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The Self-Organizing Networks (SON) Ecosystem: 2014 - 2020 - Product Image

The Self-Organizing Networks (SON) Ecosystem: 2014 - 2020

  • Published: March 2014
  • 186 Pages
  • Signals and Systems Telecom
Self-Organizing Network (SON) spending to reach $3 billion by 2016

FEATURED COMPANIES

  • 21 Vianet Group
  • BSNL
  • Etex Telephone Co-op
  • MobileAccess
  • Redline Communications
  • Texas Energy Network
  • MORE

Self-Organizing Network (SON) technology minimizes the lifecycle cost of running a wireless carrier network by eliminating manual configuration of equipment at the time of deployment, right through to dynamically optimizing performance and troubleshooting during operation. This can significantly reduce the cost of the carrier’s services, improving the OpEx to revenue ratio.

Amid growing demands for mobile broadband connectivity, wireless carriers are keen to capitalize on SON to minimize rollout delays and operational expenditures associated with their ongoing LTE and small cell deployments.

Originally targeted for the Radio Access Network (RAN) segment of wireless carrier networks, SON technology is now also utilized in the mobile core and mobile backhaul segments. Furthermore, the SON ecosystem is increasingly witnessing convergence with other technological innovations such as Big Data analytics and Deep Packet Inspection (DPI).

Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue READ MORE >

1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Historical Revenue & Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned

2 Chapter 2: SON & Mobile Network Optimization Ecosystem
2.1 Conventional Mobile Network Optimization
2.1.1 Network Planning
2.1.2 Measurement Collection: Drive Tests, Probes and End User Data
2.1.3 Post-Processing, Optimization & Policy Enforcement
2.2 The Self-Organizing Network (SON) Concept
2.2.1 What is SON?
2.2.2 The Need for SON
2.3 Functional Areas of SON
2.3.1 Self-Configuration
2.3.2 Self-Optimization
2.3.3 Self-Healing
2.4 Market Drivers for SON Adoption
2.4.1 Continued Wireless Network Infrastructure Investments
2.4.2 Optimization in Multi-RAN & HetNet Environments
2.4.3 OpEx & CapEx Reduction: The Cost Saving Potential
2.4.4 Improving Subscriber Experience and Churn Reduction
2.4.5 Power Savings
2.4.6 Enabling Small Cell Deployments
2.4.7 Traffic Management
2.5 Market Barriers for SON Adoption
2.5.1 Complexity of Implementation
2.5.2 Reorganization & Changes to Standard Engineering Procedures
2.5.3 Lack of Trust in Automation
2.5.4 Lack of Operator Control: Proprietary SON Algorithms
2.5.5 Coordination between Distributed and Centralized SON
2.5.6 Network Security Concerns: New Interfaces and Lack of Monitoring

3 Chapter 3: SON Technology, Use Cases & Implementation Architectures
3.1 Where Does SON Sit Within a Mobile Network?
3.1.1 RAN
3.1.2 Mobile Core
3.1.3 Mobile Backhaul
3.1.4 Device-Assisted SON
3.2 SON Architecture
3.2.1 C-SON (Centralized SON)
3.2.2 D-SON (Distributed SON)
3.2.3 H-SON (Hybrid SON)
3.3 SON Use-Cases
3.3.1 Self-Configuration of Network Elements
3.3.2 Automatic Connectivity Management
3.3.3 Self-Testing of Network Elements
3.3.4 Self-Recovery of Network Elements/Software
3.3.5 Self-Healing of Board Faults
3.3.6 Automatic Inventory
3.3.7 ANR (Automatic Neighbor Relations)
3.3.8 PCI (Physical Cell ID) Configuration
3.3.9 CCO (Coverage & Capacity Optimization)
3.3.10 MRO (Mobility Robustness Optimization)
3.3.11 MLB (Mobile Load Balancing)
3.3.12 RACH (Random Access Channel) Optimization
3.3.13 ICIC (Inter-Cell Interference Coordination)
3.3.14 eICIC (Enhanced ICIC)
3.3.15 Energy Savings
3.3.16 Cell Outage Detection & Compensation
3.3.17 Self-Configuration & Optimization of Small Cells
3.3.18 Optimization of DAS (Distributed Antenna Systems)
3.3.19 RAN Aware Traffic Shaping
3.3.20 Traffic Steering in HetNets
3.3.21 Optimization of Virtualized Network Resources
3.3.22 Auto-Provisioning of Backhaul Links
3.3.23 Backhaul Bandwidth Optimization
3.3.24 Backhaul Interference Management
3.3.25 SON Coordination Management
3.3.26 Seamless Vendor Infrastructure Swap

4 Chapter 4: SON Standardization
4.1 NGNM (Next Generation Mobile Networks) Alliance
4.1.1 Conception of the SON Initiative
4.1.2 Functional Areas and Requirements
4.1.3 Implementation Approach
4.1.4 P-SmallCell (Project Small Cell)
4.1.5 Recommendations for Multi-Vendor SON Deployment
4.2 3GPP (Third Generation Partnership Project)
4.2.1 Release 8
4.2.2 Release 9
4.2.3 Release 10
4.2.4 Release 11
4.2.5 Release 12, 13 & Beyond
4.2.6 Implementation Approach

5 Chapter 5: SON Deployment Case Studies
5.1 AT&T Mobility
5.1.1 Vendor Selection & Contract Value
5.1.2 Implemented Use Cases
5.1.3 Results
5.2 SingTel
5.2.1 Vendor Selection & Contract Value
5.2.2 Implemented Use Cases
5.2.3 Results
5.3 TIM Brasil
5.3.1 Vendor Selection & Contract Value
5.3.2 Implemented Use Cases
5.3.3 Results
5.4 KDDI
5.4.1 Vendor Selection & Contract Value
5.4.2 Implemented Use Cases
5.4.3 Results

6 Chapter 6: Industry Roadmap & Value Chain
6.1 Industry Roadmap
6.1.1 Initial LTE FDD Rollouts with D-SON: 2010 - 2011
6.1.2 Rise of the HetNets & C-SON: 2012 - 2013
6.1.3 TD-LTE Deployments & Continued SON Proliferation: 2014 - 2016
6.1.4 “Software Centric” Networking & QoE/QoS Based SON: 2017 - 2019
6.1.5 Start of the 5G Era: 2020 & Beyond
6.2 Value Chain
6.3 Embedded Technology Ecosystem
6.3.1 Chipset Developers
6.3.2 Embedded Component/Software Providers
6.4 RAN Ecosystem
6.4.1 Macrocell RAN OEMs
6.4.2 ‘Pure-Play’ and Specialist Small Cell OEMs
6.4.3 WiFi Access Point OEMs
6.4.4 DAS & Repeater Solution Providers
6.4.5 Cloud RAN Solution Providers
6.4.6 Other Technology & Network Component Providers/Enablers
6.5 Mobile Backhaul Ecosystem
6.5.1 Backhaul Solution Providers
6.6 Mobile Core Ecosystem
6.6.1 Core Network Infrastructure & Software Providers
6.7 Connectivity Ecosystem
6.7.1 2G, 3G & 4G Wireless Carriers
6.7.2 WiFi Connectivity Providers
6.7.3 Small Cells as a Service (SCaaS) Providers
6.8 SON & Mobile Network Optimization Ecosystem
6.8.1 SON Solution Providers
6.8.2 Mobile Network Optimization Solution Providers
6.9 SDN & NFV Ecosystem
6.9.1 SDN & NFV Providers

7 Chapter 7: Vendor Landscape
7.1 Accedian Networks
7.2 Accuver
7.3 AIRCOM International (Acquired by TEOCO)
7.4 AirHop Communications
7.5 Airspan Networks
7.6 Alcatel-Lucent
7.7 Amdocs
7.8 Arcadyan
7.9 Argela
7.10 Aricent
7.11 ARItel
7.12 Ascom
7.13 Astellia
7.14 ATDI
7.15 Avvasi
7.16 Broadcom
7.17 BLiNQ Networks
7.18 Cavium
7.19 CBNL (Cambridge Broadband Networks Limited)
7.20 Cellwize
7.21 Celtro
7.22 CENTRI
7.23 Cisco Systems
7.24 Citrix
7.25 Comarch
7.26 Commsquare
7.27 DTM (Datang Mobile)
7.28 ECE (European Communications Engineering)
7.29 Eden Rock Communications
7.30 Ericsson
7.31 Forsk
7.32 Freescale Semiconductor
7.33 Fujitsu
7.34 Guavus
7.35 Hitachi
7.36 Huawei
7.37 Intel
7.38 InterDigital
7.39 InfoVista
7.40 JDSU
7.41 Lemko
7.42 Lavastorm
7.43 mimoOn
7.44 NEC
7.45 NSN (Nokia Solutions & Networks)
7.46 Optulink
7.47 P.I.Works
7.48 Plano Engineering
7.49 Qualcomm
7.50 Radisys
7.51 RADCOM
7.52 Reverb Networks
7.53 Rohde & Schwarz
7.54 Rorotika
7.55 Samsung
7.56 SEDICOM
7.57 Siklu
7.58 SpiderCloud Wireless
7.59 Tarana Wireless
7.60 Tektronix Communications
7.61 Tellabs
7.62 TEOCO
7.63 Texas Instruments
7.64 Theta Networks
7.65 TTG International
7.66 Tulinx
7.67 WebRadar
7.68 Xceed Technologies
7.69 ZTE

8 Chapter 8: Market Analysis & Forecasts
8.1 SON & Mobile Network Optimization Revenue
8.2 SON Revenue
8.3 SON Revenue by Submarket
8.3.1 SON in Macrocell RAN
8.3.2 SON in HetNet/Small Cell RAN
8.3.3 SON in Mobile Core
8.3.4 SON in Mobile Backhaul
8.4 SON Revenue by Architecture: Centralized vs. Distributed
8.4.1 C-SON
8.4.2 D-SON
8.5 SON Revenue by Wireless Network Generation: 2G/3G vs. 4G
8.5.1 2G/3G SON
8.5.2 4G SON
8.6 SON Revenue by Region
8.7 Conventional Mobile Network Planning & Optimization Revenue
8.8 Conventional Mobile Network Planning & Optimization Revenue by Region
8.9 Asia Pacific
8.9.1 SON
8.9.2 Conventional Mobile Network Planning & Optimization
8.10 Eastern Europe
8.10.1 SON
8.10.2 Conventional Mobile Network Planning & Optimization
8.11 Latin & Central America
8.11.1 SON
8.11.2 Conventional Mobile Network Planning & Optimization
8.12 Middle East & Africa
8.12.1 SON
8.12.2 Conventional Mobile Network Planning & Optimization
8.13 North America
8.13.1 SON
8.13.2 Conventional Mobile Network Planning & Optimization
8.14 Western Europe
8.14.1 SON
8.14.2 Conventional Mobile Network Planning & Optimization

9 Chapter 9: Conclusion & Strategic Recommendations
9.1 Moving Towards QoE Based SON Platforms
9.2 Capitalizing on DPI (Deep Packet Inspection)
9.3 The Convergence of Big Data Analytics & SON
9.4 SON for NFV & SDN: The Push from Wireless Carriers
9.5 Moving Towards Mobile Core and Backhaul
9.6 Assessing the Impact of SON on Optimization & Field Engineers
9.7 SON Associated OpEx Savings: The Numbers
9.8 What SON Capabilities Will 5G Networks Entail?
9.9 The C-SON Versus D-SON Debate
9.10 Strategic Recommendations
9.10.1 SON & Conventional Mobile Network Optimization Solution Providers
9.10.2 Wireless Infrastructure OEMs
9.10.3 Wireless Carriers



List of Figures

Figure 1: Functional Areas of SON with the Mobile Network Lifecycle

Figure 2: Annual Global Throughput of Mobile Network Data Traffic by Region: 2010 – 2020 (Exabytes)

Figure 3: Global Wireless Network Infrastructure Revenue by Submarket: 2010 – 2020 ($ Million)

Figure 4: Global Mobile Network Data Traffic Distribution by Access Network Form Factor: 2010 – 2020 (%)

Figure 5: SON Associated OpEx & CapEx Savings by Network Segment

Figure 6: Potential Areas of SON Implementation

Figure 7: Mobile Backhaul Segmentation by Technology

Figure 8: C-SON (Centralized SON) in a Wireless Carrier Network

Figure 9: D-SON (Distributed SON) in a Wireless Carrier Network

Figure 10: H-SON (Hybrid SON) in a Wireless Carrier Network

Figure 11: NGNM SON Use Cases

Figure 12: The Wireless Network Infrastructure Industry Roadmap: 2014 - 2020

Figure 13: The Wireless Network Infrastructure Value Chain

Figure 14: Embedded Technology Ecosystem Players

Figure 15: Macrocell RAN Ecosystem Players

Figure 16: Specialist Small Cell RAN Ecosystem Players

Figure 17: Carrier WiFi Ecosystem Players

Figure 18: DAS & Repeater Ecosystem Players

Figure 19: Cloud RAN Ecosystem Players

Figure 20: Mobile Backhaul Ecosystem Players

Figure 21: Mobile Core Ecosystem Players

Figure 22: List of LTE Trials & Deployments

Figure 23: SON & Mobile Network Optimization Ecosystem Players

Figure 24: SDN & NFV Ecosystem Players

Figure 25: Global SON & Mobile Network Optimization Revenue: 2010 - 2020 ($ Million)

Figure 26: Global SON Revenue: 2010 - 2020 ($ Million)

Figure 27: Global SON Revenue by Submarket: 2010 - 2020 ($ Million)

Figure 28: Global Macrocell RAN SON Revenue: 2010 - 2020 ($ Million)

Figure 29: Global Small Cell RAN SON Revenue: 2010 - 2020 ($ Million)

Figure 30: Global Mobile Core SON Revenue: 2010 - 2020 ($ Million)

Figure 31: Global Mobile Backhaul SON Revenue: 2010 - 2020 ($ Million)

Figure 32: Global SON Revenue by Architecture: 2010 - 2020 ($ Million)

Figure 33: Global C-SON Revenue: 2010 - 2020 ($ Million)

Figure 34: Global D-SON Revenue: 2010 - 2020 ($ Million)

Figure 35: Global SON Revenue by Wireless Network Generation: 2010 - 2020 ($ Million)

Figure 36: Global 2G/3G SON Revenue: 2010 - 2020 ($ Million)

Figure 37: Global 4G SON Revenue: 2010 - 2020 ($ Million)

Figure 38: SON Revenue by Region: 2010 - 2020 ($ Million)

Figure 39: Global Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 40: Conventional Mobile Network Planning & Optimization Revenue by Region: 2010 - 2020 ($ Million)

Figure 41: Asia Pacific SON Revenue: 2010 - 2020 ($ Million)

Figure 42: Asia Pacific Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 43: Eastern Europe SON Revenue: 2010 - 2020 ($ Million)

Figure 44: Eastern Europe Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 45: Latin & Central America SON Revenue: 2010 - 2020 ($ Million)

Figure 46: Latin & Central America Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 47: Middle East & Africa SON Revenue: 2010 - 2020 ($ Million)

Figure 48: Middle East & Africa Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 49: North America SON Revenue: 2010 - 2020 ($ Million)

Figure 50: North America Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 51: Western Europe SON Revenue: 2010 - 2020 ($ Million)

Figure 52: Western Europe Conventional Mobile Network Planning & Optimization Revenue: 2010 - 2020 ($ Million)

Figure 53: SON Associated OpEx Savings by Region: 2010 - 2020 ($ Million)

Key Findings of the Report

- Despite challenges relating to implementation complexities and multi-vendor interoperability, SON revenue is expected to grow to more than $3 Billion by the end of 2016, exceeding conventional mobile network optimization revenue by over 20%.

- Driven by large scale TD-LTE rollouts and ongoing SON deployments, the Asia Pacific region will account for nearly 40% of the global mobile network optimization market by 2016.

- It is estimated that SON can enable wireless carriers to save up to 35% of their electrical power consumption by dynamically by activating and deactivating RAN nodes in line with the changing traffic and user distribution profile.

- A Tier 1 wireless carrier is estimated to save as much as 32% of its overall OpEx by employing SON across the RAN, mobile core and mobile backhaul segments of the network.

- Wireless carriers have reported up to a 40% reduction in dropped calls and over 20% higher data rates with SON implementation.

- Infrastructure and software incumbents are aggressively eyeing on acquisitions of smaller established C-SON players to accelerate their early entry path into the C-SON market.

- 21 Vianet Group
- 2K Telecom
- 3 Austria
- 3 Denmark
- 3 HK
- 3 Ireland
- 3 Italia
- 3 Sweden
- 365 Media
- 3Roam
- 4G Americas
- 4ipnet
- 6WIND
- A1 Telekom
- Ablaze
- Accedian
- Accedian Networks
- Accelleran
- Accuver
- Actelis
- Actix
- Adams NetWorks
- ADLINK
- ADTRAN
- ADVA
- Advantech
- Aero2
- Aerohive
- Aeronet
- Aexio
- Aircel
- Aircell
- AIRCOM International
- AirHop Communications
- Airspan Networks
- Airtel Nigeria
- Airvana
- AIS/DPC Thailand
- Al Madar
- Alaska Communications
- Albis Technologies
- Alcatel-Lucent
- Alfa
- Algar Telecom (CTBC)
- Algerie Telecom
- Alpha Networks
- Altel
- Altera
- Alvarion
- Amdocs
- Andorra Telecom
- Andrew
- Antares Group
- Antel
- Anvaya Networks
- Aptilo
- Aqiva Wireless
- Aquafon
- Arcadyan
- Argela
- ARIB (Association of Radio Industries and Businesses, Japan)
- Aricent
- Arieso
- ARItel
- Armentel
- Aruba Networks
- Ascom
- Asiaspace
- Askey
- ASOCS
- Astellia
- AT&T Mobility
- ATDI
- Athena Wireless Communications
- ATIS (Alliance for Telecommunications Industry Solutions, U.S.)
- Atrica
- Avanti
- Avea
- Aviat Networks
- Avvasi
- Axell Wireless
- Axerra Networks
- Axis Teknologies
- Azercell
- Azerfon
- b-lite
- Babilon Mobile
- Bakcell
- Bakrie Telecom
- Batelco
- Bayan Telecommunications
- BayRICS
- Beeline
- Beeline Lao
- BelCel
- Belgacom / Proximus
- Bell Mobility
- BendBroadband
- BeST (Life)
- BH Telecom
- Bharti Airtel
- Bhutan Telecom
- Big Switch Networks
- BigAir
- BLiNQ Networks
- Bluegrass Cellular
- Blueline
- BluWan
- Bollore Telecom
- Bouygues Telecom
- Brazil Army
- Brazil Sao Paulo Military Police
- BridgeWave Communications
- Broadcom
- Brocade
- Browan
- BSNL
- BT
- BTC
- BTI Systems
- BTI Wireless
- BTL
- BUCD
- Bulgaria Vivacom
- Bytemobile
- C Spire Wireless
- C&S
- Cable and Wireless
- Cambium Networks
- Canoga Perkins
- Carolina West Wireless
- Carrier Access Corporation
- Cavium
- CBL Bahamas
- CBNL (Cambridge Broadband Networks Limited)
- CCI (Communication Components Inc.)
- CCS
- CCSA (China Communications Standards Association, China)
- CDMA Development Group
- Ceclcom Axiata
- CeedTec
- Celcite
- Cell C
- Cellcom
- CellO
- Cellvine
- Cellwize
- Celtro
- CENTRI
- CenturyLink
- Ceragon
- Chariton Valley Comms
- Charles Industries
- Chat Mobility
- China Mobile
- China Mobile Hong Kong
- China Telecom
- China Unicom
- CHT
- Cielo
- Ciena
- Cisco Systems
- Citrix
- City of Charlotte Council
- Claro
- Clear Mobitel
- CNT
- COAI (Cellular Operators Association of India)
- Cobham
- Coherent Logix
- Colorado Valley
- Comarch
- Comba Telecom
- Commnet Wireless
- CommScope
- Commsquare
- Contela
- ConteXtream
- Continuous Computing
- Convergence Technologies
- Copper Valley Telecom
- Corning
- Cosmote
- COTA Murcia4G
- Cross Telephone
- Crown Castle
- CSI
- CSL Limited
- Custer Telephone
- Cyan
- Cyan
- Datame
- DBD
- Dedicado
- DeltaNode
- Deutsche Telekom
- Dhiraagu
- Dialog Axiata LTE TDD later FDD
- Dialogic
- DiGi
- Digicel
- Digicel Fiji
- Digitel
- Digitel Jamaica
- Dish Network
- D-Link
- DNA
- DoCoMo Pacific
- DragonWave
- DTAC – TriNet
- DTM (Datang Mobile)
- Du
- E Plus
- eAccess
- Eastlink
- E-Band Communications
- ECE (European Communications Engineering)
- ECI Telecom
- Econet Wireless
- Eden Rock Communications
- Edgewater
- EE
- EION
- Elisa
- EMT
- Emtel
- EnergyAustralia Ausgrid
- EnGenius
- Entel Movil
- Entel PCS
- Entel Peru
- Enterasys
- ERA/T-Mobile Poland
- Ericsson
- ETC
- Etex Telephone Co-op
- EtherReach
- Ethertronics
- Ethio Telecom
- Ethos
- Etisalat
- Etisalat Misr
- ETRI (Electronics and Telecommunications Research Institute)
- ETSI (European Telecommunications Standards Institute)
- Evolve Broadband
- Exalt
- ExteNet Systems
- Extreme Networks
- FarEasTone
- FastBack Networks
- Fastlink (Regional Telecom)
- Femtel
- FibroLAN
- Firetide
- Fitel
- Fjarskipti (Vodafone Iceland)
- Forsk
- Fortinet
- FPT Telecom
- Freescale Semiconductor
- Fujitsu
- Gemtek
- Genband
- Georgia Magticom
- Glo Mobile
- Globacom
- Global Mobile
- Globe
- GoNet Systems
- Goodman Networks
- Gore
- GrenTech
- GSA
- GSMA (GSM Association)
- Guavus
- Guineanet
- GWT (Global Wireless Technologies)
- Handlink
- Hatteras
- Hitachi
- HP
- Huahuan
- Huawei
- Hutchison 3
- IBW International
- ICE
- iConnect
- IDC Moldova
- iDirect
- IEEE (Institute of Electrical and Electronics Engineers)
- IM2
- Imagine Group
- IMS Forum
- InfoCommunication Union
- InfoVista
- Ingenia Telecom
- InnerWireless (Acquired by Black Box)
- Intel
- InterDigital
- Intracom
- Intucell Systems
- Inwi
- Iowa Statewide Interoperable Communications Board (ISICSB)
- ip.access
- IPITEK
- IPV6 Forum
- Islandcom
- IT&E Guam
- JDSU
- Juni
- Juniper Networks
- Kcell
- KDDI
- Kentrox
- Kordia
- KPN
- KPN Base
- KPU (Alaska)
- KT
- KT Corp Rwanda
- Lanka Bell
- Lantiq
- Lattelecom
- Lavastorm
- Leap Wireless/Cricket
- Lemko
- LG U+
- LightPoint Communications
- Lightsquared
- LIME
- Linkem
- LMT
- LSI
- LTC
- M/A-COM Technology Solutions
- M1
- Manx Telecom
- Mascom Wireless
- Massnet
- MAX Telecom
- Maxim Integrated
- Maxis
- MaxyTel
- Megafon
- Menatelecom
- Mentum
- Meru Networks
- Mesaplexx
- Meteor
- Microwave Networks
- Mid-Rivers Communications
- Milmex
- mimoOn
- Mindspeed Technologies
- MiSpot
- Mobile Norway/Tele2
- MobileAccess
- Mobily
- Mobinil
- Mobistar
- Mobitel
- Moldcell
- Monaco Telecom
- Mongolia Telecom
- Mosaic Telecom
- Motorola Solutions
- Movicel
- Movilmax
- Movilnet
- Movistar
- MRV Communications
- MTA
- MTC
- MTC Touch
- M-Tel
- MTN
- MTN Uganda
- MTNL
- MTPCS
- MTS
- MTS Allstream
- MTS Belarus
- MTS Ukraine
- Myanmar P & T
- Nawras
- NBN Co.
- Ncell
- NEC
- Neo-Sky
- Neotel
- Nepal Telecom
- NetGear
- NetLogic Microsystems
- Netronome
- Newfield Wireless
- NewNet
- Nexius
- NGMN (Next Generation Mobile Networks)
- NITA
- Node-H
- Nomadix
- Nomor Research
- Nortel Networks
- NorthwestCell
- Nova
- NSN (Nokia Solutions & Networks)
- nTelos
- nTelos Wireless
- NTT DoCoMo
- Nuage Networks (Alcatel-Lucent)
- O2 Secure Wireless
- Octasic
- Oi
- Omantel
- Omnitel
- On Telecomunicacoes
- ONE
- Ooredoo
- Open Mobile
- Optimi
- Optimus
- Optiway
- Optulink
- Optus
- Orange Armenia
- Orange Austria
- Orange Dominicana
- Orange France
- Orange Liechtenstein
- Orange Luxembourg
- Orange Mauritius
- Orange Moldova
- Orange Romania
- Orange Slovak Republic
- Orange Spain
- Orange Switzerland
- Orange Uganda
- Orckit Corrigent
- Osnova Telecom
- Overture
- P&T
- P.I.Works
- P1 Networks
- P4 (Play)
- Pandetel
- Panhandle Telephone Co-op
- PCCW
- Peoples Telephone Co-op
- Personal
- PicoChip
- Pioneer Cellular
- Plano Engineering
- Plexxi
- Polkomtel Plus
- Positron-Aktino
- Powerwave Technologies
- Proxim
- PTK Centertel (Orange)
- Public Service Wireless
- Public Wireless
- PureWave Networks
- PVT
- Qualcomm
- Quortus
- R (Spain)
- RAD Data Systems
- RADCOM
- Radisys
- RADWIN
- Rakon
- RCS & RDS
- Redline Communications
- REDtone
- Reliance
- Reverb Networks
- RF Window
- RFNet
- RFS (Radio Frequency Systems)
- Rogers Wireless
- Rohde & Schwarz
- Rorotika
- Rostelecom
- Ro-Timak Technology
- Ruckus Wireless
- RusViet Telecom
- S and R Communications
- S&T Telephone Cooperative
- Safaricom
- Sagebrush Cellular (Nemont)
- Sagem
- Sagemcom
- SAI Technology
- Saima Telecom
- Samsung
- Sasktel
- Sazz
- Schema
- SEDICOM
- SerComm
- SFR
- SGRITA
- Shentel
- Shyam Networks
- Si.mobil
- SIAE Microelectronics
- Siklu
- Siminn
- SingTel
- SK Telecom
- SK Telesys
- Sky Brazil
- Small Cell Forum
- Smart Communications
- Smartone
- SMARTS
- Smile
- Smoltelecom
- Softbank
- Softbank Mobile
- SOLiD Technologies
- Spectranet
- SpeedConnect
- SpiderCloud Wireless
- Sprint
- Sprint Nextel
- Sprocket Wireless
- SRT Communications
- SSTL
- Star Microwave
- Starcomms
- StarHub
- STC
- Strata Networks
- Strix Systems
- Sub10 Systems
- Sunrise Communications
- Surfline Communications
- SWIFT Networks
- Swisscom
- Sycamore
- Symena
- Syringa Wireless
- T Mobile
- Tango
- Tango Networks
- Taqua
- Tarana Wireless
- Tata Elxsi
- TCCA (TETRA and Critical Communications Association)
- TDC
- TD-Forum
- TDIA (TD Industry Alliance)
- TE Connectivity (Tyco Electronics Connectivity)
- Tecom
- TEKTELIC
- Tektronix Communications
- Telcel
- Telco Systems
- Tele2
- Tele2 Kazakhstan
- Tele2 Sweden
- Telecom Italia Mobile (TIM)
- Telecom Malaysia
- Telecom New Zealand
- Telefonica Movistar
- Telefonica O2
- Telefonica O2 Ireland
- Telefonica O2 UK
- Telefonica Peru
- Telefonica Spain
- Telekom Srpske
- Telenet Belgium
- Telenor Denmark
- Telenor Hungary
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- Telesis
- TeliaSonera
- TeliaSonera Norway
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- Telkom Mobile (8ta)
- Telkomsel Indonesia
- Tellabs
- Telrad
- Telstra
- Telus
- TEOCO
- Teradata
- Texas Energy Network
- Texas Instruments
- TFL
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- Thumb Cellular
- Tigo
- Tikona
- TIM Brasil
- TM Forum (TeleManagement Forum)
- TMC
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- T-Mobile Czech Republic
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- TN Mobile
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- True Move
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- TTG International
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- Turkcell
- U Mobile
- UbeeAirWalk
- Ubidyne GmBH
- Ubiquisys
- Ubiquiti Networks
- u-blox
- UCell
- UK Broadband
- Ulusnet
- Umniah
- UMTS Forum
- Une-EPM
- United Wireless
- Unitel
- US Cellular
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- VDC (VNPT)
- Vector
- Velatel
- Velatel-Aerostrong
- Verizon Wireless
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- Videotron
- Viettel
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- Visafone Communications
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- Vivato
- Vivo
- VMWare
- Vodacom
- Vodacom Tanzania
- Vodafone
- Vodafone Australia
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- Vodafone Egypt
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- VTel Wireless
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- Wataniya
- Wataniya Telecom
- WBS (iBurst)
- WebRadar
- West Central Wireless
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- Wilson Electronics
- Wind
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- WNC (Wistron NeWeb Corp.)
- Woosh
- Xceed Technologies
- Xilinx
- XL Axiata
- Xplornet
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- Yota
- YTL Communications Yes
- Zain
- Zain Jordan
- Zain Saudi
- Zamtel
- Zhone
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