Advanced Wireless Networks, 3ed: Technology and Business Models

Author : Savo Glisic
Price : Rs 649.00
ISBN 13 : 9788126565016
ISBN 10 : 8126565012
Pages : 848
Type : Paperbound

Advanced Wireless Networks, 3ed: Technology and Business Models


The third edition of this popular reference covers enabling technologies for building up 5G wireless networks. Due to extensive research and complexity of the incoming solutions for the next generation of wireless networks it is anticipated that the industry will select a subset of these results and leave some advanced technologies to be implemented later. This new edition presents a carefully chosen combination of the candidate network architectures and the required tools for their analysis. Due to the complexity of the technology, the discussion on 5G will be extensive and it will be difficult to reach consensus on the new global standard. 



1 Introduction: Generalized Model of Advanced Wireless Networks

1.1 Network Model

1.2 Network Connectivity

1.3 Wireless Network Design with Small World Properties  

1.4 Frequency Channels Backup

1.5 Generalized Network Model

1.6 Routing Protocols Over s-Lattice Network

1.7 Network Performance

1.8 Node, Route, Topology and Network Robustness

1.9 Power Consumption

1.10 Protocol Complexity

1.11 Performance Evaluation

1.12 Book Layout


2 Adaptive Network Layer

2.1 Graphs and Routing Protocols

2.2 Graph Theory

2.3 Routing with Topology Aggregation


3 Mobility Management

3.1 Cellular Networks

3.2 Cellular Systems with Prioritized Handoff

3.3 Cell Residing Time Distribution

3.4 Mobility Prediction in Pico- and Micro-Cellular Networks


4 Ad Hoc Networks

4.1 Routing Protocols

4.2 Hybrid Routing Protocol

4.3 Scalable Routing Strategies

4.4 Multipath Routing

4.5 Clustering Protocols

4.6 Cashing Schemes for Routing

4.7 Distributed QoS Routing


5 Sensor Networks

5.1 Introduction

5.2 Sensor Network Parameters

5.3 Sensor Network Architecture

5.4 Mobile Sensor Network Deployment

5.5 Directed Diffusion

5.6 Aggregation in Wireless Sensor Networks

5.7 Boundary Estimation

5.8 Optimal Transmission Radius in Sensor Networks

5.9 Data Funneling

5.10 Equivalent Transport Control Protocol in Sensor Networks


6 Security

6.1 Authentication

6.2 Security Architecture

6.3 Key Management

6.4 Security in Ad Hoc Networks

6.5 Security in Sensor Networks


7 Network Economics

7.1 Fundamentals of Network Economics

7.2 Wireless Network Microeconomics: Data Sponsoring

7.3 Spectrum Pricing for Market Equilibrium

7.4 Sequential Spectrum Sharing

7.5 Data Plan Trading


8 Multi-Hop Cellular Networks

8.1 Modeling Multi-Hop Multi-Operator Multi-Technology Wireless Networks

8.2 Technology Background

8.3 System Model and Notation

8.4 m3 Route Discovery Protocols

8.5 Performance of m3 Route Discovery Protocols

8.6 Protocol Complexity

8.7 Traffic Offloading Incentives

8.8 Performance Illustrations


9 Cognitive Networks

9.1 Technology Background

9.2 Spectrum Auctions for Multi-hop Cognitive Networks

9.3 Compound Auctioning in Multi-hop Cognitive Cellular Networks


10 Stochastic Geometry

10.1 Background Theory


11 Heterogeneous Networks

11.1 Preliminaries

11.2 Self-Organized Small Cell Networks

11.3 Dynamic Network Architecture

11.4 Economics of Heterogeneous Networks


12 Access Point Selection

12.1 Background Technology

12.2 Network Selection Game

12.3 Joint Access Point Selection and Power Allocation

12.4 Joint AP Selection and Beamforming Optimization


13 Self-Organizing Networks

13.1 Self-Organizing Network Optimization

13.2 System Model

13.3 Joint Optimization of Tilts and AP Association


14 Complex Networks

14.1 Evolution Towards Large-Scale Networks

14.2 Network Characteristics

14.3 Random Graphs


15 Massive MIMO

15.1 Linearly Precoded Multicellular Downlink System

15.2 System Model

15.3 Optimization for Perfect Channel State Information

15.4 Robust Designs for WSRM Problem


16 Network Optimization Theory

16.1 Introduction

16.2 Layering as Optimization Decomposition

16.3 Cross-Layer Optimization

16.4 Optimization Problem Decomposition Methods


17 Network Information Theory

17.1 Capacity of Ad Hoc Networks

17.2 Information Theory and Network Architectures

17.3 Cooperative Transmission in Wireless Multihop Ad Hoc Networks


18 Stability of Advanced Network Architectures

18.1 Stability of Cooperative Cognitive Wireless Networks

18.2 System Model

18.4 Optimal Control Policy

18.5 Achievable Rates

18.6 Stabilizing Transmission Policies


19 Multi-Operator Spectrum Sharing

19.1 Business Models for Spectrum Sharing

19.2 Spectrum Sharing in Multi-hop Networks


20 Large Scale Networks and Mean Field Theory

20.1 MFT for Large Heterogeneous Cellular Networks

20.2 Large Scale Network Model Compression

20.3 Mean Field Theory Model of Large Scale DTN Networks

20.4 Mean Field Modeling of Adaptive Infection Recovery in Multicast DTN Networks

20.5 Mean Field Theory for Scale-Free Random Networks

20.6 Spectrum Sharing and MFT

20.7 Modeling Dynamics of Complex System


21 mmWave Networks

21.1 mmWave Technology in Subcellular Architecture

21.2 Microeconomics of Dynamic mmWave Networks


22 Cloud Computing in Wireless Networks

22.1 Technology Background

22.2 System Model

22.3 System Optimization

22.4 Dynamic Control Algorithm

22.5 Achievable Rates

22.6 Stabilizing Control Policies


23 Wireless Networks and Matching Theory

23.1 Background Technology: Matching Markets

23.2 Distributed Stable Matching in Multiple Operator Cellular Network with Traffic Offloading

23.3 College Admissions Game Model for Cellular Networks with Traffic Offloading

23.4 Many to Many Matching Games for Caching in Wireless Networks

23.5 Many to One Matching with Externalities in Cellular Networks with Traffic Offloading

23.6 Security in Matching of Device to Device Pairs in Cellular Networks


24 Dynamic Wireless Network Infrastructure

24.1 Infrastructure Sharing in Multi-Operator Cellular Networks

24.2 User Provided Connectivity

24.3 Network Virtualization

24.4 Software Defined Networks

24.5 SDN Security




Primary: Researchers, technology developers, PhD and undergraduate students


Secondary: Regulators, managers in wireless industry, operators, decision making persons


Savo Glisic, Professor of Telecommunications, University of Oulu, Finland,

Head of the Networking Research Group, and Director of Globalcomm Institute for Telecommunications. He was Visiting Scientist at Cranfield Institute of Technology, Cranfield, U.K. (1976-1977) and University of California, San Diego (1986-1987). He has been active in the field of wireless communications for 30 years. His research interest is in the area of network optimization theory, network topology control and graph theory, cognitive networks and game theory, radio resource management, QoS and queuing theory, networks information theory, protocol design, advanced routing and network coding, relaying, cellular, WLAN, ad hoc, sensor, active and bio inspired networks with emphasis on genetic algorithms and stochastic geometry.