Fundamentals of Network Planning and Optimisation 2G/3G/4G

Ajay R. Mishra has more than 20 years of experience in the ICT Industry. He has worked on both sides of Networks - with vendors like Ericsson and Nokia, and operators such as Reliance JIO in areas of Network Planning, Technology, Innovations, Product Management, etc. He is currently working with Ericsson where he joined as Director of Technology & IR. He was also Chairman of FG Innovations to Standards at ITU.

• Foreword by Aruna Sundararajan xixForeword by Rainer Deutschmann xxiPreface xxiiiAcknowledgements xxvList of Abbreviations xxvii1 Overview of Mobile Networks 11.1 Introduction 11.2 Mobile Network Evolution 21.3 Information Theory 41.4 Second‐generation Mobile Network 81.5 Third‐generation Mobile Networks 131.6 Fourth‐generation Mobile Networks 171.7 Fifth‐generation Networks 191.8 Supporting Technologies 20Part I: 2G GSM and EGPRS Network Planning and Optimisation 272 Radio Network Planning and Optimisation 292.1 Basics of Radio Network Planning 292.2 Radio Network Planning Process 322.3 Radio Network Pre‐planning 382.4 Radio Network Detailed Planning 402.5 Basics of Radio Network Optimisation 592.6 GPRS Network Planning and Optimisation 662.7 Network Planning in a GPRS Network 712.8 GPRS Detailed Radio Network Planning 742.9 GPRS Radio Network Optimisation 762.10 EDGE Network Planning and Optimisation 772.11 EDGE Radio Network Planning Process 782.12 Radio Network Planning Process 802.13 EDGE Radio Network Optimisation 842.14 Conclusions 863 Transmission Network Planning and Optimisation 873.1 Basics of Transmission Network Planning 873.2 Transmission Network Planning Process 893.3 Transmission Pre‐planning 903.4 Detailed Transmission Network Planning 1073.5 Transmission Network Optimisation 1173.6 GPRS Transmission Network Planning and Optimisation 1233.7 EDGE Transmission Network Planning 1234 Core Network Planning and Optimisation 1334.1 Basics of Core Network Planning 1334.2 Core Network Planning Process 1344.3 Basics of Signalling 1404.4 Intelligent Network (IN) 1414.5 Failure Analysis and Protection 1424.6 Detailed Planning 1444.7 Core Network Optimisation 1454.8 GPRS Core Network Planning 1494.9 EDGE Core Network Planning 154Part II: 3G UMTS Network Planning and Optimisation 1555 3G Radio Network Planning and Optimisation 1575.1 Basics of Radio Network Planning 1575.2 Radio Interface Protocol Architecture 1615.3 Spreading Phenomenon 1645.4 Multipath Propagation 1665.5 Radio Network Planning Process 1675.6 Detailed Planning 1785.7 High Speed Packet Access 1815.8 WCDMA Radio Network Optimisation 1866 3G Transmission Network Planning and Optimisation 1956.1 Basics of 3G (WCDMA) Transmission Network Planning 1956.2 Transmission Network Planning Process 1986.3 Asynchronous Transfer Mode 1986.4 Dimensioning 2036.5 Microwave Link Planning 2066.6 Detailed Planning 2086.7 Ethernet Radio 2156.8 3G WCDMA Transmission Network Optimisation 2177 3G Core Network Planning and Optimisation 2237.1 Basics of Core Network Planning 2237.2 Core Network Planning Process 2247.3 Detailed Network Planning 2287.4 Core Network Optimisation 2327.5 End‐to‐End Quality of Service 233Part III: 4G LTE Network Planning and Optimisation 2358 4G Radio Network Planning and Optimisation 2378.1 Basics of Radio Network Planning 2378.2 LTE Air Interface 2398.3 LTE Frame Structure 2408.4 LTE Protocol Stack 2428.5 LTE Channel Structure 2448.6 Multiple Input Multiple Output Antenna Technique 2478.7 Network Elements in a LTE Radio Network 2488.8 Key Phenomena in LTE 2498.9 Radio Network Planning Process 2518.10 LTE Radio Network Optimisation 2598.11 LTE Advanced 2649 4G Core Network Planning and Optimisation 2679.1 Introduction 2679.2 Basics of EPC Network Planning 2679.3 EPC Network Planning: Key Concepts 2709.4 EPC Network Dimensioning 2729.5 Detailed EPC Network Planning: Key Concepts 2739.6 IMS (IP Multimedia Subsystem) 2769.7 Voice‐Flow in LTE 2879.8 Software Defined Network (SDN) 2889.9 Network Function Virtualisation (NFV) 2919.10 Virtualising Network Functions 291Part IV: 5G Introduction to 5G Network Planning and Optimisation 29510 5G Network Planning 29710.1 Introduction to 5G 29710.2 The 5G Challenge 29810.3 5G Network Architecture 29910.4 5G Enabling Technologies 30310.5 5G Radio and Core Network 30510.6 5G Spectrum 30810.7 Network Planning Consideration in 5G 311Appendix A IoT (Internet of Things) 315Jeevan TalegaonkarA.1 Introduction 315A.2 Types of IoT 317A.3 IoT Use Cases 318A.4 IoT Value Chain 322A.5 Phases of IoT Maturity 323Appendix B Introduction to MIMO and Massive MIMO 325Swapnaja DeshpandeB.1 Introduction 325B.2 Multi‐user MIMO 326B.3 Spatial Multiplexing of Deterministic MIMO Channels 329B.4 MIMO performance improvements 331B.5 Massive MIMO 333Appendix C Blockchain Technology 337Priyanka RayC.1 Overview 337C.2 Distributed Ledger Technology (DLT) 337C.3 What Is Blockchain? 338C.4 Blockchain Versus Database 341C.5 Telcos in Blockchain 342C.6 Blockchain in Other Industries 342C.7 Bitcoin 343C.8 Benefits of Blockchain 345C.9 Challenges of Blockchain 346Appendix D 3GPP Releases 347Guninder Preet SinghD.1 Introduction 347D.2 Release 8 347D.3 Release 9 349D.4 Release 10 349D.5 Release 11 350D.6 Release 12 350D.7 Release 13 351D.8 Release 14 351D.9 Release 15 and Future Releases 352Appendix E A Synopsis on Radio Spectrum Management 353Ramy Ahmed Fathy and Asit KadayanE.1 Introduction to Spectrum 353E.2 Spectrum Management 353E.3 Role of National Administrations in Spectrum Management 355E.4 The International Frequency Allocation Table 356E.5 Spectrum Bands and Their Impact on the User 359E.6 NFAP (National Frequency Allocation Plan): India 360E.7 Efficient Use of Spectrum 362E.8 Future Needs of Spectrum 362Appendix F Artificial Intelligence 365Pieter GeldenhuysF.1 Machine Learning 365F.2 The History of Artificial Intelligence and Machine Learning 365F.3 Artificial Intelligence is about Statistical Relationships, not Cause and Effect Relationships 367F.4 Artificial Intelligence Created User Behaviour Mapping Versus Traditional Market Research 368F.5 Artificial Intelligence Created User Behaviour Mapping Versus Narrative Inquiry 368F.6 The New Digital Ecosystem and Future of Artificial Intelligence 368F.7 The Role of Machine Learning: Headlines from the Future 369F.8 Conclusion 372Bibliography 372Appendix G Erlang B Tables 373Bibliography 383Index 389