Издательство Springer, 2005, -812 pp.
Signal processing (SP) is a key research area in mobile communications. The recent years have known a real explosion in research addressing different aspects of mobile communications signal processing. This area is continuously expanding with emerging applications and services such as interactive multimedia and Inteet. SP has to meet the new challenges presented to future mobile communication systems such as very low bit error rates, very high transmission rates, real-time multimedia access, and differential quality of service (QoS).
Today’s publications in this area are scattered worldwide across multiple jouals and conference proceedings. Like any other discipline that seeks to reach maturity, nowis the time for mobile communications signal processing to be presented to the readers in a comprehensive way and in one single book that stands by itself. This book brings together most SP techniques, delivering, for the first time in the history of SP, an in-depth survey of these techniques in a tutorial style.
The book is supported with more than 300 figures and tables, which makes it very easy to understand and accessible to students, researchers, professors, engineers, managers, and any professional involved in mobile communications.
The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks. In addition to wireless terrestrial communications, the book covers most applications areas of mobile communications signal processing, such as satellite mobile communications, networking, power control and resource management, voice over IP, positioning and geolocation, cross-layer design and adaptation, etc.
Part I: Introduction.
Signal Processing for Future Mobile Communications Systems: Challenges and Perspectives.
Part II: Channel Modeling and Estimation.
Multipath Propagation Models for Broadband Wireless Systems.
Modeling and Estimation of Mobile Channels.
Mobile Satellite Channels: Statistical Models and Performance Analysis.
Mobile Velocity Estimation for Wireless Communications.
Part III: Modulation Techniques for Wireless Communications.
Adaptive Coded Modulation for Transmission over Fading Channels.
Signaling Constellations for Transmission over Nonlinear Channels.
Carrier Frequency Synchronization for OFDM Systems.
Filter-Bank Modulation Techniques for Transmission over Frequency-Selective Channels.
Part IV: Multiple Access Techniques.
Spread-Spectrum Techniques for Mobile Communications.
Multiuser Detection for Fading Channels.
Part V: MIMO Systems.
Principles of MIMO-OFDMWireless Systems.
Space–Time Coding and Signal Processing for Broadband Wireless Communications.
Linear Precoding for MIMO Systems.
Performance Analysis of Multiple Antenna Systems.
Part VI: Equalization and Receiver Design.
Equalization Techniques for Fading Channels.
Low-Complexity Diversity Combining Schemes for Mobile Communications.
Overview of Equalization Techniques for MIMO Fading Channels.
Neural Networks for Transmission over Nonlinear Channels.
Part VII: Voice over IP.
Voice over IP and Wireless: Principles and Challenges.
Part VIII: Wireless Geolocation Techniques.
Geolocation Techniques for Mobile Radio Systems.
Adaptive Arrays for GPS Receivers.
Part IX: Power Control and Wireless Networking.
Transmitter Power Control in Wireless Networking: Basic Principles and Core Algorithms.
Signal Processing for Multiaccess Communication Networks.
Part X: Emerging Techniques and Applications.
Time–Frequency Signal Processing for Wireless Communications.
Monte Carlo Signal Processing for Digital Communications: Principles and Applications.
Principles of Chaos Communications.
Adaptation Techniques and Enabling Parameter Estimation Algorithms for Wireless Communications Systems.
Signal processing (SP) is a key research area in mobile communications. The recent years have known a real explosion in research addressing different aspects of mobile communications signal processing. This area is continuously expanding with emerging applications and services such as interactive multimedia and Inteet. SP has to meet the new challenges presented to future mobile communication systems such as very low bit error rates, very high transmission rates, real-time multimedia access, and differential quality of service (QoS).
Today’s publications in this area are scattered worldwide across multiple jouals and conference proceedings. Like any other discipline that seeks to reach maturity, nowis the time for mobile communications signal processing to be presented to the readers in a comprehensive way and in one single book that stands by itself. This book brings together most SP techniques, delivering, for the first time in the history of SP, an in-depth survey of these techniques in a tutorial style.
The book is supported with more than 300 figures and tables, which makes it very easy to understand and accessible to students, researchers, professors, engineers, managers, and any professional involved in mobile communications.
The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks. In addition to wireless terrestrial communications, the book covers most applications areas of mobile communications signal processing, such as satellite mobile communications, networking, power control and resource management, voice over IP, positioning and geolocation, cross-layer design and adaptation, etc.
Part I: Introduction.
Signal Processing for Future Mobile Communications Systems: Challenges and Perspectives.
Part II: Channel Modeling and Estimation.
Multipath Propagation Models for Broadband Wireless Systems.
Modeling and Estimation of Mobile Channels.
Mobile Satellite Channels: Statistical Models and Performance Analysis.
Mobile Velocity Estimation for Wireless Communications.
Part III: Modulation Techniques for Wireless Communications.
Adaptive Coded Modulation for Transmission over Fading Channels.
Signaling Constellations for Transmission over Nonlinear Channels.
Carrier Frequency Synchronization for OFDM Systems.
Filter-Bank Modulation Techniques for Transmission over Frequency-Selective Channels.
Part IV: Multiple Access Techniques.
Spread-Spectrum Techniques for Mobile Communications.
Multiuser Detection for Fading Channels.
Part V: MIMO Systems.
Principles of MIMO-OFDMWireless Systems.
Space–Time Coding and Signal Processing for Broadband Wireless Communications.
Linear Precoding for MIMO Systems.
Performance Analysis of Multiple Antenna Systems.
Part VI: Equalization and Receiver Design.
Equalization Techniques for Fading Channels.
Low-Complexity Diversity Combining Schemes for Mobile Communications.
Overview of Equalization Techniques for MIMO Fading Channels.
Neural Networks for Transmission over Nonlinear Channels.
Part VII: Voice over IP.
Voice over IP and Wireless: Principles and Challenges.
Part VIII: Wireless Geolocation Techniques.
Geolocation Techniques for Mobile Radio Systems.
Adaptive Arrays for GPS Receivers.
Part IX: Power Control and Wireless Networking.
Transmitter Power Control in Wireless Networking: Basic Principles and Core Algorithms.
Signal Processing for Multiaccess Communication Networks.
Part X: Emerging Techniques and Applications.
Time–Frequency Signal Processing for Wireless Communications.
Monte Carlo Signal Processing for Digital Communications: Principles and Applications.
Principles of Chaos Communications.
Adaptation Techniques and Enabling Parameter Estimation Algorithms for Wireless Communications Systems.