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Short Paper
Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013

Add-on or Integration? The future of CR Deployment
in Real World - An Industrial and Marketing
Viewpoint
Chao Zou
Fidelity National Information Services Inc. , Malvern, PA, USA
Email: czou@mtu.edu
Abstract—Cognitive radio (CR) was once considered as a
breakthrough technique to reform the field of wireless
communication characterized by great spectrum efficiency
enhancement. However, for more than a decade years, this
technology has been dwelling in the academia without being
able to put expertise to good use in industry. The ultimate
reason for this phenomenon is the pervasive idea to consider
the cognitive radio network (CRN) as an add-on for existing
wireless communication systems, an inevitable result caused
by CRN related prescriptions made by FCC. This paper
analyzes why such an add-on mode for CRN is hard to be
accepted by incumbent wireless communication systems from
various perspectives. Meanwhile, we analyze feasibility to
operate CRNs integrating with incumbent wireless
communication systems from both technical and economic
perspectives.
Index Terms—Cognitive Radio, Deployment Mode, Add-on
Mode, Integration Mode.

I. INTRODUCTION

was coined in 1999 by J. Mitola [1].Cognitive radio is the
radio that can quickly senses the signal in large scale
spectrum and dynamically accesses desired spectrum band,
as facilitated by the techniques including compressed sensing
[2] and software defined radio [3].After CR notion was
formally proposed, myriad research has been conducted from
different perspective to try using the technique to help real
world. FCC also voted to proceed with opening up vacant
broadband spectrum channels to new and innovative wireless
devices [4]. However, more than a decade years passed after
Mitola’s first paper on CR, even the first standard for
cognitive radio- IEEE802.22 is still not perfectly finished, let
alone large-scale applications of the CR technique.
What is wrong? One culprit might be one constraint
prescribed by FCC. Obscured by the amazing sensibility of
cognitive radio and appealing merit that cognitive radio can
re-use those spectrum already allocated, most people
optimistically believe that cognitive radio can be successfully
implemented without changing the existing
telecommunication systems at all. Under this pervasive
optimistic environment, FCC prescribed “no modification to
the incumbent system should be required to accommodate
opportunistic use of the spectrum by secondary users”[5] as
the fundamental requirement for deploying CRNs. (Here
secondary user is another name for cognitive radio users
who have no spectrum license, and correspondingly primary
users refer to those incumbent radios who purchased the
license of the spectrum). Since then, many researches are
tightly constrained by this prescription to probe for the
solutions for constructing the cognitive radio network (CRN)
without any change on existing communication systems. We
refer to such CRN deployment mode as add-on mode for
CRN implementation. Next, we will analyze what difficulties
such add-on mode will encounter in reality.

The 21st century witnesses an explosive use of wireless
communications. People always want to be interconnected:
people may check email, watch videos, play online games
and so forth wherever and whenever. All these applications
consume both power and radio bandwidth-lots of it.
Advanced technology now can put high power volume in
devices fitting in our pockets. However spectrum is always a
limited resource and technology cannot “create” new
spectrum. For most spectrum bands, the service providers
should buy the corresponding license from Federal
Communications Commission (FCC) before using them. Such
spectrum is thus named as “licensed spectrum” and users
who use the spectrum are “licensed user”. As wireless
communication prevails, spectrum licenses become precious
commodities and people are already feeling the pinch.With
the reality that the spectrum cannot be created at will, the
II. PROBLEM OF ADD-ON DEPLOYMENT MODE
effort should be placed on “fully” utilizing available spectrum.
When the CRN is deployed in the licensed band, the
One straightforward phenomenon of “inefficient” spectrum
incumbent communication system that paid for the license is
utilization is that the licensed users usually do not use their
usually called as “Primary Network” or “Primary Users”, and
purchased spectrum all the time at all places. For instance,
the CRN is called as “Secondary Network” or “Secondary
for the TV system, a TV is usually not receiving program on
Users”. The key concern for CRN deployment is the feasibility
one channel for 24 hours a day; also, there cannot be a TV
of primary and secondary network coexistence (named as Pset on every square inch in the coverage area of a TV station.
S coexistence). In this section, we will analyze the potential
An immediate idea is to allow others utilize the spectrum
issues on the P-S coexistence under the add-on mode.
when the licensed users are not using them. This idea breeds
the technology of cognitive radio (CR), the notion of which
103
© 2013 ACEEE
DOI: 01.IJRTET.8.2.47
Short Paper
Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013
A. Issue of Primary Receiver Detection
For incumbent communication systems, the spectrum
most extensively used is between 300MHz-3GHz. The reason
being, the radio waves with frequency more than 3GHz cannot
well pass obstacles while radio waves lower than 300MHz
require awkwardly large antennas for efficient transmission.
When we check the residents living in the swath of spectrum
from 300MHz to 3GHz, except cellular systems and unlicensed
band (which is always free to use for any device), most
communications systems such as TV network, GPS Systems,
Navigation Systems and so forth are simplex communication
systems, i.e. communication devices can only transmit or only
receive. Therefore such a primary network is composed of
two types of communication devices, primary transmitter (PT)
and primary receiver (PR). The most fundamental requirement
for the cognitive radios is that they should not interfere with
the reception of active incumbent device, i.e. the CR can only
transmit over a channel under the condition that all the primary
receivers within the CR’s interference range are not active on
that channel. When the CRN coexists with a simplex primary
network, the premier concern is, the CR can only sense the
signal from the primary transmitter but cannot detect the
activity of the primary receiver. Therefore it may happen that,
as shown in figure 1, when CR senses the PT’s signal, but PR
is out of the interference range of CR. Therefore such signal
sensing may become ineffective.

Fig. 2. Simulation on PR detection Effectiveness

range of PT’s signal is much larger than the CR’s interference
range, the PR nearby probability is almost 0, which accords
with our analysis. In reality, for civilian use, the CR’s
transmission range is usually within 0.1 mile; however, in most
of existing simplex networks, the PT’s transmission distance
is much larger (e.g. tens of miles for TV signal) than CR’s
transmission range. According to the above analysis, the
ineffectiveness of signal sensing would be very severe in real
simplex primary networks.Another more serious issue is the
asynchrony between PT and PR, that is, when the PT is
transmitting, the PR may not be receiving. This is very common
in reality, for instance, one TV tower may transmit 24 hours a
day; however, a person cannot watch TV for 24 hours a day!
So in essence, the difficulty of PR activity detection is: when
a CR senses a PT’s signal, it can hardly assert there is a PR
nearby; even a PR does exist, the CR cannot make sure that
the PR is receiving the PT’s signal. In this case, how about
letting the CR only work in the area where the PT’s signal can
never be sensible? This may work; however, it is no longer PS coexistence. A more ironical thing is this usually does not
need the CR technique at all in reality! For instance in TV
network, since the TV towers have fixed locations, we can
always know in which area the TV signals are sensible by precalculation or on-site detection. Consequently, we can draw a
map to mark out the TV-signal free area. Then any
communication device can use the corresponding TV spectrum
in those TV-signal free areas without relying on CR technique
to periodically sensing the TV spectrum. In fact in 2010, FCC
Commissioners already ditched the “spectrum sensing”
technique but required the secondary user to query a special
geolocation database to determine TV-signal free area. This is
more like a purely “white-space” technology but not “CR”
technology. But this does not eliminate the importance of CR
technology. The reason being, the FCC’s new rule of giving
up spectrum sensing faces the marketing concerns, i.e. the
area having no incumbent signals also denotes the depression
of the spectrum market in that area. For instance, who is going
to For instance, who is going to invest money to build a set of
communication system in a desolated area where there is even
no TV signal?

Fig. 1. Ineffectiveness of signal sensing based PR detection

Such issue is aggravated by the following fact: when the
signal from the primary transmitter (PT) is sensed by one CR,
the probability that the primary receiver (PR) is in the
interference range of the CR (named as PR-nearby probability)
decreases with sensible range of the primary transmitter’s
signal. The smaller PR nearby probability PPR denotes less
effectiveness of the signal sensing. The reason being, when
the primary transmitter’s signal covering range increases, it
is more possible that two devices that can sense the signal
are far away from each other. Therefore PR is less possible
nearby and hence the signal sensing becomes more
meaningless. Figure 2 gives the result of simulation on the
PR-nearby probability PPR. The simulation setting is: the
transmission range of a PT is rc, (the X-axis in figure 2); the
distance between PT and PR is a random variable rTR~U(0,
rc); the range within which PT’s signal can be sensed (i.e.
PT’s interference range) is 2rc; the CR randomly appeared
inany point within the PR’s interference range; the interference
distance of a CR is also twice of the CR’s transmission
range.Each simulation data is an average result of 10000 runs.
From the simulation result, we can find that when the sensible
© 2013 ACEEE
DOI: 01.IJRTET.8.2. 47

B. Issue of Sensing Correctness
In duplex primary network, since a communication device
can both transmit and receive, the PR can be indirectly
detectedthrough signal sensing. For instance, in a cellular
network environment, the CRs can detect a mobile unit’s
104
Short Paper
Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013
activity in the channel (if frequency division duplex (FDD) is
adopted) or timeslot (if time division duplex (TDD) is adopted)
where the mobile unit transmits; then CRs should avoid
interfering with active mobile unit on the channel or timeslot
where the mobile unit receives. However, when CRNs working
in duplex primary network, an immediate question the primary
network operators would raise up is, how accurate and
reliable is the sensing technique? There may be two sensing
errors: 1) the primary signal is not detected while the CR’s
signal can interfere with the primary user; 2) the primary signal
is sensed but the CR’s signal in fact would not interfere with
the primary user. These errors are caused by different
transmission powers adopted by the PTs and CRs as well as
different fading paths that PT’s and CR’s signals go
through.The sensing correctness can be enhanced by
multiple cognitive radio users collaborating to sense. However,
the communication cost for collaboration might be an issue.
Another more severe issue is the existence of potential
malicious users who reports false spectrum sensing
information. The fundamental issue is that it is still doubtful
whether the collaboration can improve the sensing
correctness to the level that can be acceptable by primary
network operators.

problem of the accessing after sensing pattern is that it requires
the synchronization of all CRs to make sure all the CRs are all
quiet during the quiet period. If the accessing after sensing
pattern does not work, how about canceling the difference
between the working period and quiet period, i.e. let the CR
simultaneously sense and transmit, and if a CR sense the
primary signal then the CR stop transmission? This is also
infeasible because this requires the cognitive radio can clearly
identify whether the sensed signal is from the primary user or
the secondary user. As discussed in section 2.3, this
requirement can be hardly achieved when multiple signals
are mixed.

C. Issue of Malicious Radios
As mentioned in previous subsection, if cooperative
sensing is adopted, malicious secondary users may report
false spectrum sensing information. Moreover, malicious
users may also transmit in the sensing period (during which
all CRs should keep quiet). It may happen that: 1) if there are
PRs receiving, the malicious users will interfere with the PRs.
In this case, there should be a monitoring system to detect
such interference on PRs. Such monitoring system will bring
extra cost. Also, such monitoring system requires monitoring
sensors to be installed close to PRs, which inevitably needs
the agreement from primary users. In this case, the principle
of add-on mode, i.e. no modification to the incumbent system,
is violated; 2) If all PRs are receiving, malicious transmission
won’t interfere with PRs but will mislead the benign CR users
to believe there are active primary users nearby and thus
give up the spectrum accessing opportunity. The malicious
behavior in this case is usually referred to as licensed user
emulation (LUE) or primary user emulation (PUE) attack [6].
Although there have been some methods to detect such LUE
attack [7], but these methods cannot guarantee such attacks
can always be detected. Moreover, these methods can only
work to distinguish signal of single malicious CR from signal
of single primary user, and can not work for the situation
where multiple signals are mixed.

Considering above formidable issues of the add-on
deployment mode for setting up the secondary CRN systems,
it is natural to consider the feasibility of a contrary deployment
mode, primary-secondary network integration (named as P-S
integration) mode, i.e. co-designing and co-operating the CRN
and primary network. The integration mode also faces
challenges from both the technique and economic side. In
the following, we will discuss these challenges and potential
solutions.

D. Issue of “Accessing after Sensing”
Most CRNs adopt the pattern that CRs first sense
spectrum in a period named as “quiet period” (a.k.a. sensing
period) and next access the free spectrum in a period called
as “working period” [8]. However, it may happen that the
primary users are not active during the quiet period but turn
active during the working period. In this case,
CRs’transmissionwill interfere with active PRs. Another
105
© 2013 ACEEE
DOI: 01.IJRTET.8.2.47

E. Issue of Market Motives
The add-on installation method requires no cost for the
existing primary systems, which is good from economics
perspective. However, on the other hand, since the primary
network is unaware of the activity of secondary network, the
primary network can gain nothing from the secondary network,
thus the existing telecommunication operators lack the motives
to promote the CR technique.
III. POTENTIAL OF INTEGRATION DEPLOYMENT MODE

A. Technical Perspective
The core challenge for the P-S integration mode is still to
correctly detect the activities of PRs. Since now the primary
networks can be modified, it is feasible to realize the reliable
PR activity detection even in simplex primary networks. There
are two potential methods for PR detection in simplex primary
networks. The first method, referred to as aided PR detection,
relies on the aid from sensors deployed close to PRs to detect
the PR activity. The aiding sensors detect PRs’ receiving
channels by detecting the leaked power from their local
oscillators [9]. The second method can be referred to as feedbacked PR detection. This method requires modifying the
existing PR device so that the PR can feedback its reception
status to the secondary users. From technical perspective,
the first method is easier to realize since the sensors are
externally deployed and hence requires no modifications onon
incumbent communication devices. However, the first method
cannot guarantee the reliable PR activity detection since
theleaked power detection is not stable. The second method
can provide accurate PR detection method but the
modifications on PR device would be troublesome as well as
costly. Another challenge for the P-S integration mode is
thesystem architecture design. If the P-S hybrid network is
centralized, i.e. a base station (BS) takes charge of the network,
Short Paper
Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013
all the management load would concentrate on the BS. Such
architecture design might not be very difficult since only the
BS needs to be upgraded for network management. One
method is: the BS can provide different QoS to primary users
and secondary users; the BS should guarantee that the
activity of secondary users will not lower the original QoS of
the primary users. If the P-S hybrid network is a distributed
network, the network management design is a challenging
issue. A potential solution is: electing some nodes as
monitoring nodes to monitor and regulate the behaviors of
secondary users, so that CRs activities will be controlled not
to interfere with primary users.

client base in such market is very fragmented and hence the
existing device upgrading is costly as well as time-consuming.
Maybe the initial market ought to target at national hotel
chains. For instance the freed TV spectrum can be sold for
customers to connect their computers to Internet without
crowding in the unlicensed band. By starting the CR market
at chained hotels, not only could the hotel chain provides
sustainable revenue in the short term for the
telecommunication operators, also such P-S integration
system could gain national credibility.

B. Economic Perspective
From the economic perspective, the optimum new market
should show opportunity for significant growth and have
few entry barriers. The most formidable barrier for the P-S
integration mode is the high cost for upgrading primary
network devices. There are two possible strategies to work
this problem out. One potential strategy is to catch a chance
when a large-scale system upgrade happens. A typical largescale system upgrade example is the transition from analog
to digital TV. In such nationwide system upgrading, since
the TV device change is necessary, it cost little to just add an
extra function of communicating with the secondary user.
The function can be added into the new-made digital TV
directly or the set-top box. It’s really regretful such good
chance for deploying CRNs passed away since such transition
was already finished in 2009 in US. To not miss some similar
chances in the future, it is very necessary that more research
be dedicated to the P-S integration mode to verify whether
the P-S integration is feasible as early as possible. The second
strategy is to compensate for the cost of changing the primary
systems by allowing the primary users to charge certain fees
from the secondary users. Therefore there should be a
charging center installed in the network to make the charging
rules and functions. For centralized P-S hybrid network, the
charging center can be directly installed in the BS or it can be
upgraded from the existing charging center in the BS
considering most primary networks already have their own
charging system. For distributed P-S hybrid network, each
primary user should include a charging module to levy on
secondary users. The fee a secondary user pays should be
based on its spectrum usage.The spectrum usage information
can be reported by secondary users and verified by some
nodes assigned as monitoring nodes. This fee-charging
strategy on the other hand can promote upgrading existing
communication systems since there are incentives for both
customers and system operators. For instance, it took many
years to transit to digital TV system since t he TV operators
and customers were reluctant to do so. If the P-S integration
mode (i.e. TV network and CRN integration) were realized at
that time, the incentives to make profit from CRNswould greatly
promote and accelerate the transition process. Another
immediate economic issue is where to start the initial market
for the S-P integration. It may not be a wise idea to choose
residential pools as its initial market. The reason being, the

From the above analysis, maybe the integration
deployment mode is more practical to build CRN in real life.
However, there might be some other challenges for the
integration deployment and some potential methods
proposed in this paper used for integration deployment mode
may turn out infeasible. The practical CRN deployment mode
is still a debatable topic. In regard to uncertainness of the
future CR development, there should be equal focuses on
the two operation modes (add-on and integration) to realize
practical P-S coexistence. However, it’s regretful to see
overwhelming majority effort has been placed in studying
the add-on mode. So the main goal of this paper is to call for
more attention and research on the P-S integration deployment
mode for the practical CRN realization so that the CR technique
can be implemented for daily business and personal life as
early as possible.

© 2013 ACEEE
DOI: 01.IJRTET.8.2.47

IV. DISCUSSIONS AND CONCLUSIONS

REFERENCES
[1] J. Mitola III and G. Q. Maguire, “Cognitive radio: making
software radios more personal”, IEEE Personal
Communications, Vol. 6, No. 4, pp. 13-18 , 1999
[2] E.J. Candes and M.B. Wakin, “ An Introduction To
Compressive Sampling”, IEEE Signal Processing Magazine,
vol. 25, Issue: 2 pp. 21-30, 2008
[3] D. Raychaudhuri and N.B. Mandayam, “Frontiers of Wireless
and Mobile Communications”, Proceedings of the IEEE
Volume: 100 , Issue: 4 pp. 824-840, 2012
[4] http://www.marketwire.com/press-release/Shared-SpectrumCompany-Applauds-FCCs-Vote-on-Opening-TV-WhiteSpaces-Promote-Innovative-1324187.htm
[5] Federal Communications Commission,“Facilitating
opportunities for flexible, efficient, and reliable spectrum use
employing spectrum agile radio technologies,” ET Docket No.
03-108, Dec. 2003
[6] P. Pawelczak, “Protocol Requirements for Cognitive Radio
Networks (Freeband/AAF/D4.11)” Enschede: Freeband, 2005.
[7] Y. Liu, P. Ning and H. Dai, “Authenticating Primary Users’
Signals in Cognitive Radio Networks via Integrated
Cryptographic and Wireless Link Signatures,” Proc. IEEE
Symposium on Security and Privacy, pp. 286-301, 2010
[8] C. Cordeiro, K. Challapali, D. Birru and N. Sai Shankar, “IEEE
802.22: the First Worldwide Wireless Standard Based on
Cognitive Radios”, in Proc. IEEE DySPAN 2005, pp.328337, 2005
[9] B. Wild, and K. Ramchandran, “Detecting primary receivers
for cognitive radio applications”, Proc. of the IEEE DySPAN,
pp. 124-30, 2005.

106

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Add-on or Integration? The future of CR Deployment in Real World - An Industrial and Marketing Viewpoint

  • 1. Short Paper Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013 Add-on or Integration? The future of CR Deployment in Real World - An Industrial and Marketing Viewpoint Chao Zou Fidelity National Information Services Inc. , Malvern, PA, USA Email: czou@mtu.edu Abstract—Cognitive radio (CR) was once considered as a breakthrough technique to reform the field of wireless communication characterized by great spectrum efficiency enhancement. However, for more than a decade years, this technology has been dwelling in the academia without being able to put expertise to good use in industry. The ultimate reason for this phenomenon is the pervasive idea to consider the cognitive radio network (CRN) as an add-on for existing wireless communication systems, an inevitable result caused by CRN related prescriptions made by FCC. This paper analyzes why such an add-on mode for CRN is hard to be accepted by incumbent wireless communication systems from various perspectives. Meanwhile, we analyze feasibility to operate CRNs integrating with incumbent wireless communication systems from both technical and economic perspectives. Index Terms—Cognitive Radio, Deployment Mode, Add-on Mode, Integration Mode. I. INTRODUCTION was coined in 1999 by J. Mitola [1].Cognitive radio is the radio that can quickly senses the signal in large scale spectrum and dynamically accesses desired spectrum band, as facilitated by the techniques including compressed sensing [2] and software defined radio [3].After CR notion was formally proposed, myriad research has been conducted from different perspective to try using the technique to help real world. FCC also voted to proceed with opening up vacant broadband spectrum channels to new and innovative wireless devices [4]. However, more than a decade years passed after Mitola’s first paper on CR, even the first standard for cognitive radio- IEEE802.22 is still not perfectly finished, let alone large-scale applications of the CR technique. What is wrong? One culprit might be one constraint prescribed by FCC. Obscured by the amazing sensibility of cognitive radio and appealing merit that cognitive radio can re-use those spectrum already allocated, most people optimistically believe that cognitive radio can be successfully implemented without changing the existing telecommunication systems at all. Under this pervasive optimistic environment, FCC prescribed “no modification to the incumbent system should be required to accommodate opportunistic use of the spectrum by secondary users”[5] as the fundamental requirement for deploying CRNs. (Here secondary user is another name for cognitive radio users who have no spectrum license, and correspondingly primary users refer to those incumbent radios who purchased the license of the spectrum). Since then, many researches are tightly constrained by this prescription to probe for the solutions for constructing the cognitive radio network (CRN) without any change on existing communication systems. We refer to such CRN deployment mode as add-on mode for CRN implementation. Next, we will analyze what difficulties such add-on mode will encounter in reality. The 21st century witnesses an explosive use of wireless communications. People always want to be interconnected: people may check email, watch videos, play online games and so forth wherever and whenever. All these applications consume both power and radio bandwidth-lots of it. Advanced technology now can put high power volume in devices fitting in our pockets. However spectrum is always a limited resource and technology cannot “create” new spectrum. For most spectrum bands, the service providers should buy the corresponding license from Federal Communications Commission (FCC) before using them. Such spectrum is thus named as “licensed spectrum” and users who use the spectrum are “licensed user”. As wireless communication prevails, spectrum licenses become precious commodities and people are already feeling the pinch.With the reality that the spectrum cannot be created at will, the II. PROBLEM OF ADD-ON DEPLOYMENT MODE effort should be placed on “fully” utilizing available spectrum. When the CRN is deployed in the licensed band, the One straightforward phenomenon of “inefficient” spectrum incumbent communication system that paid for the license is utilization is that the licensed users usually do not use their usually called as “Primary Network” or “Primary Users”, and purchased spectrum all the time at all places. For instance, the CRN is called as “Secondary Network” or “Secondary for the TV system, a TV is usually not receiving program on Users”. The key concern for CRN deployment is the feasibility one channel for 24 hours a day; also, there cannot be a TV of primary and secondary network coexistence (named as Pset on every square inch in the coverage area of a TV station. S coexistence). In this section, we will analyze the potential An immediate idea is to allow others utilize the spectrum issues on the P-S coexistence under the add-on mode. when the licensed users are not using them. This idea breeds the technology of cognitive radio (CR), the notion of which 103 © 2013 ACEEE DOI: 01.IJRTET.8.2.47
  • 2. Short Paper Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013 A. Issue of Primary Receiver Detection For incumbent communication systems, the spectrum most extensively used is between 300MHz-3GHz. The reason being, the radio waves with frequency more than 3GHz cannot well pass obstacles while radio waves lower than 300MHz require awkwardly large antennas for efficient transmission. When we check the residents living in the swath of spectrum from 300MHz to 3GHz, except cellular systems and unlicensed band (which is always free to use for any device), most communications systems such as TV network, GPS Systems, Navigation Systems and so forth are simplex communication systems, i.e. communication devices can only transmit or only receive. Therefore such a primary network is composed of two types of communication devices, primary transmitter (PT) and primary receiver (PR). The most fundamental requirement for the cognitive radios is that they should not interfere with the reception of active incumbent device, i.e. the CR can only transmit over a channel under the condition that all the primary receivers within the CR’s interference range are not active on that channel. When the CRN coexists with a simplex primary network, the premier concern is, the CR can only sense the signal from the primary transmitter but cannot detect the activity of the primary receiver. Therefore it may happen that, as shown in figure 1, when CR senses the PT’s signal, but PR is out of the interference range of CR. Therefore such signal sensing may become ineffective. Fig. 2. Simulation on PR detection Effectiveness range of PT’s signal is much larger than the CR’s interference range, the PR nearby probability is almost 0, which accords with our analysis. In reality, for civilian use, the CR’s transmission range is usually within 0.1 mile; however, in most of existing simplex networks, the PT’s transmission distance is much larger (e.g. tens of miles for TV signal) than CR’s transmission range. According to the above analysis, the ineffectiveness of signal sensing would be very severe in real simplex primary networks.Another more serious issue is the asynchrony between PT and PR, that is, when the PT is transmitting, the PR may not be receiving. This is very common in reality, for instance, one TV tower may transmit 24 hours a day; however, a person cannot watch TV for 24 hours a day! So in essence, the difficulty of PR activity detection is: when a CR senses a PT’s signal, it can hardly assert there is a PR nearby; even a PR does exist, the CR cannot make sure that the PR is receiving the PT’s signal. In this case, how about letting the CR only work in the area where the PT’s signal can never be sensible? This may work; however, it is no longer PS coexistence. A more ironical thing is this usually does not need the CR technique at all in reality! For instance in TV network, since the TV towers have fixed locations, we can always know in which area the TV signals are sensible by precalculation or on-site detection. Consequently, we can draw a map to mark out the TV-signal free area. Then any communication device can use the corresponding TV spectrum in those TV-signal free areas without relying on CR technique to periodically sensing the TV spectrum. In fact in 2010, FCC Commissioners already ditched the “spectrum sensing” technique but required the secondary user to query a special geolocation database to determine TV-signal free area. This is more like a purely “white-space” technology but not “CR” technology. But this does not eliminate the importance of CR technology. The reason being, the FCC’s new rule of giving up spectrum sensing faces the marketing concerns, i.e. the area having no incumbent signals also denotes the depression of the spectrum market in that area. For instance, who is going to For instance, who is going to invest money to build a set of communication system in a desolated area where there is even no TV signal? Fig. 1. Ineffectiveness of signal sensing based PR detection Such issue is aggravated by the following fact: when the signal from the primary transmitter (PT) is sensed by one CR, the probability that the primary receiver (PR) is in the interference range of the CR (named as PR-nearby probability) decreases with sensible range of the primary transmitter’s signal. The smaller PR nearby probability PPR denotes less effectiveness of the signal sensing. The reason being, when the primary transmitter’s signal covering range increases, it is more possible that two devices that can sense the signal are far away from each other. Therefore PR is less possible nearby and hence the signal sensing becomes more meaningless. Figure 2 gives the result of simulation on the PR-nearby probability PPR. The simulation setting is: the transmission range of a PT is rc, (the X-axis in figure 2); the distance between PT and PR is a random variable rTR~U(0, rc); the range within which PT’s signal can be sensed (i.e. PT’s interference range) is 2rc; the CR randomly appeared inany point within the PR’s interference range; the interference distance of a CR is also twice of the CR’s transmission range.Each simulation data is an average result of 10000 runs. From the simulation result, we can find that when the sensible © 2013 ACEEE DOI: 01.IJRTET.8.2. 47 B. Issue of Sensing Correctness In duplex primary network, since a communication device can both transmit and receive, the PR can be indirectly detectedthrough signal sensing. For instance, in a cellular network environment, the CRs can detect a mobile unit’s 104
  • 3. Short Paper Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013 activity in the channel (if frequency division duplex (FDD) is adopted) or timeslot (if time division duplex (TDD) is adopted) where the mobile unit transmits; then CRs should avoid interfering with active mobile unit on the channel or timeslot where the mobile unit receives. However, when CRNs working in duplex primary network, an immediate question the primary network operators would raise up is, how accurate and reliable is the sensing technique? There may be two sensing errors: 1) the primary signal is not detected while the CR’s signal can interfere with the primary user; 2) the primary signal is sensed but the CR’s signal in fact would not interfere with the primary user. These errors are caused by different transmission powers adopted by the PTs and CRs as well as different fading paths that PT’s and CR’s signals go through.The sensing correctness can be enhanced by multiple cognitive radio users collaborating to sense. However, the communication cost for collaboration might be an issue. Another more severe issue is the existence of potential malicious users who reports false spectrum sensing information. The fundamental issue is that it is still doubtful whether the collaboration can improve the sensing correctness to the level that can be acceptable by primary network operators. problem of the accessing after sensing pattern is that it requires the synchronization of all CRs to make sure all the CRs are all quiet during the quiet period. If the accessing after sensing pattern does not work, how about canceling the difference between the working period and quiet period, i.e. let the CR simultaneously sense and transmit, and if a CR sense the primary signal then the CR stop transmission? This is also infeasible because this requires the cognitive radio can clearly identify whether the sensed signal is from the primary user or the secondary user. As discussed in section 2.3, this requirement can be hardly achieved when multiple signals are mixed. C. Issue of Malicious Radios As mentioned in previous subsection, if cooperative sensing is adopted, malicious secondary users may report false spectrum sensing information. Moreover, malicious users may also transmit in the sensing period (during which all CRs should keep quiet). It may happen that: 1) if there are PRs receiving, the malicious users will interfere with the PRs. In this case, there should be a monitoring system to detect such interference on PRs. Such monitoring system will bring extra cost. Also, such monitoring system requires monitoring sensors to be installed close to PRs, which inevitably needs the agreement from primary users. In this case, the principle of add-on mode, i.e. no modification to the incumbent system, is violated; 2) If all PRs are receiving, malicious transmission won’t interfere with PRs but will mislead the benign CR users to believe there are active primary users nearby and thus give up the spectrum accessing opportunity. The malicious behavior in this case is usually referred to as licensed user emulation (LUE) or primary user emulation (PUE) attack [6]. Although there have been some methods to detect such LUE attack [7], but these methods cannot guarantee such attacks can always be detected. Moreover, these methods can only work to distinguish signal of single malicious CR from signal of single primary user, and can not work for the situation where multiple signals are mixed. Considering above formidable issues of the add-on deployment mode for setting up the secondary CRN systems, it is natural to consider the feasibility of a contrary deployment mode, primary-secondary network integration (named as P-S integration) mode, i.e. co-designing and co-operating the CRN and primary network. The integration mode also faces challenges from both the technique and economic side. In the following, we will discuss these challenges and potential solutions. D. Issue of “Accessing after Sensing” Most CRNs adopt the pattern that CRs first sense spectrum in a period named as “quiet period” (a.k.a. sensing period) and next access the free spectrum in a period called as “working period” [8]. However, it may happen that the primary users are not active during the quiet period but turn active during the working period. In this case, CRs’transmissionwill interfere with active PRs. Another 105 © 2013 ACEEE DOI: 01.IJRTET.8.2.47 E. Issue of Market Motives The add-on installation method requires no cost for the existing primary systems, which is good from economics perspective. However, on the other hand, since the primary network is unaware of the activity of secondary network, the primary network can gain nothing from the secondary network, thus the existing telecommunication operators lack the motives to promote the CR technique. III. POTENTIAL OF INTEGRATION DEPLOYMENT MODE A. Technical Perspective The core challenge for the P-S integration mode is still to correctly detect the activities of PRs. Since now the primary networks can be modified, it is feasible to realize the reliable PR activity detection even in simplex primary networks. There are two potential methods for PR detection in simplex primary networks. The first method, referred to as aided PR detection, relies on the aid from sensors deployed close to PRs to detect the PR activity. The aiding sensors detect PRs’ receiving channels by detecting the leaked power from their local oscillators [9]. The second method can be referred to as feedbacked PR detection. This method requires modifying the existing PR device so that the PR can feedback its reception status to the secondary users. From technical perspective, the first method is easier to realize since the sensors are externally deployed and hence requires no modifications onon incumbent communication devices. However, the first method cannot guarantee the reliable PR activity detection since theleaked power detection is not stable. The second method can provide accurate PR detection method but the modifications on PR device would be troublesome as well as costly. Another challenge for the P-S integration mode is thesystem architecture design. If the P-S hybrid network is centralized, i.e. a base station (BS) takes charge of the network,
  • 4. Short Paper Int. J. on Recent Trends in Engineering and Technology, Vol. 8, No. 2, Jan 2013 all the management load would concentrate on the BS. Such architecture design might not be very difficult since only the BS needs to be upgraded for network management. One method is: the BS can provide different QoS to primary users and secondary users; the BS should guarantee that the activity of secondary users will not lower the original QoS of the primary users. If the P-S hybrid network is a distributed network, the network management design is a challenging issue. A potential solution is: electing some nodes as monitoring nodes to monitor and regulate the behaviors of secondary users, so that CRs activities will be controlled not to interfere with primary users. client base in such market is very fragmented and hence the existing device upgrading is costly as well as time-consuming. Maybe the initial market ought to target at national hotel chains. For instance the freed TV spectrum can be sold for customers to connect their computers to Internet without crowding in the unlicensed band. By starting the CR market at chained hotels, not only could the hotel chain provides sustainable revenue in the short term for the telecommunication operators, also such P-S integration system could gain national credibility. B. Economic Perspective From the economic perspective, the optimum new market should show opportunity for significant growth and have few entry barriers. The most formidable barrier for the P-S integration mode is the high cost for upgrading primary network devices. There are two possible strategies to work this problem out. One potential strategy is to catch a chance when a large-scale system upgrade happens. A typical largescale system upgrade example is the transition from analog to digital TV. In such nationwide system upgrading, since the TV device change is necessary, it cost little to just add an extra function of communicating with the secondary user. The function can be added into the new-made digital TV directly or the set-top box. It’s really regretful such good chance for deploying CRNs passed away since such transition was already finished in 2009 in US. To not miss some similar chances in the future, it is very necessary that more research be dedicated to the P-S integration mode to verify whether the P-S integration is feasible as early as possible. The second strategy is to compensate for the cost of changing the primary systems by allowing the primary users to charge certain fees from the secondary users. Therefore there should be a charging center installed in the network to make the charging rules and functions. For centralized P-S hybrid network, the charging center can be directly installed in the BS or it can be upgraded from the existing charging center in the BS considering most primary networks already have their own charging system. For distributed P-S hybrid network, each primary user should include a charging module to levy on secondary users. The fee a secondary user pays should be based on its spectrum usage.The spectrum usage information can be reported by secondary users and verified by some nodes assigned as monitoring nodes. This fee-charging strategy on the other hand can promote upgrading existing communication systems since there are incentives for both customers and system operators. For instance, it took many years to transit to digital TV system since t he TV operators and customers were reluctant to do so. If the P-S integration mode (i.e. TV network and CRN integration) were realized at that time, the incentives to make profit from CRNswould greatly promote and accelerate the transition process. Another immediate economic issue is where to start the initial market for the S-P integration. It may not be a wise idea to choose residential pools as its initial market. The reason being, the From the above analysis, maybe the integration deployment mode is more practical to build CRN in real life. However, there might be some other challenges for the integration deployment and some potential methods proposed in this paper used for integration deployment mode may turn out infeasible. The practical CRN deployment mode is still a debatable topic. In regard to uncertainness of the future CR development, there should be equal focuses on the two operation modes (add-on and integration) to realize practical P-S coexistence. However, it’s regretful to see overwhelming majority effort has been placed in studying the add-on mode. So the main goal of this paper is to call for more attention and research on the P-S integration deployment mode for the practical CRN realization so that the CR technique can be implemented for daily business and personal life as early as possible. © 2013 ACEEE DOI: 01.IJRTET.8.2.47 IV. DISCUSSIONS AND CONCLUSIONS REFERENCES [1] J. Mitola III and G. Q. Maguire, “Cognitive radio: making software radios more personal”, IEEE Personal Communications, Vol. 6, No. 4, pp. 13-18 , 1999 [2] E.J. Candes and M.B. Wakin, “ An Introduction To Compressive Sampling”, IEEE Signal Processing Magazine, vol. 25, Issue: 2 pp. 21-30, 2008 [3] D. Raychaudhuri and N.B. Mandayam, “Frontiers of Wireless and Mobile Communications”, Proceedings of the IEEE Volume: 100 , Issue: 4 pp. 824-840, 2012 [4] http://www.marketwire.com/press-release/Shared-SpectrumCompany-Applauds-FCCs-Vote-on-Opening-TV-WhiteSpaces-Promote-Innovative-1324187.htm [5] Federal Communications Commission,“Facilitating opportunities for flexible, efficient, and reliable spectrum use employing spectrum agile radio technologies,” ET Docket No. 03-108, Dec. 2003 [6] P. Pawelczak, “Protocol Requirements for Cognitive Radio Networks (Freeband/AAF/D4.11)” Enschede: Freeband, 2005. [7] Y. Liu, P. Ning and H. Dai, “Authenticating Primary Users’ Signals in Cognitive Radio Networks via Integrated Cryptographic and Wireless Link Signatures,” Proc. IEEE Symposium on Security and Privacy, pp. 286-301, 2010 [8] C. Cordeiro, K. Challapali, D. Birru and N. Sai Shankar, “IEEE 802.22: the First Worldwide Wireless Standard Based on Cognitive Radios”, in Proc. IEEE DySPAN 2005, pp.328337, 2005 [9] B. Wild, and K. Ramchandran, “Detecting primary receivers for cognitive radio applications”, Proc. of the IEEE DySPAN, pp. 124-30, 2005. 106