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Self-Organizing Networks (SON) Challenges and Market Opportunities for 3G, LTE, and Beyond, Fourth Edition

The Report Self-Organizing Networks (SON) Challenges and Market Opportunities for 3G, LTE, and Beyond, Fourth Edition provides information on pricing, market analysis, shares, forecast, and company profiles for key industry participants. - MarketResearchReports.biz

 

Albany, NY -- (SBWIRE) -- 03/12/2015 -- Mobile network operators are looking for more automation in order to efficiently manage their large networks, which consist of thousands of base stations with hundreds of settings each. The role of Self-organizing Networks (SON) is to enable efficient, and in some cases programmatic means of fine tuning cellular networks.

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SON can fix fundamental problems (i.e. the tire is out of alignment analogy), such as poor coverage and/or dropped calls in an area and it can also be used for short-term, real-time issues (and then potentially be put back the way the network was in the first place. For example, the network may need optimization locally for a specific event such as a sporting event or live show/concert. In all cases, SON is designed to support wireless carriers desire to provide a multitude of different services with high quality of experience for the end-user.

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Approximately 80-85% of global providers focus on SON only in the 3G portion of their networks today. This is because they want to first optimize what is stable and most of the network, while they work out other issues on 4G. The ultimate implementation of SON in 4G networks will bring many advantages. For example, 4G has something called "Reserved Quality" (talked about on 3G, but not really there) as a means of managing Quality of Service (QoS) and Quality of Experience (QoE). This represents a benefit of SON on LTE in terms of optimizing network to support the QoS/QoE metrics. Leading vendors, such as Amdocs (who acquired Celcite) recognize this and are building solutions for improving customer experience.

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This research evaluates SON capabilities, vendors, and solutions. It analyzes the function of SON relative to 3G and LTE and evaluates the benefits of deployment and operation. The report also discusses the future of SON beyond 4G. This research includes a forecast for overall OSS/BSS revenue.

Report Benefits:

SON forecasts and regional outlook
SON case studies and future outlook
Understand SON technology and solutions
Identify the benefits of SON in 4G networks
Understand network optimization alternatives
Recognize SON benefits including CapEx reduction
Identify SON vendors, offerings, and their market positions
Identify the alternative uses for SON including data analytics
Understand SON deployment, operation, and related solutions

Target Audience:

Mobile network operators
Wireless device manufacturers
Wireless infrastructure providers
OSS/BSS vendors and service providers
Network optimization service providers
Wireless network performance companies
LTE application developers and service integrators
Managed service providers and service bureau organizations

Companies in Report:

Actix
AIRCOM
AirHop
Alcatel Lucent
Aricent
Arieso
Ascom
Astellia
AT&T
Axis
Bytemobile
Celcite (Amdocs)
Celtro
Cisco
Commsquare
EarthComm
Ericsson
Huawei
Intucell
Lightsequared
Mentum
Motorola
NEC
Newfield Wireless
Nokia Siemens Networks
Optimi
P.I.Works
Plano Engineering
Qualcomm UltraSOn
Reverb
Schema
Symena
Telstra
Theta Networks
T-Mobile
TTG International
Tulinx
Ubiquisys
Vector
Verizon
Vodafone
Xceed

Table of Contents:

1 Introduction 9
1.1 Executive Summary 9
1.2 Topics Covered 11
1.3 Key Questions Answered 12
1.4 Target Audience 13
1.5 Companies Mentioned 14

2 SON Technology Overview 16
2.1 The Evolution towards Heterogeneous Networks 16
2.2 SON in 3GPP Release 11 18
2.2.1 Releases 8, 9 and 10 Standardization 18
2.2.2 3GPP Release 8 19
2.2.3 3GPP Release 9 19
2.2.4 3GPP release 10 20
2.2.5 3GPP Release 11 20
2.3 Self-Organizing Networks Overview 21
2.4 Self-Organizing Networks Benefits 26
2.4.1 Network Automation 27
2.4.2 Energy Saving 28
2.4.3 Lower Equipment Costs 28
2.4.4 Distributed/Self-organizing (DSO) 29
2.4.5 Cooperative Relaying (CR) in SON 30
2.4.6 Feedback Overhead in SON 31
2.4.7 Codebook-based Pre-coding SON 32

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