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Optimal rate allocation for Group Zero Forcing

Sana Sfar, Lin Dai, Khaled B. Letaief*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

MIMO systems have been shown to provide significant performance gains over traditional single antennas systems that fall in two categories: diversify and multiplexing rate. A tradeoff between these gains was recently put in evidence and has been quantified with the optimal detection. In this paper, we consider the evaluation of such tradeoff when group detection is applied and particularly when the Group Zero Forcing (GZF) receiver structure is considered. To do so, we will define and evaluate the outage probability per group and derive the tradeoff obtained by each of the groups. The overall system tradeoff will be then given by the minimum group tradeoff performance. Optimal rate allocation will also be proposed so as to maximize GZF tradeoff performance. Comparison for a given group partition, with equal rate allocation will show that optimal rate allocation allows us to both maximize the diversity and the multiplexing rate of GZF. Furthermore, considering a fixed number of antennas, we will find the minimum required number of groups for a given tradeoff level, as well as, the optimal group partition that maximizes the system tradeoff. Numerical results will demonstrate the optimality of this scheme. Significant diversity gains will be put in evidence demonstrating that GZF can efficiently bridge the gap between BLAST and the optimal receiver while offering lower levels of complexity. © 2004 IEEE.
Original languageEnglish
Title of host publicationGLOBECOM '04 - IEEE Global Telecommunications Conference
PublisherIEEE
Pages371-375
Volume1
ISBN (Print)0-7803-8794-5
DOIs
Publication statusPublished - Nov 2004
Externally publishedYes
Event2004 IEEE Global Telecommunications Conference (GLOBECOM'04) - Dallas, TX, United States
Duration: 29 Nov 20043 Dec 2004

Conference

Conference2004 IEEE Global Telecommunications Conference (GLOBECOM'04)
PlaceUnited States
CityDallas, TX
Period29/11/043/12/04

Research Keywords

  • Channel capacity
  • Channel multivariate statistics distribution
  • Diversity-Multiplexing tradeoff
  • Group detection
  • MIMO systems

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