You are viewing content intended for a different location. This may affect your ability to shop online.

Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Large MIMO Systems

Large MIMO Systems

Large MIMO Systems

Authors:
A. Chockalingam, Indian Institute of Science, Bangalore
B. Sundar Rajan, Indian Institute of Science, Bangalore
Published:
February 2014
Availability:
Available
Format:
Hardback
ISBN:
9781107026650

Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

$179.00 (C) USD
Hardback
$179.00 (Z) USD
eBook

    Large MIMO systems, with tens to hundreds of antennas, are a promising emerging communication technology. This book provides a unique overview of this technology, covering the opportunities, engineering challenges, solutions and state of the art of large MIMO test beds. There is in-depth coverage of algorithms for large MIMO signal processing, based on meta-heuristics, belief propagation and Monte Carlo sampling techniques, and suited for large MIMO signal detection, precoding and LDPC code designs. The book also covers the training requirement and channel estimation approaches in large-scale point-to-point and multi-user MIMO systems; spatial modulation is also included. Issues like pilot contamination and base station cooperation in multi-cell operation are addressed. A detailed exposition of MIMO channel models, large MIMO channel sounding measurements in the past and present, and large MIMO test beds is also presented. An ideal resource for academic researchers, next generation wireless system designers and developers, and practitioners in wireless communications.

    • Unique in-depth coverage of the opportunities, technological challenges, solutions and state of the art in large MIMO systems
    • A consolidated state-of-the-art reference, providing a well-rounded overview of the field
    • In-depth treatment of advanced algorithms and techniques from meta-heuristics and machine learning for large MIMO signal processing, aiding research and development
    • Written by pioneers in this emerging area, this text conveys firsthand research experience and recent developments

    Product details

    • Published: February 2014
    • Format: Hardback
    • ISBN: 9781107026650
    • Length: 329 pages
    • Dimensions: 252 × 180 × 20 mm
    • Weight: 0.8kg
    • Contains: 116 b/w illus. 17 tables
    • Availability: Available

    Table of Contents

    • 1. Introduction
    • 2. Large MIMO systems
    • 3. MIMO encoding
    • 4. MIMO detection
    • 5. Detection based on local search
    • 6. Detection based on probabilistic data association
    • 7. Detection/decoding based on message passing on graphical models
    • 8. Detection based on MCMC techniques
    • 9. Channel estimation in large MIMO systems
    • 10. Precoding in large MIMO systems
    • 11. MIMO channel models
    • 12. Large MIMO test beds.

    Authors

    A. Chockalingam , Indian Institute of Science, Bangalore

    A. Chockalingam is a professor in the Department of Electrical Communication Engineering, Indian Institute of Science (IISc), Bangalore, India. He has made pioneering contributions in the area of low-complexity near-optimal signal detection in large MIMO systems. He is a recipient of the Swarnajayanti Fellowship from the Department of Science and Technology, Government of India, and a Fellow of the Indian National Academy of Engineering (INAE), the National Academy of Sciences, India (NASI) and the Indian National Science Academy (INSA).

    B. Sundar Rajan , Indian Institute of Science, Bangalore

    B. Sundar Rajan is a professor in the Department of Electrical Communication Engineering, Indian Institute of Science (IISc), Bangalore, India. He is a well-known authority in the area of space-time coding for MIMO channels and distributed space-time coding, and a leading expert in the design of space-time codes based on algebraic techniques. He is a recipient of the Professor Rustum Choksi Award from IISc for excellence in research in engineering, and a Fellow of the Indian National Academy of Engineering (INAE), the National Academy of Sciences, India (NASI), the Indian National Science Academy (INSA) and the Indian Academy of Sciences (IASc).