Low Complexity MIMO Receivers

  • Lin Bai
  • Jinho Choi
  • Quan Yu

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Lin Bai, Jinho Choi, Quan Yu
    Pages 1-4
  3. Lin Bai, Jinho Choi, Quan Yu
    Pages 5-28
  4. Lin Bai, Jinho Choi, Quan Yu
    Pages 29-50
  5. Lin Bai, Jinho Choi, Quan Yu
    Pages 51-90
  6. Lin Bai, Jinho Choi, Quan Yu
    Pages 91-141
  7. Lin Bai, Jinho Choi, Quan Yu
    Pages 143-174
  8. Lin Bai, Jinho Choi, Quan Yu
    Pages 175-193
  9. Lin Bai, Jinho Choi, Quan Yu
    Pages 195-214
  10. Lin Bai, Jinho Choi, Quan Yu
    Pages 215-231
  11. Lin Bai, Jinho Choi, Quan Yu
    Pages 233-283
  12. Back Matter
    Pages 285-296

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.


Coordinated Multipoint (CoMP) Interference Alignment Iterative Receiver Lattice Reduction MIMO Detection Multiple-Input Multiple-Output (MIMO) Multiuser MIMO systems Orthogonal Frequency Division Multiple Access (OFDMA) Successive Interference Cancellation (SIC) Underdetermined MIMO

Authors and affiliations

  • Lin Bai
    • 1
  • Jinho Choi
    • 2
  • Quan Yu
    • 3
  1. 1.Beihang UniversityBeijingChina
  2. 2.School of Information and CommunicationsGwangiu Institute of Science and Technology (GIST)GwangiuKorea, Republic of (South Korea)
  3. 3.Institute of China Electronic System EngineeringBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-04983-0
  • Online ISBN 978-3-319-04984-7
  • Buy this book on publisher's site
Industry Sectors
Finance, Business & Banking
IT & Software
Energy, Utilities & Environment
Oil, Gas & Geosciences