Book Description
Wireless Communications over MIMO Channels: Applications to CDMA and Multiple Antenna Systems covers both, state-of-the-art channel coding concepts and CDMA and multiple antenna systems, rarely found in other books on the subject.
Furthermore, an information theoretical analysis of CDMA and SDMA systems illuminate ultimate limits and demonstrates the high potential of these concepts. Besides spatial multiplexing, the use of multiple transmit antennas in order to increase the link reliability by diversity concepts (space-time coding) is described. Another focus is the application of error control coding in mobile radio communications
Accompanying appendices include: basic derivations, tables of frequently used channel models, chain rules for entropy and information, data processing theorem, basics of linear algebra, Householder reflection and Givens rotation, and the LLL algorithm for lattice reduction.
Furthermore, an information theoretical analysis of CDMA and SDMA systems illuminate ultimate limits and demonstrates the high potential of these concepts. Besides spatial multiplexing, the use of multiple transmit antennas in order to increase the link reliability by diversity concepts (space-time coding) is described. Another focus is the application of error control coding in mobile radio communications
Accompanying appendices include: basic derivations, tables of frequently used channel models, chain rules for entropy and information, data processing theorem, basics of linear algebra, Householder reflection and Givens rotation, and the LLL algorithm for lattice reduction.
Back Cover copy
Wireless Communications over MIMO Channels covers both CDMA and multiple antenna systems as well as state-of-the-art channel coding concepts, a combination rarely found in other books on the subject. A multitude of numerical and simulation results are provided, illuminating many different aspects of the discussed techniques. Two specific examples of MIMO systems studied are Code Division Multiple Access (CDMA) and multiple antenna systems.
An information theoretical analysis of these concepts illuminates ultimate limits and demonstrates their high potential. The use of multiple transmit antennas in order to improve the link reliability by diversity concepts (space-time coding) is described, along with Space Division Multiplexing (SDM) increasing the achievable data rate. A unified description using vector notations makes the similarity between CDMA and SDM systems obvious allowing the joint deployment of detection algorithms.
*Besides a unified description using vector notations, detection algorithms are derived that make the similarity of both systems obvious.
*Addresses the application of error control coding in mobile radio communications
*The text and mathematical derivations are well supported by figures and numerical examples
*For the example of a CDMA uplink, it is demonstrated that strong codes are an appropriate means to achieve high spectral efficiencies even in the presence of severe multi-user interference
*Accompanying appendices include: basic derivations, tables of frequently used channel models, chain rules for entropy and information, data processing theorem, basics of linear algebra, Householder reflection and Givens rotation, and the LLL algorithm for lattice reduction
This book will be an essential resource for undergraduate and postgraduate students, scientists and engineers in the fields of advanced digital communications, digital signal processing, communication networks and information theory.
An information theoretical analysis of these concepts illuminates ultimate limits and demonstrates their high potential. The use of multiple transmit antennas in order to improve the link reliability by diversity concepts (space-time coding) is described, along with Space Division Multiplexing (SDM) increasing the achievable data rate. A unified description using vector notations makes the similarity between CDMA and SDM systems obvious allowing the joint deployment of detection algorithms.
*Besides a unified description using vector notations, detection algorithms are derived that make the similarity of both systems obvious.
*Addresses the application of error control coding in mobile radio communications
*The text and mathematical derivations are well supported by figures and numerical examples
*For the example of a CDMA uplink, it is demonstrated that strong codes are an appropriate means to achieve high spectral efficiencies even in the presence of severe multi-user interference
*Accompanying appendices include: basic derivations, tables of frequently used channel models, chain rules for entropy and information, data processing theorem, basics of linear algebra, Householder reflection and Givens rotation, and the LLL algorithm for lattice reduction
This book will be an essential resource for undergraduate and postgraduate students, scientists and engineers in the fields of advanced digital communications, digital signal processing, communication networks and information theory.
