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7 - Multiuser MIMO systems

Published online by Cambridge University Press:  07 October 2011

Hong-Chuan Yang
Affiliation:
University of Victoria, Canada
Mohamed-Slim Alouini
Affiliation:
King Abdullah University of Science and Technology, Saudi Arabia
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Summary

Introduction

Multiple-antenna transmission and reception (i.e. MIMO) techniques can considerably improve the performance and/or effciency of wireless communication systems. First introduced in mid 1990s [1, 2], MIMO technique has been an area of active research and has found applications in various emerging wireless systems. Most of early MIMO designs focus on point-to-point link where both transmitter and receiver have multiple antennas and demonstrate the huge potential of MIMO techniques in terms of providing array gain, spatial diversity gain, spatial multiplexing gain and interference reduction capability, among many others [3–5]. Meanwhile, most mobile receivers will possess less antennas than the base stations in the near future due to their size/cost constraints. In such scenarios, the capacity of a point-to-point link between the base station and a mobile will be limited by the number of antennas at the mobile. On the other hand, if we consider the antennas of different receivers together, a virtual MIMO system is formed with huge capacity potential [6–10]. The design and analysis of effcient transmission strategy for resulting multiuser MIMO systems is the subject of this chapter.

A rich literature on MIMO wireless communications already exists. There has already been a rich literature on MIMO wireless communications. Several books have been published on this general subject (see for example [11,12]). This chapter complements existing literature on MIMO wireless communications by focusing on the different multiuser scheduling schemes for multiuser MIMO systems. In general, the downlink transmission from the base station to mobile receivers is more challenging in the multiuser MIMO system, as mobile users are randomly distributed and cannot perform joint detection.

Type
Chapter
Information
Order Statistics in Wireless Communications
Diversity, Adaptation, and Scheduling in MIMO and OFDM Systems
, pp. 193 - 244
Publisher: Cambridge University Press
Print publication year: 2011

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  • Multiuser MIMO systems
  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book: Order Statistics in Wireless Communications
  • Online publication: 07 October 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139043328.009
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  • Multiuser MIMO systems
  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book: Order Statistics in Wireless Communications
  • Online publication: 07 October 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139043328.009
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Multiuser MIMO systems
  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book: Order Statistics in Wireless Communications
  • Online publication: 07 October 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139043328.009
Available formats
×