Multi Access Edge Computing Market

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Multi Access Edge Computing Market 2018 – 2023

This Multi Access Edge Computing market report evaluates the telecom and IT ecosystem in support of MEC including communications and computing infrastructure providers, managed services vendors, carriers and OTT providers. Our MEC analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs.

The report also provides quantitative analysis of the Mobile Edge Computing market including segmentation by industry vertical, region of the world, application and services. It also provides forecasts for MEC based streaming data and real-time data analytics.



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Description

Often used synonymously, MEC refers to Mobile Edge Computing or Multi Access Edge Computing with the former being more cellular network centric (LTE and 5G) and the latter terminology adopted by standards groups to generalize edge computing to reflect that it may be also be used by WiFi and other wireless access technologies. The distinction between the Multi Access Edge Computing market and Mobile Edge Computing largely ends with radio access and network type, as almost every other aspect is the same including localizing computing (e.g. computation and storage closer to the end-user), network element virtualization, software and service-centric operations.

Multi Access Edge Computing Market Dynamics

MEC is beneficial for LTE, but virtually essential for 5G. This is because Mobile Edge Computing facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most. Without MEC, 5G would continue to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G.

Mobile Edge Computing is Essential to 5G

The deployment MEC with 5G also provides a very powerful combination based on some of the latter’s key attributes such as network slicing, which in conjunction with localized computing provides unparalleled opportunities for Quality of Service and Quality of Experience optimization for both consumers and enterprise users. This will benefit both data-only apps as well as Voice over 5G (Vo5G) supported services. In addition, many industrial automation applications, such as Cloud Robotics, will be enabled by the combination of MEC and 5G.

It is important to note that the Multi Access Edge Computing market goes beyond cellular, and there are a few key standards initiatives and groups involved in ensuring MEC works for other networks. This includes the European Telecommunications Standards Institute (ETSI), Central Office Re-architected as a Data Center (CORD), and the Edge Computing Consortium. While these standards efforts will ultimately result in support for wireless access of many types, the Mobile Edge Computing market (e.g. cellular networks) is expected to be the first and largest beneficiary.

The technical drivers for the Multi Access Edge Computing market include reduced energy consumption, lower operational costs, reduced network latency, and maximized throughput. These technology-focused attributes provide some very compelling Mobile Edge Computing market drivers including many customer-focused benefits such as a more open service creation and deployment environment, application customization, and premium services optimization. In addition, MEC provides improved network economics for back-haul, front-haul, and overall communications/computing operations.

Multi Access Edge Computing Market Report

This report evaluates the telecom and IT ecosystem in support of MEC including communications and computing infrastructure providers, managed services vendors, carriers and OTT providers. Our MEC analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs.

The report also provides quantitative analysis of the Mobile Edge Computing market including segmentation by industry vertical, region of the world, application and services. It also provides forecasts for MEC based streaming data and real-time data analytics. This report also takes into consideration the following market characteristics and ecosystem issues:

Multi Access Edge Computing Market Characteristics

  • Proximity: MEC allows for applications, services, and data to be optimized based on their proximity to end-users
  • Low Latency: MEC network topology reduces latency for any network or radio access type including LTE, 5G, and WiFi
  • Location-aware: By its very nature, MEC is location-based, allowing for apps and services to be inherently location-enabled
  • Contextual: MEC provides both a Network and User Context, allowing service providers of all types (carriers and OTT providers) optimize operations
  • Network Densification: As part of a Heterogeneous Network (HetNet), MEC is a key computing component of a dense distribution of network elements

Multi Access Edge Computing Market Ecosystem

  • Carriers: Legacy Communication Service Providers (CSP) will benefit greatly from Mobile Edge Computing
  • Over the Top (OTT) Service Providers: While they do not have their own networks, MEC is also important to OTT providers
  • Infrastructure Providers: MEC impacts traditional telephony equipment providers as they must now be concerned with computing as well
  • Application Developers: MEC is driving a more open and distributed communications/computing architecture, which is good for developers
  • Datacenters: MEC allows computing vendors to expand and diversify their offerings as mini-datacenters will be distributed throughout networks
  • Systems Integrators: MEC drives the need for systems integrators to help CSPs with simultaneous communications/computing planning and deployment

Mobile Edge Computing and Communications Expertise and Knowledge Base

Why purchase this Mobile Edge Computing market report from Mind Commerce?

Our market research practice focuses exclusively on the Information and Communications Technology (ICT) sector. Our edge computing research leverages our numerous years of focus on many topics within cellular network infrastructure, applications and services. More recently, Mind Commerce has dedicated substantial resources and effort on the convergence of operational technology, information technology, and telephony.

We have developed a unique perspective regarding both the tactical and strategic elements of edge computing. In addition, we have a strong vision for the future of the Multi Access Edge Computing market and the impact of MEC on ICT as well as many other enterprise and industrial industry verticals.

Additional information

Published

2018

Pages

194

Target Audience

Application Developers, Artificial Intelligence Companies, Big Data and Analytics Companies, Cloud and Internet of Things Companies, Communications Services Providers, Datacenter and Data Services Companies, Governmental Organizations and NGOs, ICT Infrastructure Providers, Industrial Automation Solution Providers, Managed Services Companies, Systems Integrators

License Type

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Report Benefits

  • MEC forecasts 2018 – 2023
  • Understand MEC technology
  • Understand the MEC ecosystem
  • Identify MEC market opportunities
  • Learn how MEC will impact industry verticals
  • Identify significant MEC players and offerings
  • Recognize the potential for MEC in enterprise

Companies in Report

  • ADLINK
  • Advantech
  • Huawei
  • IBM
  • Intel
  • Juniper Network
  • Nokia Network
  • NTT DoCoMo
  • Parallel Wireless
  • PeerApp
  • Saguna
  • SpiderCloud Wireless
  • Vasona Network
  • Vodafone

Table of Contents

1 Executive Summary
2 Introduction
2.1 Understanding Multi-access Edge Computing
2.1.1 Edge Computing in an ICT Context
2.1.2 Proximity Computing: The Edge in Physical and Logical Context
2.1.3 Edge Computing vs. Other Computational Approaches
2.1.4 Multi-access Edge Computing
2.2 Important Characteristics of MEC
2.2.1 Processing at the Edge
2.2.2 Low Latency
2.2.3 Context Based
2.2.4 Location and Analytics
2.3 MEC Benefits
2.3.1 Business Benefits
2.3.2 Technical Benefits
2.3.3 Mobile Network Operator Benefits
2.3.4 Key Element of Carrier Heterogeneous Network Strategy
3 MEC Technology, Platforms, and Architecture
3.1 MEC Platform Architecture Building Blocks
3.1.1 MEC Infrastructure
3.1.2 MEC Application Platforms
3.1.3 MEC Management Framework
3.2 The Edge Cloud Computing Value Chain
3.3 MEC Technology Building Blocks
3.3.1 Radio Network Information Service
3.3.2 Traffic Offload Function
3.3.3 MEC Interfaces
3.3.4 Configuration Management
3.3.5 Application Lifecycle Management
3.3.6 VM Operations and Management
3.3.7 Hardware Virtualization and Infrastructure Management
3.3.8 Core Network Elements
3.3.9 Open Standards
3.4 MEC Technology Enablers
3.4.1 Mobile Computing to Mobile Cloud Computing
3.4.2 Cloudlet based Mobile Cloud Computing
3.4.3 Cloudlet to Cloud
3.4.4 PacketCloud Open Platform for Cloudlets
3.4.5 Enterprise Cloud Architecture
3.4.6 Cloudlet Solutions
3.4.7 Cloudlet Storage Frameworks
3.5 MEC Deployment Considerations
3.5.1 MEC Implementation Challenges
3.5.2 MEC Operational Challenges
4 MEC Market Drivers and Opportunities
4.1 Limitations of Cloud Convergence
4.2 IT and Telecom Network Convergence
4.3 Base Station Evolution
4.4 Cell Aggregation
4.5 Virtualization in the Cloud
4.6 Continually Improving Server Capacity
4.7 Data Center to Network Interactions
4.8 Open and Flexible App and Service Ecosystem
4.9 Fifth Generation (5G) Wireless
4.10 Edge Cloud and Data Transferability
4.11 Proximate Cloud Computing
4.12 Increasingly Faster Content Delivery
4.13 Advantages of MEC Small Cell Deployment
4.14 Overall Mobile Data Demand
4.15 Low Latency Applications
4.16 Integration of MEC with Cloud RAN
4.17 MEC Enhances Real-time Data and Analytics
4.17.1 Why Data at the Edge?
4.17.2 Convergence of Distributed Cloud and Big Data
5 MEC Ecosystem
5.1 The Overall Edge Computing Ecosystem
5.2 MEC Ecosystem Players
5.2.1 ETSI MEC ISG
5.2.2 Software and ASPs
5.2.3 OTT Service and Content Providers
5.2.4 Network Infrastructure and Equipment Providers
5.2.5 Mobile Network Operators
5.3 Individual Company Analysis
5.3.1 ADLINK Technology Inc.
5.3.2 Advantech
5.3.3 Akamai Technologies
5.3.4 Allot Communications
5.3.5 Advanced Micro Devices
5.3.6 Brocade Communications Systems
5.3.7 Cavium Networks
5.3.8 Ceragon Networks
5.3.9 Cisco Systems
5.3.10 Fujitsu Technology Solutions
5.3.11 Hewlett Packard Enterprise
5.3.12 Huawei Technologies Co. Ltd
5.3.13 IBM Corporation
5.3.14 Integrated Device Technology
5.3.15 Intel Corporation
5.3.16 InterDigital Inc.
5.3.17 Juniper Networks
5.3.18 NEC Corporation
5.3.19 Nokia Corporation
5.3.20 PeerApp Ltd.
5.3.21 Quortus
5.3.22 Redhat, Inc.
5.3.23 Saguna Networks
5.3.24 Samsung Electronics Co., Ltd
5.3.25 Sony Corporation
5.3.26 SpiderCloud Wireless
5.3.27 Vasona Networks
5.3.28 Xilinx, Inc.
5.3.29 Yaana Ltd.
5.3.30 ZTE Corporation
6 MEC Application and Service Strategies
6.1 Optimizing the Mobile Cloud
6.1.1 Mobile Network Operator Strategies
6.1.2 Service Strategies and End-user Demand
6.2 Context Aware Services
6.2.1 Commerce
6.2.2 Education
6.2.3 Gaming
6.2.4 Healthcare
6.2.5 Location-based Services
6.2.6 Public Safety
6.2.7 Connected Vehicles
6.2.8 Wearables
6.1 Data Services and Analytics
6.1.1 Localized Real-time Data Becomes King
6.1.2 Anonymizing Local and Real-time Data for Third-party Usage
6.1.3 Increasing Demand for Data as a Service (DaaS) in MEC Environment
7 MEC Market Forecasts 2018 – 2023
7.1 Global Market 2018 – 2023
7.1.1 Combined MEC Market
7.1.2 MEC Market by Segment
7.1.2.1 MEC Cloud Server Market
7.1.2.2 MEC Equipment Market
7.1.2.3 MEC Platform Market
7.1.2.4 MEC Software and API Market
7.1.2.5 MEC Service Market
7.1.3 MEC Enterprise CAPEX and OPEX Spend
7.1.4 MEC Network Migration
7.1.5 MEC Enterprise Adoption
7.2 MEC Regional Market 2018 – 2023
7.2.1 North America Market Forecast
7.2.2 APAC Market Forecasts
7.2.3 Europe Market Forecast
7.3 MEC Network Users/Devices 2018 – 2023
7.3.1 Global MEC Network Users/Devices
7.3.2 MEC Network User by Supporting Network
7.3.3 Regional MEC Network User
7.3.3.1 North America User
7.3.3.2 APAC User
7.3.3.3 Europe User
8 Conclusions and Recommendations
8.1 Anticipated Market Needs and Opportunities
8.1.1 The need for MEC Integration with Public Cloud Platforms
8.1.2 Enterprise (Dedicated and Shared Resources) MEC Integration
8.1.3 Dedicated MEC Public Safety and Homeland Security Infrastructure
8.2 Insights into Future Market Dynamics
8.2.1 MEC will Facilitate Downward Price Pressure on Non-real-time Data
8.2.2 MEC will Drive Demand for Virtual Network Operators
8.2.3 MEC will Drive the Need for New Players as well as M&A
9 Appendix: Real-time Data Analytics Revenue 2018 – 2023
9.1 Global Streaming Data Analytics Revenue
9.2 Global Real-time Data Analytics Revenue by App, Software, and Services
9.3 Global Real-time Data Analytics Revenue in Industry Verticals
9.3.1 Real-time Data Analytics Revenue in Retail
9.3.1.1 Real-time Data Analytics Revenue by Retail Segment
9.3.1.2 Real-time Data Analytics Retail Revenue by App, Software, and Service
9.3.2 Real-time Data Analytics Revenue in Telecom and IT
9.3.2.1 Real-time Data Analytics Revenue by Telecom and IT Segment
9.3.2.2 Real-time Data Analytics Revenue by Telecom and IT App, Software, and Service
9.3.3 Real-time Data Analytics Revenue in Energy and Utility
9.3.3.1 Real-time Data Analytics Revenue by Energy and Utility Segment
9.3.3.2 Real-time Data Analytics Energy and Utilities Revenue by App, Software, and Service
9.3.4 Real-time Data Analytics Revenue in Government
9.3.4.1 Real-time Data Analytics Revenue by Government Segment
9.3.4.2 Real-time Data Analytics Government Revenue by App, Software, and Service
9.3.5 Real-time Data Analytics Revenue in Healthcare and Life Science
9.3.5.1 Real-time Data Analytics Revenue by Healthcare Segment
9.3.6 Real-time Data Analytics Revenue in Manufacturing
9.3.6.1 Real-time Data Analytics Revenue by Manufacturing Segment
9.3.6.2 Real-time Data Analytics Manufacturing Revenue by App, Software, and Service
9.3.7 Real-time Data Analytics Revenue in Transportation and Logistics
9.3.7.1 Real-time Data Analytics Revenue by Transportation and Logistics Segment
9.3.7.2 Real-time Data Analytics Transportation and Logistics Revenue by App, Software, and Service
9.3.8 Real-time Data Analytics Revenue in Banking and Finance
9.3.8.1 Real-time Data Analytics Revenue by Banking and Finance Segment
9.3.8.2 Real-time Data Analytics Revenue by Banking and Finance App, Software, and Service
9.3.9 Real-time Data Analytics Revenue in Smart Cities
9.3.9.1 Real-time Data Analytics Revenue by Smart City Segment
9.3.9.2 Real-time Data Analytics Revenue by Smart City App, Software, and Service
9.3.10 Real-time Data Analytics Revenue in Automotive
9.3.10.1 Real-time Data Analytics Revenue by Automobile Industry Segment
9.3.10.2 Real-time Data Analytics Revenue by Automotive Industry App, Software, and Service
9.3.11 Real-time Data Analytics Revenue in Education
9.3.11.1 Real-time Data Analytics Revenue by Education Industry Segment
9.3.11.2 Real-time Data Analytics Revenue by Education Industry App, Software, and Service
9.3.12 Real-time Data Analytics Revenue in Outsourcing Services
9.3.12.1 Real-time Data Analytics Revenue by Outsourcing Segment
9.3.12.2 Real-time Data Analytics Revenue by Outsourcing Industry App, Software, and Service
9.4 Real-time Data Analytics Revenue by Leading Vendor Platform
9.4.1 Global Investment in Data by Industry Sector 2018 – 2023

Figures

Figure 1: Global Markets for Mobile Edge Computing
Figure 2: Regional Markets for Mobile Edge Computing
Figure 3: Mobile Edge Computing Users by Region
Figure 4: MEC Value Chain for Edge Cloud Computing
Figure 5: Extreme Outdoor Server
Figure 6: Cloudlet based PacketCloud Framework
Figure 7: MEC and C-RAN Architecture
Figure 8: Mobile Edge Computing Network
Figure 9: MEC Network and Application Clients
Figure 10: ETSI MEC ISG Members
Figure 11: MEC enables Many Cloud-based Apps
Figure 12: Mobile Edge Computing Markets by Components
Figure 13: Mobile Edge Computing Markets by Category
Figure 14: Mobile Edge Computing Equipment Markets by Category
Figure 15: Mobile Edge Computing Platform Markets by Category
Figure 16: Mobile Edge Computing Software & API Market in Vertical Segment
Figure 17: Mobile Edge Computing As a Service Market by Type
Figure 18: Number of Mobile Edge Computing Users by Supporting Network
Figure 19: Mobile Edge Computing Markets by the End Use Technology
Figure 20: Mobile Edge Computing Markets by Analytics Type
Figure 21: Mobile Edge Computing Markets by Applications
Figure 22: Mobile Edge Computing Markets by End-Users
Figure 23: Mobile Edge Computing Markets by Industry
Figure 24: North America: Mobile Edge Computing Market Size by Segments
Figure 25: North America: Mobile Edge Computing Server Market by Category
Figure 26: North America: Mobile Edge Computing Equipment Market by Category
Figure 27: North America: Mobile Edge Computing Platform Market by Category 117
Figure 28: North America: Mobile Edge Computing Software & API Market in Vertical Segment
Figure 29: North America: Mobile Edge Computing as a Service Market by Type
Figure 30: North America: Mobile Edge Computing Markets by Industry
Figure 31: Europe: Mobile Edge Computing Market Size by Segments
Figure 32: Europe: Mobile Edge Computing Server Market by Category
Figure 33: Europe: Mobile Edge Computing Equipment Market by Category
Figure 34: Europe: Mobile Edge Computing Platform Market by Category
Figure 35: Europe: Mobile Edge Computing Software & API Market in Vertical Segment
Figure 36: Europe: Mobile Edge Computing as a Service Market by Type
Figure 37: Europe: Mobile Edge Computing Markets by Industry
Figure 38: APAC: Mobile Edge Computing Market Size by Segments
Figure 39: APAC: Mobile Edge Computing Server Market by Category
Figure 40: APAC: Mobile Edge Computing Equipment Market by Category
Figure 41: APAC: Mobile Edge Computing Platform Market by Category
Figure 34: APAC: Mobile Edge Computing Software & API Market in Vertical Segment
Figure 43: APAC: Mobile Edge Computing as a Service Market by Type
Figure 44: APAC: Mobile Edge Computing Markets by Industry
Figure 45: Global Real-time Data Analytics 2018 – 2023
Figure 46: Evolution of Mobile Communication Standards (1G to 5G)
Figure 47: Evolution from LTE Advanced to 5G
Figure 48: Sample Specifications for 5G
Figure 49: Conceptual 5G Mobile Device
Figure 50: 5G Challenges: Mobile SoC Performance vs. Energy Efficiency
Figure 51: Potential 5G Service Chart and Bandwidth & Latency Requirement
Figure 52: New Service Capabilities in 5G Environment

Tables

Table 1: Global Markets for Mobile Edge Computing 2018 – 2023
Table 2: Regional Markets for Mobile Edge Computing 2018 – 2023
Table 3: Number of Mobile Edge Computing Users by Region 2018 – 2023
Table 4: Mobile Edge Computing Market by Components 2018 – 2023
Table 5: Mobile Edge Computing Market by Category 2018 – 2023
Table 6: Mobile Edge Computing Equipment Market by Category 2018 – 2023
Table 7: Mobile Edge Computing Platform Market by Category 2018 – 2023
Table 8: Mobile Edge Computing Software and API Market in Vertical Segment 2018 – 2023
Table 9: Mobile Edge Computing as a Service Market by Type 2018 – 2023
Table 10: Number of Mobile Edge Computing Users by Supporting Network 2018 – 2023
Table 11: Mobile Edge Computing Market by the End Use Technology 2018 – 2023
Table 12: Mobile Edge Computing Market by Analytics Type 2018 – 2023
Table 13: Mobile Edge Computing Market by Application 2018 – 2023
Table 14: Mobile Edge Computing Market by End-Users 2018 – 2023
Table 15: Mobile Edge Computing Market by Industry 2018 – 2023
Table 16: North America: Mobile Edge Computing Market Size by Segments 2018 – 2023
Table 17: North America: Mobile Edge Computing Server Market by Category 2018 – 2023
Table 18: North America: Mobile Edge Computing Equipment Market by Category 2018 – 2023
Table 19: North America: Mobile Edge Computing Platform Market by Category 2018 – 2023
Table 20: North America: Mobile Edge Computing Software and API Market in Vertical Segment 2018 – 2023
Table 21: North America: Mobile Edge Computing as a Service Market by Type 2018 – 2023
Table 22: North America: Mobile Edge Computing Markets by Industry 2018 – 2023
Table 23: Europe: Mobile Edge Computing Market Size by Segments 2018 – 2023
Table 24: Europe: Mobile Edge Computing Server Market by Category 2018 – 2023
Table 25: Europe: Mobile Edge Computing Equipment Market by Category 2018 – 2023
Table 26: Europe: Mobile Edge Computing Platform Market by Category 2018 – 2023
Table 27: Europe: Mobile Edge Computing Software and API Market in Vertical Segment 2018 – 2023
Table 28: Europe: Mobile Edge Computing as a Service Market by Type 2018 – 2023
Table 29: Mobile Edge Computing Markets by Industry 2018 – 2023
Table 30: APAC: Mobile Edge Computing Market Size by Segments 2018 – 2023
Table 31: APAC: Mobile Edge Computing Server Market by Category 2018 – 2023
Table 32: APAC: Mobile Edge Computing Equipment Market by Category 2018 – 2023
Table 33: APAC: Mobile Edge Computing Platform Market by Category 2018 – 2023
Table 34: APAC: Mobile Edge Computing Software & API Market in Vertical Segment 2018 – 2023
Table 35: APAC: Mobile Edge Computing as a Service Market by Type 2018 – 2023
Table 36: APAC: Mobile Edge Computing Markets by Industry 2018 – 2023
Table 37: Global Real-time Data Analytics Revenue by App, Software, and Service 2018 – 2023
Table 38: Global Real-time Data Analytics Revenue in Industry Vertical 2018 – 2023
Table 39: Retail Real-time Data Analytics Revenue by Retail Segment 2018 – 2023
Table 40: Retail Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 41: Telecom & IT Real-time Data Analytics Rev by Segment 2018 – 2023
Table 42: Telecom & IT Real-time Data Analytics Rev by App, Software, and Services 2018 – 2023
Table 43: Energy & Utilities Real-time Data Analytics Rev by Segment 2018 – 2023
Table 44: Energy & Utilities Real-time Data Analytics Rev by App, Software, and Services 2018 – 2023
Table 45: Government Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 46: Government Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 47: Healthcare & Life Science Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 48: Healthcare & Life Science Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 49: Manufacturing Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 50: Manufacturing Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 51: Transportation & Logistics Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 52: Transportation & Logistics Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 53: Banking and Finance Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 54: Banking & Finance Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 55: Smart Cities Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 54: Smart Cities Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 57: Automotive Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 58: Automotive Real-time Data Analytics Revenue by Apps, Software, and Services 2018 – 2023
Table 59: Education Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 60: Education Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 61: Outsourcing Service Real-time Data Analytics Revenue by Segment 2018 – 2023
Table 62: Outsourcing Service Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023
Table 63: Real-time Data Analytics Revenue by Leading Vendor Platforms 2018 – 2023
Table 64: Investment in Data by Industry Vertical 2018 – 2023
Table 65: 5G Spectrum Band Options, Merits and Licenses
Table 66: Roadmap for 5G Requirements
Table 67: Roadmap for 5G Wireless Subsystem
Table 68: Roadmap for Virtualization and Software Networks
Table 69: Roadmap for Converged Connectivity

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