Systems Engineering in Wireless Communications

✍ Scribed by Heikki Niilo Koivo, Mohammed Elmusrati

• Publisher: Wiley
• Year: 2010
• Tongue: English
• Leaves: 357
• Category: Library

✦ Synopsis

This book provides the reader with a complete coverage of radio resource management for 3G wireless communications

Systems Engineering in Wireless Communications focuses on the area of radio resource management in third generation wireless communication systems from a systems engineering perspective. The authors provide an introduction into cellular radio systems as well as a review of radio resource management issues. Additionally, a detailed discussion of power control, handover, admission control, smart antennas, joint optimization of different radio resources , and cognitive radio networksis offered. This book differs from books currently available, with its emphasis on the dynamical issues arising from mobile nodes in the network. Well-known control techniques, such as least squares estimation, PID control, Kalman filers, adaptive control, and fuzzy logic are used throughout the book.

Key Features:

• Covers radio resource management of third generation wireless communication systems at a systems level
• First book to address wireless communications issues using systems engineering methods
• Offers the latest research activity in the field of wireless communications, extending  to the control engineering community
• Includes an accompanying website containing MATLAB™/SIMULINK™ exercises
• Provides illustrations of wireless networks

This book will be a valuable reference for graduate and postgraduate students studying wireless communications and control engineering courses, and R&D engineers.

✦ Table of Contents

Wiley - System Engineering in Wireless Communication (2010) (ATTiCA)......Page 5
Contents......Page 7
Preface......Page 11
List of Abbreviations......Page 13
1.1.1 Transmitter......Page 17
1.1.2 Wireless Channels......Page 19
1.1.3 Receiver......Page 23
1.2 The Quality of Service (QoS) Parameters......Page 24
1.3 Multiple Access Techniques......Page 27
2.1 Introduction......Page 29
2.2 Feedback Control......Page 31
2.3 Relay Control (ON–OFF Control)......Page 32
2.4 Proportional-Integral-Derivative (PID) Control......Page 35
2.5 Proportional (P) Control......Page 36
2.6 Integral (I) Controller......Page 39
2.7 Proportional-Integral (PI) Controller......Page 40
2.8 Proportional Derivative (PD) Controller......Page 42
2.9 Proportional-Integral-Derivative (PID) Controller......Page 45
2.10 Practical Issues......Page 46
2.11 Tuning of PID Controllers......Page 48
2.12 Digital Implementation of a PID Controller......Page 49
2.13 Phase-Locked Loop......Page 52
2.14 State-Space Representation......Page 61
2.15 Kalman Filter......Page 66
2.16 Linear Kalman Filter......Page 68
2.17.1 Fuzzification......Page 74
2.17.3 Fuzzy Reasoning......Page 76
Exercises......Page 80
3.1 Introduction......Page 85
3.2 Large-Scale Propagation Models......Page 86
3.2.1 Line-of-Sight Path Model......Page 87
3.2.2 Reflection Model......Page 88
3.2.3 Statistical Path-Loss Models......Page 89
3.2.4 Data-Fitting Methods in Path-Loss Modeling......Page 91
3.2.5 Shadow or Log-Normal Fading......Page 99
3.3.1 Multipath Fading......Page 100
3.3.2 Rayleigh Fading Channel......Page 104
3.4 Summary......Page 113
4.2 Linear Time-Variant (LTV) Channel Model......Page 115
4.2.1 Time-Selective Channel......Page 117
4.2.2 Frequency-Selective Channel......Page 118
4.3 Multivariable Case......Page 120
4.4 Simulation of LTV Systems......Page 121
4.5 Discrete-Time Models......Page 122
4.6 Discrete-Time Models with Noise......Page 125
4.7 Least Squares Identification......Page 129
4.8 Minimum Variance Prediction......Page 131
4.9 Self-Tuning Predictor......Page 136
4.10 System Identification with Neural Networks......Page 138
4.11 Summary......Page 139
Exercises......Page 141
5.1 Introduction......Page 143
5.2 Centralized Power Control......Page 148
5.3 Graphical Description of Power Control......Page 155
5.4 Distributed Power Control Algorithms......Page 156
5.4.1 The Linear Iterative Method......Page 159
5.4.2 The Distributed Balancing Algorithm (DBA)......Page 160
5.4.3 The Distributed Power Control (DPC) Scheme......Page 161
5.4.4 The Distributed Constrained Power Control (DCPC) Algorithm......Page 162
5.4.5 The Foschini and Miljanic Algorithm (FMA)......Page 164
5.4.6 The Constrained Second-Order Power Control (CSOPC) Algorithm......Page 167
5.4.7 The Estimated Step Power Control (ESPC) Algorithm......Page 168
5.4.8 The Multi-Objective Distributed Power Control (MODPC) Algorithm......Page 173
5.4.9 The Kalman Filter Distributed Power Control Algorithm......Page 177
References......Page 181
6.1 Introduction......Page 183
6.2 Issues in Uplink Power Control......Page 185
6.3 Upper Link Power Control with a Relay Controller......Page 187
6.4 PID Control......Page 194
6.5 The Self-Tuning Predictive Power Control Algorithm......Page 199
6.5.1 Predictor Structure......Page 200
6.6 Self-Tuning Power Control......Page 206
6.7 Fuzzy Power Control......Page 218
6.8 Handover......Page 225
6.9 Summary......Page 231
Exercises......Page 232
7.1 Introduction to Admission Control (AC)......Page 233
7.2 Theoretical Analysis of Centralized Admission Control......Page 235
7.4 Interactive Distributed Admission Control (IDAC) Algorithm......Page 240
7.5 Admission Control in UMTS......Page 242
7.6 Admission Control for Non-Real-Time Applications......Page 248
7.7 Load Control (LC)......Page 249
References......Page 251
8 Combining Different Radio Resources......Page 253
8.1 Some Radio Resources Interrelations......Page 255
8.2 Power and Rate Control......Page 262
8.2.1 Optimal Centralized Power and Rate Control......Page 263
8.2.2 Centralized Minimum Total Transmitted Power (CMTTP) Algorithm......Page 266
8.2.3 Maximum Throughput Power Control (MTPC) Algorithm......Page 268
8.2.4 Statistical Distributed Multi-rate Power Control (SDMPC) Algorithm......Page 269
8.2.5 Lagrangian Multiplier Power Control (LRPC) Algorithm......Page 270
8.2.6 Selective Power Control (SPC) Algorithm......Page 271
8.3 Mathematical Formulation of the RRM Problem in the MO Framework......Page 272
8.3.1 Multi-Objective Optimization......Page 273
References......Page 275
9 Smart Antennas......Page 277
9.1 Smart Antennas and Adaptation......Page 279
9.1.1 Conventional Beamformer......Page 284
9.1.2 Null-Steering Beamformer......Page 286
9.1.3 Minimum Variance Distortionless Response (MVDR) Beamformer......Page 291
9.1.4 Minimum Mean Square Error (MMSE) Beamformer......Page 298
9.1.5 Recursive Least Squares (RLS) Algorithm......Page 300
9.1.6 Subspace Methods for Beamforming......Page 301
9.1.7 Adaptive Beamforming using the Kalman Filter......Page 304
9.1.8 Blind Beamforming......Page 305
9.2 Spatial-Temporal Processing......Page 308
9.3 Joining Radio Resources with Beamforming......Page 309
9.4 Multiple-Input Multiple-Output (MIMO) Antennas......Page 314
References......Page 317
10 Cognitive Radios and Networks......Page 319
10.1 Concepts of Cognitive Radios......Page 322
10.3 Direct Spectrum Sensing......Page 324
10.3.1 Energy-Based Detection......Page 329
10.3.2 Feature-Based Detection......Page 333
10.4 Cognitive Radio Networks and Game Theory......Page 338
10.5 Systems Engineering and Cognitive Radios......Page 344
References......Page 346
Bibliography......Page 349
Index......Page 351