lte latam 2016 v2.5a
TRANSCRIPT
Challenges and Lessons Learned: Evolution of the Mobile Network Architecture for NFV / SDN
Network Technology Strategy Department Alberto Boaventura 2016-04-06
Rio de Janeiro - Brazil April, 6th 2016
LTE LATAM 2016
Traffic
Reveue Voice Data
Changes ...
Rapid and consistent mobile broadband consolidation,
doubling year over year, will bring a tsunami of data traffic, representing in 2020 1000x of
the traffic in 2010.
Mobile Data Traffic
Dozens of billions of connected devices foreseen by industry
(GSMA, Ovum, MachinaResearch etc.) on
upcoming decade.
Internet of Things
All customer requirements are not equal. It is worthwhile to
discover which attributes of a product or service are more important to the customer.
Negative perception of services is the major reasons for
changing of service provider
Customer Experience
Main broadband dilemma: Traffic and Revenue
decoupling.
It brings a continuous research for cost effective and affordable
solutions.
Flat Revenue
1000x
...Challenges
More Spectrum: Licensed, Shared or Unlicensed;
New Technology;
New Cell Site;
Spectral Efficiency;
Spatial Efficiency;
Interference Control;
Capacity & Resource Management More Capacity; More Elasticity; More Resiliency; More Granularity;
Low latency; Self Organized; Synchronization;
Service and Network State Awareness; Network Slicing;
Architecture Evolution
Multiple technologies and costs;
Service, technology and spectrum balancing;
Device subsidy;
Spectrum refarming;
Lifecycle Management
+
vs
vs ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................ ................
256QAM
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
SERVICE EXPERIENCE TRUST
Secu
rity
Iden
tity
Pri
vacy
Rea
l Tim
e
Seam
less
Per
son
aliz
ed
Inte
ract
ion
&
Ch
argi
ng
Qo
S
Co
nte
xt
“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
5G Potential Technologies
1=0º
1=45º
30
210
60
240
90
270
120
300
150
330
180
...
p1
p2
pN
Native M2M support A massive number of connected devices
with low throughput; Low latency Low power and battery consumption
hnm
h21
h12
h11
Higher MIMO order: 8X8 or more System capacity increases in fucntion of
number of antennas
Spatial-temporal modulation schemes SINR optimization Beamforming
Enables systems that illuminate and at the same time provide broadband wireless data connectivity
Transmitters: Uses off-the-shelf white light emitting diodes (LEDs) used for solid-state lighting (SSL);
Receivers: Off-the-shelf p-intrinsic-n (PIN) photodiodes (PDs) or aval anche photo-diodes (APDs)
C-plane (RRC)
Phantom Celll
Macro Cell
F1 F2
F2>F1
U-plane
D2D
Phantom Cell based architecture Control Plane uses macro network User Plane is Device to Device (D2D) in
another frequency such as mm-Wave and high order modulation (256 QAM).
Net
Radio
Core
Cache
Access Network Caching Network Virtualization Function Cloud-RAN Dynamic and Elastic Network
5G Non-Orthogonal Waveforms for Asynchronous Signalling (5GNOW)
Universal Filtered Multi-Carrier (UFMC) : Potential extension to OFDM ;
Filter Bank Multi Carrier (FBMC): Sustainability fragmented spectra.
Non-Orthogonal Multiple Access (NOMA) Sparse-Code Multiple Access (SCMA) High modulation constellation
MASSIVE MIMO SPATIAL MODULATION COGITIVE RADIO NETWORKS VISIBLE LIGHT COMMUNICATION
DEVICE-CENTRIC ARCHITECTURE NATIVE SUPPORT FOR M2M CLOUD NETWORK & CACHE NEW MODULATION SCHEME
New protocol for shared spectrum rational use
Mitigate and avoid interference by surrounding radio environment and regulate its transmission accordingly.
In interference-free CR networks, CR users are allowed to borrow spectrum resources only when licensed users do not use them.
Why Virtualize?
Why SmallCells?
2013 2014 2015 2016
2017
2018
2019
2020
0,0 Mbps/km2
500,0 Mbps/km2
1000,0 Mbps/km2
1500,0 Mbps/km2
2000,0 Mbps/km2
0,250 km0,350 km0,450 km0,550 km
DOWNTOWN: HIGH DENSITY TRAFFIC
Coverage Radius
Capacity 2015
Capacity 2016
Capacity 2017
A +63%
C
D
+61%
+54%
B
TECHNOLOGY ALTERNATIVES AND TOTAL COST OWNERSHIP
$$$
$$$
$$$
$$$
$$$
$$$
1 x 3 x 5 x 7 x 9 x
2600 MHz (10) +1800 MHz (5) +1800 MHz (10) SmallCell
2015 2016 2017 2018 2019 2020
Legend Notes: 2600 MHz (10) : Basic Scenario; +1800 MHz (5): Additional 5 MHz; +1800 (10): Additional 10 MHz; SmallCell: Using 2600 MHz with 10 MHz
TCO
A B C
Indifference between Macro
1800 & 2600 MHz
Macro LTE 1800 MHz for
coverage
Dual layer Macro LTE 1800
& 2600 MHz
181
265
890
SmallCell 2600 MHz
𝑴𝒃𝒑𝒔
𝒌𝒎𝟐 X
DEMANDS
Source: SmallCells Forum
INDOOR TRAFFIC
39%
32%
14%
4%
11%
In Car
At Home
At Work
Travelling
Others
The indoor traffic density can be thousand times higher than outdoor:
the number of persons per km2 in stadium, can reach 1 Million! If all
persons upload video with 64 kbps, it represents 64 Gbps/km2
Voice Originating Call
INDOOR LOST PERFORMANCE
0 bps/Hz
4 bps/Hz
8 bps/Hz
12 bps/Hz
-130 dBm -110 dBm -90 dBm
3GPP (LTE) Shannon
Outdoor Indoor
Building Penetration Loss varies around 10-20 dB, that reduces
around of 50% overall performance of outdoor macro sites;
RSRP
50% and 80% of
voice and data
traffic
respectively are
performed indoor.
≈-50%
Why Centralizing?
CAPACITY & COVERAGE:
Centralized RAN acts as huge Base Station and can easily coordinate resources for interference avoiding by using functionalities such as CoMP and e-ICIC. CoMP and e-ICIC can together increase the system capacity in 30 times distributed network;
C-RAN is also suitable for non-uniformly distributed traffic due to the load-balancing capability in the BBU pool. Though the serving RRH changes dynamically according to the movement of UEs, the serving BBU is still in the same BBU pool.
50% of voice traffic and 80% of data traffic are performed in indoor environment, and due concentrated traffic , indoor traffic density can represent 10-100 times outdoor environment;
Centralized RAN can be optimal solution and accordingly to Airvana and it is 69% cheaper than DAS;
TRANSMISSION & INFRASTRUCTURE:
Algorithms such as e-ICIC and CoMP have tighter latency requirement below 10 micro seconds. In general IP backhaul transport cannot accomplish this latency level in X2 interface.
Network Synchronization can be simplified by requiring synchronism in less centralized sites
Currently almost LTE Cell Site is attended by fiber and DWDM is affordable solution for transport CPRI inside of lambdas.
Space/Colocation, air conditioning and other site support equipment's power consumption can be largely reduced.
China Mobile estimates a reduction of 71% of power saving comparing to Distributed Cell Site;
ROLLOUT, OPERATION & MAINTENANCE :
Faster system rollout due simpler remote cell site that reduces 1/3 comparing to Distributed RAN.
Multi-Tenant BBUs are aggregated in a few big rooms, it is much easier for centralized management and operation, saving a lot of the O&M cost associated with the large number of BS sites in a traditional RAN network.
TCO :
Accordingly to China Mobile, 15% and 50% of CapEx and OpEx savings respectivelly comparing to Distributed RAN
Core Net.
BBU
TDM
IP
BBU
BBU
Core Net.
Fronthaul
Backhaul IP
BBU
BBU
BBU
eICIC CoMP
Distributed RAN Centralized RAN
Coherent transm. & Non-Coherent transm.
Instantaneous Cell Selection
X2
X2
ABS Protected Subframe
Aggressor Cell Victim Cell X2
Identifies interfered UE
Requests ABS Configure
s ABS ABS Info Measurement Subset Info
Uses ABS and signals Patern
Base Station Virtualization & Cloud RAN Architecture
Fronthaul Interface Hardware
Backplane
Backhaul Interface Hardware
Hardware Poll
Virtualization Layer (Ex.: Hypervisor/VMM)
VM BBU 1 VM BBU N Core
Network
Cache & Local
Breakout ...
O&
M/C
on
tro
l/O
rch
estr
ato
r
Fronthaul: CPRI, OBSAI, ETSI ORI
Internet
RRU/ RRH
Radio Unit
Network Datacenter
Only Radio Unit
Backhaul IP
RRU/ RRH
Backhaul
Core Network
BBU BBU BBU
Internet
RRU/ RRH
RRU/ RRH
GbE
Existing Deployed Topology
Fronthaul
Internet
V-BBUs V-Core
RRU/ RRH
RRU/ RRH
RRU/ RRH
CPRI/ OBSAI
Cloud RAN Topology
DEPLOYMENT PARADIGM CHANGE
PRINCIPLES AND ADVANTAGES
ARCHITECTURE
Network Function Virtualization
Elastic & liquid Resources
Operational Flexibility
Reduces space and power consumption
Reduces CapEx, OpEx and delivery time
Software Defined Network
Creates an abstraction layer for: controlling; faster development ; system service orchestration and overall system evolution;
Open Development Interface
Creates an open environment for new development;
Catalyzes new SON & interference mitigation functionalities support;
Role of SDN & NFV in Mobile Network Evolution
NETWORK FUNCTION VIRTUALIZATION
WHy NFV & SDN?
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 ...
NFV
Ma
na
gem
en
t a
nd
O
rch
est
rati
on
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 Resources Hardware Resources
Virtualized Network Functions (VNFs)
Virtualization Layer
VNF ...
NFV
Man
age
me
nt
and
O
rch
est
rati
on
Compute Storage Network
NFV Infrastructure Virtual
Compute Virtual Storage
Virtual Network
VNF VNF VNF
SOFTWARE DEFINED NETWORK
Base Station Virtualization in Phases
CLOUD RAN HETNET CENTRALIZED RAN MULTI STANDARD RAN
Multi-sector BBU or BBU Hotel
Overall TCO (CapEx+OpEx) saving of New Cell Site
Network elasticity based on resource pooled in a single BBU
Network synchronization simplification
Fronthaul Rollout
Vendor consolidation
MSR and SDR deployment
2G+3G+4G in single BBU
CellSite Modernization
IP Backhauling
Lifecycle Management Optimization
SmallCell Rollout
Capacity improvement by using CoMP, eICIC, CA etc.
Taking advantage of LTE-A & LTE-A PRO (Rel.11, Rel.12 and Rel. 13)
Baseband pooled across BBU
Using General Purpose HW
EPC and Cloud RAN in a same Network Datacenter
Core Net.
2G
3G
4G
2G
3G
4G
2G
3G
4G
TDM
IP
Core Net.
2G +3G+4G
TDM
IP
2G +3G+4G
2G +3G+4G
Core Net.
BBU
TDM
IP
BBU
BBU
Core Net.
BBU
Fronthaul
Backhaul IP
BBU
BBU
Core Net.
BBU
Fronthaul
Backhaul IP
BBU
BBU
Core Net.
Fronthaul
Backhaul IP
BBU
BBU
BBU
Core Net.
Fronthaul
Backhaul IP
BBU
BBU
BBU
Fronthaul
Backhaul IP
SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization Layer
BB
U1
...
O&
M/O
rch
estr
ato
r
BB
U2
BB
Un
EPC
IMS
MTA
S
Mobile Network Evolution
ALL SDN: VIRTUALIZED & OPTIMIZED NFV: VERTICALLY VIRTUALIZED CURRENTLY: MONOLITHIC & DEDICATED HARDWARE
Internet
SGi
MME
HSS
PCRF
IMS
OCS OFCS
Attach
Auth
Mobility
Bearer
Context
Attach
Auth
Policy Policy
Billing
Policy
Billing
Mobility
S/PGW
Policy
Billing
Attach
Mobility
Bearer
Context
Data
IP Backhaul
Macro Radio Access Network
Network Datacenter
Fronthaul
MME
HSS
PCRF
IMS
OCS OFCS
CRAN
S/PGW
Internet
Mobility
Bearer
Context
Attach
Auth
Mobility
Bearer
Context
Attach
Auth
Policy Policy
Billing
Policy
Billing
Mobility
Policy
Billing
Attach
Mobility
Bearer
Context
Data Data
Heterogeneous Radio Access
Network
Network Datacenter
(SBI) Open Flow
Infrastructure Layer
(NBI) Control Layer
SGi
Hardware and Software are monolithic and based on well defined and standardized Network Functions;
All-SDN network can simplify the existing EPC
architecture by eliminating and collapsing common functionalities in specialized Network Functions, such as: MME, S/PGW, IMS, PCRF, HSS etc.
Thus, it can optimize latency accomplishing the 5G requirements via set of hierarchical controllers as opposed to a single centralized controller associated with various control functionalities of the mobile network;
Easy service development by Service Chaining orchestration and application abstraction layer and Open API Interface;
CapEx reduction by using network functions through software virtualization techniques running on commodity hardware;
OpEx reduction due collocation and energy consumption by consolidating networking appliances
Decreasing time to market of a new service by changing the typical innovation cycle of network operators (e.g.,
through software-based service deployment);
PCRF
HLR/HSS
OCS/ OFCS
Internet
S-GW
P-GW
MME
IMS
Ro/Rf
S11 S5
Gx Rx
S6a
Gy/Gz
Sy
Cx/Sh
Evolved Packet Core
S1-U S1-AP
Macro Radio Access Network
SGi
Sp
SON in New SDN/NFV Architecture
SON AS A PART OF SDN/NFV ORCHESTRATION CENTRALIZED SON FUNCTIONALITIES DISTRIBUTED & STANDARD SON FUNCTIONALITIES
Hardware Resources
Virtualized Network Functions
Virtualization Layer
vBB
U (
CR
AN
)
Orc
hes
trat
ion
(S
ON
, CEM
etc
.)
NFV Infrastructure
MM
E
HSS
IMS
vBB
U (
CR
AN
)
SG
W,P
GW
PC
RF
OC
S, O
FCS
...
RRU
Macro Layer
SmallCell Layer
Fronthaul IP
RRU RRU
RRU
RRU
HeNB
HeNB
Macro Layer
SmallCell Layer
eNB
HeNB
HeNB EMS
EMS
PCRF
HLR/HSS OCS/ OFCS
S-GW P-GW
MME IMS
EMS
OSS
(X2) Backhaul IP
RRU
Macro Layer
SmallCell Layer
EMS
PCRF
HLR/HSS OCS/ OFCS
S-GW P-GW
MME IMS
EMS
OSS
Fronthaul IP
RRU RRU
RRU
BBU Hotel
SON CEM South/East Bound Interface
BBU
BBU ...
BBU
Standard distributed SON functionalities:
ANR, MLB, Network Inventory; ICIC etc.
Centralized platform for e2e SON;
New e2e functionalities can be introduced for: Self-Optimization, Self-Planning and Self –Healing etc.
Centralized resource management facilitates the e2e optimization;
E2e Network status awareness and Customer Experience tools allows to optimize radio access and core network resources by network and user perspectives.
5G Architecture (NGMN)
Public & Private IP Network
5G RAT Family
E2E
Man
age
men
t &
Orc
he
stra
tio
n Operator
Services Enterprise Vertical
OTT & 3rd. Party
Use cases, business models, value proposition
Library of Modular Network Functions & Value Enabling Capabilities
Common Information Repository
CP Functions
UP Functions
RAT Config
State Info
Virtualization
Business Enabler APIs
E2E MANAGEMENT AND ORCHESTRATION ENTITY
Is the contact point to translate the use cases and business models into actual network functions and slices.
Defines the network slices for a given application scenario, chains the relevant modular network functions, assigns the relevant performance configurations, and finally maps all of this onto the infrastructure resources.
BUSINESS APPLICATION LAYER
Contains specific applications and services of the operator, enterprise, verticals or third parties that utilize the 5G network.
The end-to-end management and orchestration entity allows, for example, to build dedicated network slices for an application, or to map an application to existing network slices.
BUSINESS ENABLEMENT LAYER
Is a library of all functions required within a converged network in the form of modular architecture building blocks, including functions realized by software modules that can be retrieved from the repository to the desired location, and a set of configuration parameters for certain parts of the network, e.g., radio access.
INFRASTRUCTURE RESOURCE LAYER
Consists of the physical resources of a fixed-mobile converged network, comprising access nodes, cloud nodes (which can be processing or storage resources), 5G devices (in the form of (smart) phones, wearables, CPEs, machine type modules and others), networking nodes and associated links.
NETWORK SLICE
Supports the communication service of a particular connection type with a specific way of handling the C- and U-plane for this service.
Is composed of a collection of 5G network functions and specific RAT settings that are combined together for the specific use case or business model.
Source: NGMN/2015
Concerns & Open Questions
FRONTHAUL AIR INTERFACE AGGREGATION & SLICING
Transmission & Transport
Split for function centralization can happen on each protocol layer or on the interface between each layer.
Currently, LTE implies certain constraints on timing as well as feedback loops between individual protocol layers.
Depending on resource scheduling and coordination requirements will be needed, different schemes of centralized vs distributed protocol stacks can be used;
It can flexibilize the overall fronthaul requirements;
WHAT TO VIRTUALIZE
RF
PHY
MAC
RRM
AC/LC
NM
RF
PHY
MAC
RRM
AC/LC
NM
How much to centralize
Executed at RRH
Centralized Executed
Centralized Executed
SDR Monolithic
Executed at BTS
Middle Range Virtualization
Source: IEEE Communications Magazine
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 (1Carrier)
LTE (MIMO2x2, 10 MHz)
LTE (MIMO2x2, 20 MHz)
WCDMA + LTE
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;
Although there are fronthaul standards, but each vendor implemented its own flavor: OBSAI, CPRI versions;
CPRI/OBSAI requires low latency 5 micro seconds in total, that introduces limitation of 40 km in terms of distance between BBU and RRU;
LTE LTE Wi-Fi
Xw
PHY
MAC
PHY
MAC
RLC
PDCP
RRC
Tunnel (Xw)
LWA: LTE & Wi-Fi Link Aggreation
MOCN: RAN Sharing
PHY
MAC RLC
PDCP
RRC
PDCP
RRC
Op1 Op2
S1 S1
Core Core
Network slicing is not a new concept for SDN, but it brings some challenges for Mobile Network, such as air interface protocols;
Resource aggregation and slicing are required for multi-standard harmonization in 5G;
Already existed in LTE standards, such as Carrier Aggregation; LWA and RAN Sharing ;
Needed an fronthaul adaptation capability, such as: Software Defined Fronthaul;
Concerns & Open Questions
SDN IS NOT ENOUGH INDEPENDENT CERTIFICATION ORGANIZATION
Architecture & Standardization
MYRIAD OF STANDARDS & PROPOSALS
Cell
SD
N
Odin OpenRoad
Op
en
Rad
io
SoftRAN
SoftCell
MobileFlow Op
en
RA
N
So
ftC
OM
ONOS M-CORD
OpenRF
Northbound API
Southbound API
Infrastructure Plane
Control Plane
Application Plane
Rad
io &
Sp
ectr
um
M
anag
emen
t
Mo
bili
ty
Man
agem
ent
Res
ou
rce
M
anag
emen
t
Ro
uti
ng
Po
licy
Man
agem
ent
Controllers for Mobile Edge
Controllers for Mobile Core
SON
Po
licy
SDN Control.
SDWN Control.
SDA Control.
User Plane
SDA
SDWN
SDN
Mobile network has other requirements different from fixed one, such as: mobility;
Broadly used technologies require new extensions, such as: OpenFlow, OpenDaylight;
Several proposals have been introduced since 2009. And each proposals have their own roadmaps;
SDO vs OS: SDO follows a rigid specification mechanism, OS projects are continuously adapted and integrated new code contributions driven by solving current issues;
An industry direction must require for investment optimization and risk minimization;
Hardware Resources
Virtualized Network Functions (VNFs)
Virtualization Layer
VNF ...
NFV
Man
agem
ent
and
O
rch
estr
atio
n
Compute Storage Network
NFV Infrastructure Virtual
Compute Virtual Storage
Virtual Network
VNF VNF VNF
Source: ETSI
Telecom equipment lifecycle management is led by vendor;
It comprehends to make compatible new HW, SW, OS versions for proper product works;
SDN and NFV bring new concern about how to absorb this complexity into operator internal processes: validate and guarantee that multi-environment can work with expected behavior;
For different SW and HW suppliers, an Independent Certification Organization is definitely imperative for overall system compliance.
Concerns & Open Questions
TOPOLOGY: DISTRIBUTED OR CENTRALIZED FUNCTIONS SECURITY
Real-time processing algorithm implementation for virtualization of the baseband processing pool;
Exploitation of virtualized resources on commodity hardware, which does not provide the same real-time characteristics as currently deployed hardware.
Additional computational latency and jitter, which needs to be considered in the protocol design.
It is an opportunity for new algorithms exploiting a large amount of resources efficiently (e.g., through stronger parallelization) or new Hardware Architecture (such as Intel DPDK).
Source: Intel
Network Packet Size Server
Packet Size
PERFORMANCE
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;
SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization Layer
BB
U1
...
O&
M/O
rch
est
rato
r
BB
U2
BB
Un
EPC
Cac
he
Hardware Resources
Virtualized Network Functions (VNFs)
Virtualization Layer
NFV
Man
age
men
t an
d O
rch
estr
atio
n
NFV Infrastructure
Malware Remote Access
VNF Specific
Malware DDOs
Remote Access
Single point of failure in SDN architecture: SDN Controllers;
Infrastructure exposure due open access to APIs for SDN service development and integration;
In SDN the services are self and remotely provisioned (vs operator network environment);
NFV/SDN
Telco operators become open to IT treats and vulnerabilities in VNFs, OS, Hipervisiors etc.
Maware can run in VNFs, OS, Hipervisors;
Easy BackDoor implementation;
Other Issues
SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization Layer
BB
U1
...
O&
M/O
rch
est
rato
r
BB
U2
BB
Un
EPC
IMS
MTA
S
SBI/Fronthaul
NBI/Internet
Hardware Poll
Virtualization Layer
BB
U1
...
O&
M/O
rch
est
rato
r
BB
U2
BB
Un
EPC
Cac
he
Traffic Density Growth
Co
re &
co
ntr
ol f
un
ctio
ns
At Edge
At Center
2012 2013 2014 2015 2016 2017 2018 2019 2020 2020+
Release 16 & 5G Enh
Release 15 & 5G SI/WI
Evaluation & Specification
Proposal Submission
Tech. Requirements & Eval. Methodology
Vision, Technology & Spectrum
5G Timeframe
ITU-R´s docs paving way to 5G:
IMT.VISION (Deadline July 2015) - Title: “Framework and overall objectives of the future development of IMT for 2020 and beyond”
Objective: Defining the framework and overall objectives of IMT for 2020 and beyond to drive the future developments for IMT
IMT.FUTURE TECHNOLOGY TRENDS (Deadline Oct. 2014)
To provide a view of future IMT technology aspects 2015-2020 and beyond and to provide information on trends of future IMT technology aspects
EU (Nov 2012)
China (Fev2013)
Korea (Jun 2013)
Japão (Out 2013)
2020 and Beyond Adhoc
WRC15 WRC12 WRC19
Trials and Commercialization Standardization Activities Pre-standardization Exploratory Research
First Release White Paper
Requirements & Tech. feasibility
Trial of basic functionality Tests IoT and deployment
Release 14 & 5G SI Release 10-13
Alberto Boaventura [email protected]
¡Gracias! Thanks! Obrigado! Q&A