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Low Complexity MIMO Receivers

  • Book
  • © 2014

Overview

Authors:
  1. Lin Bai

    1. Beihang University, Beijing, China

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  2. Jinho Choi

    1. School of Information and Communications, Gwangiu Institute of Science and Technology (GIST), Gwangiu, Korea, Republic of (South Korea)

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  3. Quan Yu

    1. Institute of China Electronic System Engineering, Beijing, China

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  • Introduces the use of lattice reduction in MIMO receiver design

  • Examines implementation of MIMO hardware and lattice reduction techniques

  • Investigates LR-based MIMO iterative receiver from a stochastic aspect

  • Includes supplementary material: sn.pub/extras

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxvi
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  2. Introduction

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 1-4

  3. Signal Processing at Receivers: Detection Theory

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 5-28

  4. MIMO Detection: Vector Space Signal Detection

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 29-50

  5. Successive Interference Cancellation-Based MIMO Detection

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 51-90

  6. Lattice Reduction-Based MIMO Detection

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 91-141

  7. MIMO Iterative Receivers

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 143-174

  8. Bit-Wise MIMO-BICM-ID Using Lattice Reduction

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 175-193

  9. Randomized Sampling-Based MIMO Iterative Receivers

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 195-214

  10. Iterative Channel Estimation and Detection

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 215-231

  11. Multiuser and Multicell MIMO Systems: The Use of Lattice Reduction

    • Lin Bai, Jinho Choi, Quan Yu
    Pages 233-283

  12. Back Matter

    Pages 285-296
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Keywords

About this book

Multiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be prohibitively high. As an efficient mathematical tool to devise low complexity approaches that mitigate the interference in MIMO systems, lattice reduction (LR) has been widely studied and employed over the last decade. The co-authors of this book are world's leading experts on MIMO receivers, and here they share the key findings of their research over years. They detail a range of key techniques for receiver design as multiple transmitted and received signals are available. The authors first introduce the principle of signal detection and the LR in mathematical aspects. They then move on to discuss the use of LR in low complexity MIMO receiver design with respect to different aspects, including uncoded MIMO detection, MIMO iterative receivers, receivers in multiuser scenarios, and multicell MIMO systems.

Authors and Affiliations

  • Beihang University, Beijing, China

    Lin Bai

  • School of Information and Communications, Gwangiu Institute of Science and Technology (GIST), Gwangiu, Korea, Republic of (South Korea)

    Jinho Choi

  • Institute of China Electronic System Engineering, Beijing, China

    Quan Yu

About the authors

Dr. Lin Bai is an Associate Professor at School of Electronic and Information Engineering, Beihang University (University of Aeronautics and Astronautics, BUAA), Beijing, China.

Prof. Jinho Choi researches and teaches at Gwangju Institute of Science and Technology in South Korea.

Prof. Quan Yu is a Research Fellow at the Institute of China Electronic System Engineering Corporation. He is an Academician of Chinese Academy of Engineering (CAE).

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