MIMO wireless communications over generalized fading channels

✍ Scribed by Brijesh Kumbhani, Rakhesh Singh Kshetrimayum

• Publisher: CRC Press;Taylor & Francis
• Year: 2017
• Tongue: English
• Leaves: 290
• Edition: 1
• Category: Library

✦ Synopsis

MIMO systems have been known to better the quality of service for wireless communication systems. This book discusses emerging techniques in MIMO systems to reduce complexities and keep benefits unaffected at the same time. It discusses about benefits and shortcomings of various MIMO technologies like spatial multiplexing, space time coding, spatial modulation, transmit antenna selection and various power allocation schemes to optimize the performance. Crux of the book is focus on MIMO communication over generalized fading channels as they can model the propagation of signals in a non-homogeneous environment. Relevant MATLAB codes are also included in the appendices. Book is aimed at graduate students and researchers in electronics and wireless engineering specifically interested in electromagnetic theory, antennas and propagation, future wireless systems, signal processing.

✦ Table of Contents

Content: 1. Introduction to MIMO SystemsEvolution of MIMO systemsMIMO system and channel models Open loop MIMO systemsClosed loop MIMO systems2. Generalized Fading ChannelsIntroduction Introduction to fading channels Commonly used fading distributionsGeneralized fading distributionsGeneration of channel coefficients3. Spatial MultiplexingIntroductionDiversity multiplexing trade-off and the capacity of MIMO systemsSpatial multiplexingNakagami-m fading channel model for spatially multiplexed systemsSpatial multiplexing over η â fading channelsSpatial multiplexing over κ â fading channelsSpatial multiplexing over α â fading channelsAcknowledgements4. Spatial ModulationIntroductionSM transmission reception schemesPerformance analysis of SM MIMO systemsPerformance of SM systems over Nakagami-m fading channelsError performance of SM systems over κ â fading channelsError performance of SM systems over η â fading channelsError performance of SM systems over α â fading channelsGeneralized spatial modulation5. Transmit Antenna SelectionIntroductionAntenna selection criteriaTAS system modelTAS over Nakagami-m fading channelsTAS over κ â fading channelsTAS over η â fading channels TAS over α â fading channels6. Space Time Block Coded MIMO SystemsIntroductionSTBC design criteriaGenerator matrix for STBC designSTBC detectionSTBC systems over Nakagami-m fading channelsSTBC systems over κ â fading channelsSTBC systems over η â fading channelsSTBC systems over α â fading channels7. MIMO for 5G Mobile CommunicationsMultiuser MIMOMassive MIMO mmWave massive MIMOAcknowledgementsDevice-to-device communication for internet of things Large scale MIMO systemsA. AppendixParameters for various modulation schemesApproximation of Gaussian Q functionDetailed solution for (5.95)CDF of Nakagami-m distributed SNR MGF of Nakagami-m distributed SNRCDF of κ â distributed SNR MGF of κ â distributed SNRCDF of η â distributed SNRMGF of η â distributed SNR CDF of α â distributed SNR B MATLAB codes for generating resultsMATLAB scripts for plotting PDF of envelope and SNR of generalized fading channels and verification by generating channel coefficientsMATLAB functions for generating channel coefficients of generalized fading channelsMATLAB functions for evaluating MGF of received SNR after MRCMATLAB script for SER of spatially multiplexed MIMO systemMATLAB script for SER of SM MIMO systemMATLAB script for SER of 2 x 2 Alamouti STBC MIMO sys-temMATLAB script for SER of TAS MIMO system with MRC atthe receiverBibliographyIndex

✦ Subjects

MIMO systems.;Radio -- Transmitters and transmission -- Fading.