An adaptive limited feedback scheme for MIMO-OFDMA based on optimal stopping

Jieying Chen*, Randall A. Berry, Michael L. Honig

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We propose and analyze a limited feedback scheme for downlink MIMO-OFDMA. Our analysis explicitly accounts for the feedback overhead by assuming a time division duplex system in which all feedback and data transmission must occur with a coherence time. As the fraction of coherence time devoted to feedback increases, the base station can allocate resources more efficiently, but has less time available for data transmission. In the proposed scheme, the base-station sequentially receives feedback from the users and decides when to stop receiving additional feedback and begin data transmission. Each user feeds back their best codeword (beam) selected from a beam-forming codebook on each group of OFDM sub-channels, provided that the channel gain exceeds a given threshold. For a given feedback threshold, the optimal stopping rule used by the base station is derived. With this rule we show that the total throughput of this scheme scales linearly with the number of users, provided that the number of OFDM sub-channels also scales with fixed ratio. The effect of varying the coherence time and feedback rate is also characterized.

Original languageEnglish (US)
Title of host publication46th Annual Allerton Conference on Communication, Control, and Computing
Pages139-145
Number of pages7
DOIs
StatePublished - 2008
Event46th Annual Allerton Conference on Communication, Control, and Computing - Monticello, IL, United States
Duration: Sep 24 2008Sep 26 2008

Publication series

Name46th Annual Allerton Conference on Communication, Control, and Computing

Other

Other46th Annual Allerton Conference on Communication, Control, and Computing
Country/TerritoryUnited States
CityMonticello, IL
Period9/24/089/26/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Control and Systems Engineering
  • Communication

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