This document discusses the digital transformation of telecommunication networks through new technologies like NFV/SDN. It covers several topics:
1. The evolution of networks from 4G to 4.5G to 5G and the transition to virtualized platforms.
2. Scenarios driving network transformation like the internet of things and tactile internet that will require networks to support higher data rates, lower latency, and more connections.
3. The challenges of planning networks to support new technologies and services while balancing costs and optimizing resources.
Discussing digital transformation and network evolution with SDN/NFV
1. Discussing the digital transformation
of every part of the network with
NFV/SDN
Planning the transition from 4G to 4.5G to 5G in RAN,
core, platforms
AUgUst 28th – 29Th 2018
Diretoria de Estratégia, Tecnologia e Arquitetura de Rede
Ger. Estratégia e Arquitetura de Rede
Alberto Boaventura
SDN NFV & Network Transformation Latin America
2. Telecommunication Industry Scenarios: Evolution Waves
Internet Mobile Internet Internet of Things Tactile Internet
Transformation
Enabled global communications;
New form of entertainment;
Communication cheaper;
Communications everywhere;
Reachability of users and services;
Smartphone: becoming the main device for
access to content;
Smartphones => Beginning of Digital
Transformation;
Potentialized the use of Social Networks;
It will revolutionize all industrial segments
through electronic integration and
transaction, improving and optimizing its
production processes;
New innovation platform,
inaugurating a new economic moment;
Experience not only audiovisual, but full
immersion;
They will help users (humanity) in
complementing the perception of the
world by bringing more information
through sophisticated applications of
Augmented Reality and Artificial Reality;
Market
Voice traffic superior to data;
Voice is the most important service;
Non-Real-Time Applications
Fixed broadband growth is 42% (CAGR)
against 22% for mobile accesses;
Fixed Broadband> 64 kbps;
Default ADSL.1 = 1-8 Mbps
Growth of fixed broadband is 8% (CAGR)
against 33% for mobile broadband;
The number of MBB exceeds that of FBB in
2013;
Data traffic already outperforms voice
traffic. Data becomes more the most
important service;
In the next decade will be some tens of
billions of connected objects Explosion of
connected objects;
Services with low latency and security have
another relevance;
The 5G is promising with: expectation of 1
billion subscribers in less than 5 years of
operation; above 10 trillion in revenue
over the same period;
Latency becomes more relevant than the
rate for tactile Internet services;
Technology
World wide web
Dial Up
xDSL
Packet switching and TCP / IP
WAP
EDGE, HSPA / HSPA + and LTE / LTE-A
Android
Video streaming and sharing
Social networks
Global Roaming
Access LPWA, SigFox, LoRA, LTE-M
Computing in the Cloud;
Cognitive computing;
Big Data, Analytics, Machine Learning, AI
Blockchain
Low latency systems: SDN / NFV;
Fog Computing
Quantum Computing
Quantum Internet;
2020201020001990
3. Not all services can be supported by the existing network
Enhanced Mobile
Broadband
Massive
Machine Type
Ultra-Reliable &
Low Latency
Smart
Cities
Smart
Homes
Building
3D vídeo,
UHD,
Virtual
Reality
Augmented
Reality
Industry
Automation
Self
Driving
Car
Connected
Cars
Remote
Surgery
Source: GSMA 2017
Services planned for the next decade will have new requirements that are difficult for existing
networks to offer: peak rates greater than 10x; average rates 100x higher; 10x lower latency;
number of connections 100x higher among other aspects.
4. Next Generation Mobile Network (NGMN) 5G Vision
USE CASES BUSINESS MODEL VALUE CREATION
Asset
Provider
Connectivity
Provider
Partner
Service
Provider
XaaS; IaaS; NaaS; PaaS
Network Sharing
Basic Connectivity
Enhanced Connectivity
Operator Offer Enriched by Partner
Parter Offer Enriched by Operator
Broadband Access in
Dense Areas
Broadband Access
Everywhere
Higher User Mobility Massive Internet of Things
Extreme Real-Time
Communications Lifeline Communications
Ultra-reliable
Communications Broadcast-like Services HIGH RELIABLE AND FLEXIBLE NETWORK
SERVICEEXPERIENCETRUST
Security
Identity
Privacy
RealTime
Seamless
Personalized
Interaction&
Charging
QoS
Context
“5G is an end-to-end ecosystem to enable a fully mobile and connected society. It empowers value creation
towards customers and partners, through existing and emerging use cases, delivered with consistent
experience, and enabled by sustainable business models”
Requirements
Attribute 3GPP Release 12 NGMN Requiremnents
Data rate per user Up to 100 Mbps on average
Peaks of 600 Mbps (Cat11/12)
> 10 X expected on average and peak rates
> 100 X expected on cell edge
End-toend latency 10 ms for two-way RAN (pre-
scheduled)
Typically up to 50 ms e2e I
> 10X (smaller)
Mobility Functional up to 350 km/h
No support for civil aviation
> 1,5 X
Spectral Efficiency DL: 0,074-6,1 bps/Hz
UL: 0.07-4.3 bps/Hz
Pushing for substantial increase
Connection Density 2000 Active Users/km2 > 100 X
5. Network Evolution Challenges
Technology
ITU Program IMT 2000 IMT Advanced IMT2020
Service Voice+Multimedia Voice+Internet Broadband+Video Ultra-broadband Internet of Everything
Throughput per
Sector
1 Mbps 10 Mbps 150 Mbps 1 Gbps 10 Gbps
Data Traffic <66 PB/Month 240 PB/Month 5300 PB/Month 37600 PB/Month
Connections Accesses = 500 millions
Access= 1 billion
Broadband=
Accesses= 5 billions
Broadband= 0,8 Bilhão
Accesses = 10 billions
Broadband= 3,5 billions
Accesses >30 billons
Broadband= 7,7 Billions
Carrier 5 MHz 10 MHz 20 MHz 100 MHz >100 MHz
IMT Spectrum
WARC92 e WRC00 =
749 MHz
WRC07=+428 MHz
1177 MHz
WRC15= + 709 MHz
1886 MHz
WRC19 = + 10 GHz (?)
Site Density 1 site /km2 5 sites/km2 50 sites/km2 100 sites/km2 >100 sites/km2
Backhaul Capability 2 Mbps 20 Mbps
BH: 200 Mbps
FH: 9 Gbps
BH: 2 Gbps
FH: > 9 Gbps
?
Latency 500 ms 100 ms 10 ms 10 ms <1 ms
World (Brasil) 2000(2008) 2005(2008) 2010(2013) 2015 (2017) 2018 (??)
Requirements
6. Network Planning Challenges
Multiple technologies and costs;
Service, technology and spectrum balancing;
Device subsidy;
Spectrum refarming;
Lifecycle Management
Digital Transformation
The network as an innovation platform
Adjacent Industries
Open Ecosystem
Revenue and recurring service partnerships
Application-driven development of products and services
through crowdsourcing
Agile and non-linear processes for decision making
Two-hour and two-month development processes
Beta testing with live clients
Customer Experience & Vision
Customer Centric Vision
Individualized view of the customer experience and its
services - not just the network;
Preventive and non-reactive action in network
management and services;
Service Assurance
TCO Optimization & Reduction
Revenue and Traffic decoupling
Centralization with consolidation of functions;
IP and Optical Transport networks consolidation;
Self-Organized Networks;
Automation;
New Technology;
New algorithms, multiplexing, modulation and access
technologies;
Increased Spectral Efficiency;
Diversity & Combination of Resources (MIMO, CA,
Cable bonding);
Interference Control;
Capacity & Resource Management
Flexible, Standardized & Open Architecture ;
More Capacity;
More Elasticity, Resiliency & Granularity;
Low latency;
Self Organized;
Service and Network State Awareness;
Network Slicing;
Architecture Evolution
7. Capacity & Resource Management
Low bands have good indoor penetration but small bandwidth for
broadband applications ..
SPECTRUM DILEMMA
90 MHz
150 MHz 200 MHz
500 MHz
13 GHz
700 MHz 1800 MHz 3500 MHz 5800 MHz
(LTE-U)
mmWave
Better Propagatiom
HigherBandwidth
Amount of Bandwidth
Source: Mobile Experts 2018
1x 2x 3x 4x 5x 6x
1x
2x
3x
4x
5x
6x
Cost per Gbps
Costperkm2
LTE(Cat.3)
LTE(Cat.4)
CA(Cat6)
CA+MIMO
4x4
TribandCA
TribandCA+
256QAM
TribandCA+
256QAM+
MIMO4x4
Quadriband
CA+MIMO
4x4
5xCA+
MIMO4x4
100 Mbps 150 Mbps
300 Mbps
500 Mbps 450 Mbps
600 Mbps
950 Mbps 950 Mbps
> 1 Gbps
Addoption limmit to 5G (> 1 Gbps)
SMALLCELL FOR HIGH DENSITY TRAFFIC
MMWAVE VS MID BANDS
TECHNOLOGICAL COMBINATION TO GBPS
Source: Mobile Experts 2018
This 0.002 GkM threshold
represents when SmallCells
are more affordable than the
macro network
8. Capacity & Resource Management
BBU
CPRI
OBSAI
ETSI ORI
Data
Control
Sync
RRU/
RRH
BBU N
BBU 2
BBU 1
CRAN
246 Mbps 1200 Mbps 2500 Mbps
9830 Mbps
WCDMA (1
Carrier)
LTE (MIMO 2x2,
10 MHz)
LTE (MIMO 2x2,
20 MHz)
WCDMA + LTE
Combination of huge number of Smallcells with fiber premises for connectivity
will bring an important concern for 5G infrastructure.
CRAN requires a tighter latency requirement for
interefrence control (e-ICIC and CoMP) - In general IP
backhaul transport cannot accomplish this latency level
in X2 interface.
CRAN unfolds complexity of capillarity for access
trasportation;
mmWave has a benefit to provide a very high capacity
but a short range coverage. Thus, multiplying the
number of Smallcells .
9. TCO Optimization & Reduction
● Simplification of IP hierarchies by providing a more "flat" network;
● Integrated planning of IP and Transmission networks;
● Service virtualization, network optimization, and on-demand allocation;
● Time-to-market agility;
● Programmability, service automation and speed of provisioning;
● Reduction of Network Costs (CAPEX and OPEX), with the reduction of the number of routers, spare-
parts, support contract, management license etc.
● Data Plane Control Plane Separation, vendor-independent unified control;
● Reduction of Engineering sites, main sites in the SDN-NFV model, Telco-Datacenters;
● Integration of IP core and TX (OTN + DWDM), full-mesh core (minimize latency and router interfaces),
SDN-WAN multilayer;
Typical Multilayer
Node
● Superchannel DWDM (400G / 1T) in the short and
medium term, single-carriers grouped with more
spectral efficiency.
● Same modulation of 100G, optimizes costs and
covers the same distance (span).
‘’ALL-IP” TO SDN-NFV: MULTI-LAYER INTEGRATION MORE CAPACITY => DATACENTER INTERCONECTION
Arquitetura Alvo
10. Lifecycle Management
Source: Basead on EY 2015
Very Fast Technology Lifecycle
Minimum Deployment or not Deployed YetPartial DeploymentTotal Deployment
Carrier Ethernet 2.0IP-MPLS Ethernet
G.FAST, XG.FASTADSL VDSL, VDSL2
DOCSIS3.1CCAPDOCSIS2.0 DOCSIS 3.0
802,11 ax
Li-FiWi-Fi 802.11ac/adWi-Fi 802.11 a/b/g Wi-Fi 802.11n
LTE-M LTE-U 5GLTE-AUMTS HSPA LTEMobile
Wi-Fi
Cable
Drop Cable
Backbone
2005 2010 2015 2020
XG(S)-PON+, FOASGPON XG-PONPON NG-PON2, TWDM (?)
400 GbE, 200GbE10GbE 40GbE, 100GbEEthernet
EON, HOS, multilayer SDNSDH over WDM OTN DWDM ROADM, ODU SwOptical
ONAP LSOSDN OpenFlow OpenSwitch, Open Daylight ONOSSDN
NFV
eCPRI/NGFIATM, NGSDH, Metro PTNBackhaul &
Fronthaul
CPRI/DWDM
MECHW Dedicado COTSHW NFV
Bonding, Vectoring,
World
11. Lifecycle Management
Optimization of Total Costs:
Voice: 2G => 3G and Data: 3G => 4G bring significant savings in terms of total network costs;
Service balancing should take into account not only the network cost but the best use of an expensive
and scarce resource: spectrum;
Phaseout Management:
Today the mobile network has 3 access technologies (2G / 3G / 4G) that need to be realized:
management, planning, deployment, O & M, etc. multiplying operating costs (OpEx) and investments
(CapEx);
Some operators have already announced the end of either the 2G network or the 3G network aiming not
only to simplify and reduce operating costs, but also to re-use spectrum;
User Experience:
Churn is still the biggest challenge for operators, mainly due to the costs associated with acquiring new
users in a consolidated market.
The negative perception of services due to poor user experience is the main reason for the cancellation
and / or change of service provider.
Asset Management:
Technology evolution takes better advantage of features and brings a general improvement in overall
user experience. It also optimizes long-term investments and spectrum.
Technology and life cycle management is not simple, but it is one of the most important tools for
network strategic planning and even for tactical and operational planning.
New Technology
Device
Penetration
Subsidy
Cost
Network
Total Cost
p1
(Real)
p2
(Otim.)
Network & Device
Costs
c1
c2
Cost
Reduction
Subsidy
2G
3G
4G
= 3X
Tax (TFI/TFF)
O&M
Energy
Colocation
Transmission
Spare parts
Optimization
Complexity...
t t+t- throughput
u(t)
u(t+)
u(t-)
u”(t) <0
Utility=QoE
When to Evolve vs When to Expand (the legacy)
12. Digital Transformation and New Environment Challenges
Strategy
Technology-centric Customer-centric
Telecoms only Adjacent industries
Partner network and walled gardens Open ecosystem
Transaction-based revenues and partnerships Recurring services revenues and partnerships
Source: Based on “How CSPs Buy Technology” - Ovum 2017
Communication Service Providers Digital Service Providers
Technology
Stove-piped architecture and proprietary standards Flexible and adaptive architecture and open standards
Integration strategy defined by network engineers Open ecosystem
Technical product development controlled by CSP
App-driven product and service development through
crowdsourcing
Processes
Waterfall (rigid and linear) processes and decision-making Agile and nonlinear processes and decision-making
Two-year development processes Five-nines specification Two-hour and two-month development processes
Five-nines specification Beta testing with live customers
People
Network performance metrics and MTTR Focus on business impact and CSAT
Accountability but no influence Closed-loop process to address VoC
Customer-focused behavior not incentivized Employees incentivized to improve customer engagement
13. Digital Transformation in Telecommunication Industry
Source: World Economic Forum 2017 : Digital Transformation Initiative Telecommunications Industry
Digital transformation in telecommunications could unlock more than $2 trillion in
value for the industry, consumers and wider society over the next decade.
● Accordingly with WEF 2017, SDN & NFV plays the central
role of Digital Transformation of Operator Network
● These technologies promise several important benefits: SDN
by separating the control and data layers; and NFV by
replacing complex network functions with easy-to-
manipulate virtualized software.
● Widespread adoption of these technologies will be driven
primarily by network cost reduction – 64% of operators
rated this as the main adoption trigger in a recent survey.
● It is estimated that SDN and NFV could generate savings of
25% to 75% of overall operator operating expenditure
thanks to significantly reduced provisioning, monitoring and
hardware costs.
● These technologies also promise to create value for
customers through flexible services, faster times to market
and improved user experiences.
● The ability to view and manipulate network functions on
demand, and at a granular level, will catalyse service
innovation and allow stronger collaborations between
customers and providers.
14. NETWORK FUNCTION VIRTUALIZATION
Architecture Evolution
SDN
applications
SDN
controllers
Network
Resources
Programmatic control
of abstracted network
resources (application-
control interface)
Logically centralized
control of network
resources (resource-
control interface)
Source: ITU-T Y.3300
Acceleration of innovation: Accelerates business
and/or technical innovation through more flexibility of
the network operations, thus making trials easier;
Accelerated adaptation to customer demands:
Dynamic negotiation of network service characteristics
and of dynamic network resource control;
Improved resource availability : Improves network
resource availability and efficiency,
Service-aware networking: Allows network
customization for the network services which have
different requirements, through the programming of
network resource operations, including the dynamic
enforcement of a set of policies.
Hardware Resources
Virtualized Network Functions (VNFs)
Virtualization Layer
VNF ...
NFVManagementand
Orchestration
Compute Storage Network
NFV Infrastructure
Virtual
Compute
Virtual
Storage
Virtual
Network
VNF VNF VNF
CapEx: Reduces equipment costs by consolidation,
leveraging the economies of scale;
OpEx: Reduces power consumption, space and
collocation costs, improved network monitoring.
O&M: Improves operational efficiency by taking
advantage of a homogeneous physical platform
Deployment: Easily, rapidly, dynamically provision
and instantiate new services in various locations (i.e.
no need for new equipment install)
Time to market: Minimizing a typical network
operator cycle of innovation.
Service differentiation: Rapidly prototype and test
new services
Source: ETSI
NFV+SDN => MOBILE NETWORK
SDN can enable, simplify and automate NFV
implementation
Mobile Network Simplification: Common functions
optimized for RAN , EPC and transport .
Traffic Optimization : Network status awareness
allows to optimize traffic by observing e2e congestion
level, system capacity and element capabilities.
Resilience: SDN provides greater visibility at the
network level, regardless of whether the network concept
is Layer 2, Layer 3 or even Layer 4.
Power Management: Power consumption of wireless
network elements can be optimized in real-time.
Spectrum and Interference Management: Opens a
new range of interference mitigation and spectrum
optimization techniques at the network level.
SDN
applications
SDN
controllers
Network
ResourcesHardware Resources
Virtualized Network Functions (VNFs)
Virtualization Layer
VNF ...
NFVManagementand
Orchestration
Compute Storage Network
NFV Infrastructure
Virtual
Compute
Virtual
Storage
Virtual
Network
VNF VNF VNF
SOFTWARE DEFINED NETWORK
Why NFV & SDN?
15. Service Control
Legacy
Services
Adaptation and
Access
Transport:
Backbone,
Backhaul,
Fronthaul
Application
OSSOSS
OSS
OSS
PU
PU
PC
PC
PU
PC
OSS
PU
PC
OSS
PC
OSS
PC
OSS
E2EManagement&Orchestration
Open APIs
Source: NGMN/2015
Bibilioteca das Funções de Redes Modulares
& Habilitadores de Rede
Repositório de Informações Comuns de Rede
CP
Funções
UP
Funções
RAT
Config
State
Info
Operator
Services
Enterprise Vertical
OTT &
3rd. Party
Casos de Uso, Modelos de Neócio e
Proposição de Valor
Dynamic; Scalable; Reusable; Automatic Operation;
Aware and Cognitive; Cloudified, Open and Optimized
TOMORROW: VIRTUALIZED AND CENTRALIZED BASED ARCHITETCURE
Architecture Evolution
Fixed; Unaware; Manual; Monolithic; Vendor and Silo based
TODAY: TOPOLOGY BASED NETWORK ARCHITETCURE
CetralizedandVirtualizedFunctions
16. Architetcture Evolution
E2E SERVICE ORCHESTRATIONCONSOLIDATION AND FEDERALIZATIONEMBRYO FOR TELCO DATACENTERVIRTUALIZED NETWORKS VERTICALLY
• New projects with virtualization support:
what can be virtualized already be
specified;
• Control plan, IMS, Platforms, OSS, etc.
• Elect a project to serve as embryo for the
Telco Datacenter: Orchestration of
virtualized environment, Orchestration of
services; etc;
• VNF solutions characterized and provided
by a network function SLA via VNF
descriptors with a common information
model (Catalog);
OSS
VNF Instancies
VNF1
Virtual
Compute
Virtualization
Layer
Compute HW
Virtualized Compute HW
VNFn
Virtual
Compute
Virtualization
Layer
Compute HW
...
Simplified Evolution Strategy Plan
OSS
NFV Orchestrator of Orchestrators
NFV Orchestrator
VNF Instancies
NFVI
Virtual Resources
Virtualization Layer
HW
VNF1 VNF2 ... VNFn
VNF
Managers
VNF
ManagersVNFM
VNF
Managers
VNF
ManagersVIM
• Consolidate and federalize virtualized
projects;
• Stratify the Telco Datacenter infra: HW,
Hypervisor, Cloud, VNFs;
• Horizontal Scalability. The network
expands and contracts in real time,
• It can reuse or add HW or SW
independently to increase capacity;
OSS
NFV Orchestrator of Orchestrators
NFV Orchestrator
VNF Instancies
NFVI
Virtual Resources
Virtualization Layer
HW
VNF1 VNF2 ... VNFn
VNF
Managers
VNF
ManagersVNFM
VNF
Managers
VNF
ManagersVIM
HW
OSS
NFVO
NFVO
VNF Instancies
NFVI
Virtual Resources
Virtualization Layer
HW
VNF1 VNF2 ... VNFn
VNF
Managers
VNF
ManagersVNFM
VNF
Managers
VNF
ManagersVIM
HW
Network Services
SDN
SDN C 1
• Expand and Migrate Legacy Services;
• End-to-End Orchestration;
• Integrated end-to-end network vision that
enables applications and services to
efficiently utilize network resources,
including datacenter resource
optimization and traffic engineering;
17. Archiecture Evolution
TCO Reduction New Revenue
Performance
Issues
Technology
maturity
Integration &
Transformation
Challenges
Scalability
vCPE 45% ● ○ ● ○ ●
vRAN 9% ○ ● ◒ ● ○
vEPC 46% ● ◒ ● ○ ●
vCDN 31% ◒ ○ ○ ○ ○
vBRAS 30% ◒ ● ◒ ○ ○
vSTB - ◒ ◒ ◒ ◒ ◒
vRAN
vSTB
vBRAS
vOLT
vCDN
vEPC
vCPE
IMS, OSS
Platforms
Migrartion
TransformationComplexity
Souce: SDx Central & Netmanias 2017
What becoming first?
The migration of the network functions will be dependent on an economic analysis, observing the costs and values
practiced;
This analysis should take into account: opportunities to reduce total costs (CapEx and VP OpEx) between expanding the
legacy or migrating to the new virtualized platform; new revenues associated with new infrastructure; scalability;
maturity; technological life cycle; integration / transformation complexities;
19. Virtualization: in the Center vs in the Edge
TOPOLOGY: DISTRIBUTED OR CENTRALIZED FUNCTIONS
SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization Layer
BBU1
...
O&M/Orchestrator
BBU2
BBUn
EPC
Cache
SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization LayerBBU1
...
O&M/Orchestrator
BBU2
BBUn
EPC
IMS
MTAS SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization Layer
BBU1
...
O&M/Orchestrator
BBU2
BBUn
EPC
Cache
Traffic Density Growth
Core&controlfunctions
At Edge
At Center
Some core Entity Functions are naturally centralized,
such as HSS, PCRF, IMS, OCS; but others are preferable
on edge: CRAN, PGW;
Interference Mitigation. Algorithms such as e-ICIC and
CoMP have tighter latency requirement below 10
micro seconds;
Cache implementation needed to be on the edge;
Local breakaout;
MEC – MOBILE EDGE COMPUTING (MULTIPLE ACCESS EDGE COMPUTING)
Defined by ETSI (GS MEC 003) and align with NFV, it brings the cloud closer to the network
edge. It provides services to enhance application with context information to benefit from
running near the edge.
20. Network vs Service vs Customer Centric
CUSTOMER CENTRIC OSSSERVICE CENTRIC OSSNETWORK CENTRIC OSS
Hardware Resources
Virtualized Network Functions
Virtualization Layer
vBBU(CRAN)
Orchestration
(SON,CEMetc.)
NFV Infrastructure
MME
HSS
IMS
vBBU(CRAN)
SGW,PGW
PCRF
OCS,OFCS
...
RRU
Macro Layer
SmallCell Layer
Fronthaul IP
RRURRU
RRU
RRU
HeNB
HeNB
Macro Layer
SmallCell Layer
eNB
HeNB
HeNBEMS
EMS
PCRF
HLR/HSS
OCS/
OFCS
S-GW
P-GW
MMEIMS
EMS
OSS
(X2) Backhaul IP
RRU
Macro Layer
SmallCell Layer
EMS
PCRF
HLR/HSS
OCS/
OFCS
S-GW
P-GW
MMEIMS
EMS
OSS
Fronthaul IP
RRURRU
RRU
BBU
Hotel
SON CEM
South/East Bound Interface
BBU
BBU
...
BBU
Fault Management
Performance Management
Configuration Management
Troubleshooting
Service Quality Management
Service Level Agreement
Quality of Service
Network Analytics
Self Organized Network
E2e Network status awareness and Customer
Experience tools allows to optimize radio access and
core network resources by network and user
perspectives.
Enhanced Analytics: Deeplearning, Predictions
Quality of Experience
Automation
21. What we are doing
Multidisciplinary team composed by over 100 persons from 8 areas what goals is to carry out network evolution
guidelines and recommendations (Plano Técnico de Virtualização) from monolithic physical entities to virtual
entities/ functionalities based on NFV/ SDN solutions, using as a tool the consistent evaluation between: current
network status at Oi (assessment); operating model; world best practices; technological availability and maturity.
• Topology Definition
• Definition of Rules for the Sizing of HW & SW
• Cost Estimation
• CapEx Model and Study
• Asset and Life Cycle Management (HW and SW)
Planning
• Maturity Map
• Definition of Requirements
• Architecture Definition
• Definition of Phases and Roadmap
• Identification and Prioritization of use cases
• Validation tests
• Homologation / Certification
Technology
• Migration Strategy & Path
• Identification of Network Functions and When
• Definition of migration needs: security,
addressing plan,
•
Migration and Evolution
• Definition of the new operation model;
• Definition of management models: FM, PM, CM,
troubleshooting, O & M, OSS / MANO, SW / HW
update etc.
• Definition of KPIs for telco datacenter;
• Definition of resource needs and training for
capacity building;
Operation
• Definition of infrastructure requirements:
Energy, Arcon, static load etc .;
• Definition of rules for telco datacenter location;
• Survey of adequacy costs;
• Roadmap definition
Deployment
• Definition of new areas and competences;
• Definition of new processes;
Governance & Management
1+6 Subgroups
Grupo Técnico de Virtualização (Virtualization Technical Team)
22. What we are doing
Chap 0 – Introduction
Chap 1 - Emergency Actions for 2017
Chap 2 - Technology Guidelines
Chap 3 - Evolution and Migration Guidelines
Chap 4 - Planning 2018-2020
Chap 5 - Deployment Guidelines
Chap 6 - Operation
Chap 7 - Management and Governance Considerations
Chap 8 - Appendixes
Chap 9 - Participants
Contents
Plano de Virtualização (Vitualization Plan) 2018-2020)