Presented during MOU Signing Between NICT-MIMOS (2012)

1. Dr. Mazlan Abbas
Wireless Communications
MIMOS Berhad
Overview of Wireless
Communications R&D in
MIMOS
Contact: mazlan.abbas@mimos.my
@mazlan_abbas
h"ps://www.facebook.com/drmazlanabbas6

2. Presentation Outline
• Introduction
• National Broadband Initiatives
• Vision of MIMOS Mi-WiWi
• Wireless Communications R&D Activities
• Scope of Collaboration - MIMOS-NICT Wireless
Communications
• Conclusion

3. In 2005, Malaysia targets
75% Broadband Household Penetration by 2015

4. NKEA will boost
our Gross
National Income
(GNI) by 2020
USD 15,000
RM 48,000
Per capita
USD 6,700
RM 23,770
Per capita
A National Key Economic Activities (NKEA)
is a driver of economic activity that has the
potential to directly and materially contribute a
quantifiable amount of economic growth to the
Malaysian economy
[Source: PEMANDU http://www.pemandu.gov.my/]

5. 12 NKEAs
[Source: PEMANDU http://www.pemandu.gov.my/]

6. MY Creative Content!
Local content hub to
vitalise creative sector,
reduce dependence on
international connectivity,
and export content!
1MY Payment!
Common standards,
platforms and security
protocols to cashless
payment to masses in
Malaysia"
Connecting 1MY!
Next-generation
services to provide
ubiquitous connectivity
and compelling services
for the Rakyat at home,
in the workplace,"
and ‘on-the-"
move’"
E-Learning!
Integrated approach to
provide access, devices,
and platforms/content/
applications to benefit
the learning"
Rakyat"
E-Healthcare!
Networked healthcare
providers to each other
and to their patients to
improve productivity and
information
management"
E-Government!
Increasing the
accessibility, speed, and
transparency of
government services
through communications
technology"
Broadband for All!
Establishing broadband
as an essential service
to Malaysians on par
with other utilities, e.g.
water and electricity"
Extend Reach!
Acceleration and
expansion of broadband
coverage in non-urban
areas (e.g. to Zone 2
and"
Zone 3)"
Smart Network!
Differentiated pricing to
provide higher quality
and more affordable
service"
Regional Network!
Capacity increase of
Malaysia’s submarine cable
network to lower
international IP connectivity
costs"
3a!
3b!
3c!
3d!
2a!
2b!
2c!
1a!
1b!
1c!
Enhancing Foundation!
(Next Generation Infrastructure)!
Pushing Boundaries!
(Industries Enablement)"
Serving Tomorrow!
(Platform, Applications, Content)!
CCI - 10 EPPs covering 3 major categories
[Source: PEMANDU http://www.pemandu.gov.my/]

7. Time
Socio-economicvalueofICTs
Access gap
Value gap
• Poor Value
realization due to
Insufficient value
creating content
• Barrier to entry due
to literacy level and
language
• Complexity of
Computers
• Connectivity
• Devices
• High cost of
Infrastructure
deployment
16
26
36
Holistic View of Bridging the Digital Divide (BDD)
Social6&6economic6
impact6of6ICTs6
Intensity6of6ICT6
adopBon6
Diffusion6of6ICT6
infrastructure6

8. WiWi Vision
Connecting the Unconnected
Bridging the Digital Divide

9. Users6
Access6Point6
Relay6
HOT$SPOT$
(50M200m)6
HOT$ZONE$
(500mM1km)6
Relay6
DRMMesh6
METRO$NET$
(5M10km)6
Mesh6
Mesh6
Mesh6 Mesh6
Mesh6
Mesh6
PAN6Gateway6(0M50m)6
HOT$ZONE$
20126MIMOS6Berhad.6All6Rights6Reserved.66
96
WiWi Deployment Scenarios

10. Municipal WiFi@Melaka
MCMC Kampung WiFi@ N. Sembilan
Wifi@GloriaJean’s Coffee River Thames
Pekan6Kota6
Teriang6 Kampung6
Puom6
Kampung6
Kerangai6
20126MIMOS6Berhad.6All6Rights6Reserved.66
106
WiWi AP
WiWi Relay
WiWi Enterprise
WiWi Point to Point (PtP)
WiWi PtP/Bridge
WiWi Hybrid (Wimax/HSDPA/
LTE)
WiWi Relay Enterprise
WiWi MESH
WiWi Variants

11. Kampung Tanpa Wayar 2.0 – Ulu Jelebu (May 2012)

12. Providing6Quality6of6Service6with6high6quality,6
realMBme,6onMdemand6mulBmedia6content6
delivery6across6wireless6networks6
6
Building6Hotspots,6Hotzone6and6MetroNet6
scenarios6with6IOTMsupport,6intelligence6
(adapBve),6Be"er6Bandwidth6Management6and6
Extended6Coverage.6
Next$Gen$WiWi6
“When&WiWi&is&No&Longer&Just&An&Access&Point&(AP)”&
6

13. WiWi Hotspot To Build Customer Loyalty and Generate New
Business Opportunities
New6Landing6Page6 Local6contents6
Intelligent6Surveillance6Pla_orm6 Localised6videos6Smartphones6

14. Clients6
Group6
Sources6
Provide6QoS6to:6
M Specific6Sources6
M Specific6Clients6
M Specific6Group6of6Clients6
S16
S26
C16 C26
C36
G16
G26
A New Revenue Stream

15. Premium66
AdverBser6
When6Hotspot6is6NOT6Congested6
M6Both6AdverBsers6have6excellent6quality6
S16
S26
Normal6
AdverBser6
Advertisers Pay for Consumers

16. When6Hotspot6is6Congested6
M6Both6AdverBsers6suffer6quality6degradaBon6
S16
S26
Premium66
AdverBser6
Normal6
AdverBser6
Advertisers Pay for Consumers

17. When6MIMOS6QMCAST6is6enabled6
M6Premium6AdverBser6have6be"er6quality6
S16
S26
Premium66
AdverBser6
Normal6
AdverBser6
Advertisers Pay for Consumers

18. Inter-PAN Mobility (Internet of Things)
• No6Suitable6energy6efficient6mobility6protocols6in66LoWPAN6
• There6are6no6suitable6soluBons6available6to6provide6InterMPAN6
mobility6support6for6LoWPAN6devices6
• CommunicaBons6disrupBon6when6node6moves6
• Inter6 PAN6 Mobility6 for6 low6 power6 personal6 area6 network6
(LoWPAN)6
• Reducing6 the6 number6 of6 message6 exchanges6 between6 the6
nodes6 and6 the6 correspondent6 node6 while6 maintaining6 the666
support6of6mobility6
• To6 define6 a6 communicaBon6 mechanism6 for6 gateways6 or6
edge6routers6
• To6 enable6 InterMPAN6 Mobility6 considering6 features6 such6 as6
low6complexity,6low6message6overhead,6low6memory6usage,6
low6latency6and6reliability6
• Large6overhead6 6for6IPv6MIPv66tunneling6 6and6IPSec,6and6also6666
large66code6size6of6MIPv66for6LoWPAN6networks6
• Need6of6staBc6nodes6in6network6for6mobile6node6detecBon6
MIPv66
LoWMob6
Research$Mo9va9on$
Problems$with$exis9ng$solu9ons$
Objec9ves$

19. Mobile Opportunistic Network
!
!
To6 develop6 an6 IoT6 architecture6 that6 is6
resilient6 to6 disrupBon6 of6 the6 physical6
network6and6should6also6anBcipate6that6
many6 nodes6 will6 be6 mobile6 and6 may6
have6intermi"ent.6
6Applica9ons$of$Delay$Tolerant$Network$(DTN):$
TransportaBon,6agriculture,6public6safety,6emergency6response,6shopping6malls6etc6
Objec9ve$
There6 are6 Bmes6 when6 network6
connecBvity6 (Internet)6 is6 unavailable,6
but,6in6certain6situaBons,6users6sBll6want6
the6 message6 to6 be6 carried6 through6
when6opportunity6arise.6
6
Research$Mo9va9on$

20. Wireless Multi-Hop Network Coverage Optimization
Objec9ves$
• To6design6future6WiWi6network6architecture6for6
performance6edge6in6both6homogeneous6and6
heterogeneous6environments6
• To6opBmize6performance6of6WiWi6in6single6hop,6
mulBhop6and6mesh6mode6
• To6provide6compeBBve6insights6on6technological6
edge6and6deployment6strategies6i.e.66how6to6best6
design6WiWi6for6various6naBonal6broadband6
iniBaBves6
Topology$Design$
(a) 1 WiWi
(b) 2 WiWis (c) 3 WiWis
(d) 4 WiWis
(e) 5 WiWis
!
R
GW
GW
GW
GW
GW
GW
GW GW
GW
GW GW
GW GW
GW
backhaul link distance access coverage
cell with multiple
modulation and
coding scheme
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 10 20 30 40 50
Percentage)of)Houses)Conencted
Tx)Power)(dBm)
Optimised4Channel
Worst4Case
No4Interference
!
Connected$Household$vs.$TxPower$ PNHop$Distance$vs.$Coverage$vs.$Datarate$

21. 216
Internet$
Live
Broadcast
Server
Reducing Server Workload and Long Distance Traffic
with Dynamic Traffic Redirection
• Reduce6the6cost6of6internaBonal6link6
• Localized6the6content6
Research$Mo9va9on$
• To6develop6an6efficient6content6and6service6
delivery6 pla_orm6 that6 could6 serve6 an6
increased6 number6 of6 client6 requests,6 with6
minimum6traffic6incurred6to6both6server6and6
longMdistance6network6
Objec9ve$

22. Cognitive WiWi with Dynamic Spectrum Allocation
• 6Spectrum6occupancy6studies6in6Malaysia6have6
shown6that6the6radio6spectrum6is6inefficiently6
used6today.6
• OperaBng6in6ISM6band,6WiFi6AP/users6have6to6
share6the6spectrum6and6are6subject6to6
interference6from6mulBple6sources.6
Research$
Mo9va9on$
• During6radio6operaBon,6the6cogniBve6radio6is6
sensing6its6environment,6adhering6to6policy6
and6configuraBon6constraints,6to6best6uBlize6
the6available6radio6spectrum6and6meet6user6
demands6
Dynamic$
Spectrum$
Alloca9on$
• Algorithm6to6sense6and6detect6Exis9ng$AP$
while6allowing6Cogni9ve$WiWi6to66
opportunisBcally6use6the6unuBlized6spectrum6
• Cogni9ve$WiWi$will6find6and6move6to6a6new6
channel6to6avoid6interference6with6Exis9ng$AP6
Cogni9ve$
WiWi$6
Frequency6
Amplitude6
ExisBng6AP616
CogniBve6WiWi626
AP626
WiWi626WiWi616AP616
ExisBng6AP626
CogniBve6WiWi616
AP616 WiWi616
WiWi626
AP626
Scenario$

23. Experimental Results
• Conventional fixed frequency
transmission at 2.4GHz frequency in
the presence of other user (using
the same frequency)
• Video transmission was interrupted
due to co-channel interference.
• Dynamic frequency selection
algorithm at 2.4GHz frequency in the
presence of other user (using the
same frequency)
• No interruption in video transmission
as the cognitive WiWi is aware of
the interference and select new
frequency to transmit
Without$DFS$ With$DFS$

24. Cognitive WiWi with Dynamic Spectrum Allocation
Background$
• 6Increasing6growth6of6access6and6backhaul6
traffic6in6terms6of6data6rates6has6led6to6search6
for6new6dynamic6spectrum6allocaBon.6
• CogniBve6WiWi6will6improve6spectrum6
occupancy6by6opportunisBcally6idenBfying6and6
exploiBng6available6spectrum6resources6
without6causing66interference.6
Technical$Challenges$
• 6To6devise6new6algorithm6to6sense6detect6
spectral6hole6(white6space)6and6to6
demonstrate6new6method6to6allow6dynamic6
frequency6selecBon6and6spectrum6allocaBon.66