On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming

Taesang Yoo, Andrea Goldsmith

Research output: Contribution to journalArticlepeer-review

1546 Scopus citations

Abstract

Although the capacity of multiple-input/multiple-output (MIMO) broadcast channels (BCs) can be achieved by dirty paper coding (DPC), it is difficult to implement in practical systems. This paper investigates if, for a large number of users, simpler schemes can achieve the same performance. Specifically, we show that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC, as the number of users goes to infinity. In proving this asymptotic result, we provide an algorithm for determining which users should be active under ZFBF. These users are semiorthogonal to one another and can be grouped for simultaneous transmission to enhance the throughput of scheduling algorithms. Based on the user grouping, we propose and compare two fair scheduling schemes in round-robin ZFBF and proportional-fair ZFBF. We provide numerical results to confirm the optimality of ZFBF and to compare the performance of ZFBF and proposed fair scheduling schemes with that of various MIMO BC strategies.

Original languageEnglish (US)
Pages (from-to)528-541
Number of pages14
JournalIEEE Journal on Selected Areas in Communications
Volume24
Issue number3
DOIs
StatePublished - Mar 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Broadcast channel
  • Dirty paper coding (DPC)
  • Downlink scheduling
  • Fair scheduling
  • Imperfect channel state information (CSI)
  • Multiple-input/multiple- output (MIMO)
  • Multiple-input/multiple-output capacity
  • Multiuser diversity
  • Proportional fair

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