Telecom Trends

Sharon Rozov

CTO Team

Nov. 2012

Applications

Devices/

Machines

Cloud Network

Big Data

The New Telecom

Applications

Automotive

(Cognitive Car)

Smart

Energy

Smart City

Healthcare

Industry

Agriculture

Home &Entertainment

Messaging

VideoDelivery

Conferencing

Augmented Reality

Social Networking

Smell over IP

3D Printing

Automating our lives; Streamlining our daily routines

Location services

A bridge between the tangible and virtual worlds

Devices/Machines

The vision: 50 Billion connected devices in 2020

Any tangible device (refrigerator, washing machine, car, etc.) Sensors/Actuators: installed, implanted (animals), wearable (humans) The mobile phone as a hub for sensors

RFID

Devices + Data = Applications

Big Data

Everything we do generates data 2.5 quintillion (2.5*10^18) bytes of data are created daily The amount of data in the world doubles every 18 months Example data generators: social networks, internet search indexes, call

detail records, astronomy, atmosphere, genomics, military surveillance, medical records, photography archives, e-commerce

BIG DATA challenges Volume, Velocity, Variety, and Veracity

Types of data Usage data Volunteered data

Data processing Mining, analytics – find patterns in data Semantics – decode ‘meaning’ of data

The Cloud makes applications global

Cloud

The Cloud enables allocation of compute and storage resources on-demand Follow-me cloud: global access, multi access, multi device The Cloud runs

Applications Data mining/analytics/semantics Network functionality Compute/storage offloaded from end-devices

Centralized Cloud:

- Global Service

- Large capacity, elasticity

- Ultimate utilization of resources

Distributed Cloud / Fog Computing:

- Low-latency applications/content

- Saves networking resources

- Opportunistic computing, based on available capabilities

of devices/CPEs

Cen

tral

izat

ion

Distribution

flexible apportioning

Content Centric Networking

Network

Move the focus from network nodes to: Delivery of content objects Delivery of messages to/from devices (Publish-Subscribe)

The changing relationship between network and services

The network establishes connectivity, applications

running Over The Top

Service-aware traffic steering

network resources as building blocks that can be used to

‘program’ new services

Building a networked society

The Internet of Things (IoT), the Internet of Everything (IoE)

‘Things’ will be seamlessly integrated into the information network ‘Things’ are expected to become active participants in business,

information and social processes Things’ reacting autonomously to ‘real/physical world’ events and

influencing it by triggering actions with or without human intervention

Streamline everyday tasks, processes Automate decision making Tackling life inefficiencies Access to covert information Better recommendation engines

Context: Ownership, Authorization, Location

Logical entities:Persona, Community,

Things

Physical entities:Human,

Machine/Device/Object

Major directions in Telecom Networks

Network evolution towards the ‘New Telecom’

Intelligence is moving to the cloud

Complexity is moving to the edge

Networks are flattening – from hierarchy to mesh architecture

Network architecture convergence

Networks automation, flexibility

Wireless in the frontend, wireline in the backend

Wireless takes it all

In 2016 wired devices will account for 39% of IP traffic, while Wi-Fi for 51% of IP traffic and mobile devices for 10% of IP traffic (source: Cisco VNI, May 2012)

LTE (Long Term Evolution) (3.9G) As of Nov 2012, LTE is deployed in 117 networks in 54 countries, with 323

operator commitments (source: 4G Americas, Nov 2012) More than 40M subscribers today, projection for 1B LTE subscribers by 2017

(source: Informa Telecoms, June 2012) LTE-A (4G) : expected to be commercially available in 2013, with wider

deployments by 2015 WiFi WiFi WiFi (self deployed, operator deployed, managed WiFi) TV White Space – for rural broadband Beyond LTE-A (LTE-B, 5G) – Standardization (3GPP release 12 is underway) Personal Area Networks

ZigBee, Bluetooth

The LTE packet core architecture (EPC) is designed to support both fixed and mobile access networks and become a common converged core

Macro Cell for coverage, Small Cell for capacity

Heterogeneous Networks (Hetnets)

Higher data rates and increased capacity require denser infrastructure

User distribution and traffic density are often non-uniform deploy an heterogeneous network (hetnet): hotspot cells in traffic hotspots

Hetnet complexities: cell density interference management user-deployed cells

handled through automation: Self Organizing Networks (SON)

Content is pushed to the Edge

The popularity of content-rich applications and availability of smart compute-extensive devices, drive content and applications to the edge

Storage/caching pushed into network nodes, as close as possible to end-users; network steering to retrieve content In the future – smart terminals will become part of an

opportunistic cloud trade-offs between storage/computing/communication

Currently for optimization of overloaded networks, performance and QoE guarantee

In the future – optimization of energy consumption

Networks are flattening

Hierarchy is breaking down

Network flattening is achieved through removal of aggregation points

The network is simplified to include two types of connections Access to cloud centers (centralized or distributed) Inter-connectivity between cloud centers

Ultimately the network will become a symmetric mesh Each entity connected to the network (device/machine/cloud)

can be a content client or a content server

Breaking down network’s hierarchical architecture

Mesh Architectures

Cloud Federation Connect between distributed cloud centers to enable access to

content Mesh connectivity between base stations

LTE/LTE-A introduces new spectrum efficiency mechanisms (e.g., COMP) that involve coordination between base stations. This calls for mesh connectivity (over x2 interface) between e-NodeBs

Device to device (D2D) Communication Beyond-LTE standards will probably enable device-to-device

communications Useful in scenarios like content sharing with friends in the close

proximity, cognitive cars exchanging road information

IT-Telecom Convergence

Network Virtualization: the network wanders to the cloud

Network Function Virtualization (NFV) – virtualization of network functions and services Motivation: run network functionality over off-the-shelf standard IT infrastructure leveraging standard IT virtualization technology to consolidate many network

equipment types onto industry standard high volume servers, switches and storage

applicable to any data plane packet processing and control plane function in fixed and mobile network infrastructures

Software Defined Networking (SDN) – separation of Network node Control and Data planes, with an open interface (e.g., OpenFlow) between them Motivation: network programmability - turn network resources into building blocks

that can be used to ‘program’ new services Intelligence is moved to the cloud, network is simplified and can handle capacity

growth and scale Control plane is implemented in software and running in the cloud Network nodes specialize in efficient ‘forwarding’ (data plane), will be

commoditized and become cheaper

The network receives new roles

Content/application aware networking

A ‘connectivity’ network will always be there

The ‘delivery’ network Optimized content delivery per user/application

requests Message Clearing house (Publish Subscribe) Service Orchestration – mashup applications and

data originated in various verticals

Telcos will be reinventing themselves

Telco Operator role

Choose your role! Up the value chain or down the value chain

Connectivity• Bit carrier• Connectivity brokerage services

Delivery• Content delivery, message delivery• Service Enablement

Service• Linking content and information into

something meaningful• Localizing a global service