Symbol based rate adaptation in coded MIMO-OFDM systems

Chang Kyung Sung, Inkyu Lee

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

Abstract

The use of space-division multiple access (SDMA) in the downlink of multiuser multi-input/multi-output (MIMO) wireless transmission systems can provide substantial gains in system throughput. When the channel state information (CSI) is available at the transmitter, a considerable performance improvement can be attained by adapting the transmission rates to the reported CSI. In addition, to combat frequency selective fadings in wideband wireless channels, bit-interleaved coded OFDM (BIC-OFDM) modulation schemes are employed to provide reliable packet delivery by utilizing frequency diversity through channel coding. In this paper, we propose an adaptive modulation and coding (AMC) scheme combined with an opportunistic scheduling technique for the MIMO BIC-OFDM with bandwidth-limited feedback channels. The proposed scheme enhances the link performance by exploiting both the frequency diversity and the multiuser diversity. To reduce the feedback information, the proposed AMC scheme employs rate adaptation methods based on an OFDM symbol rather than on the whole subchannels. Simulation results show that the proposed scheme exhibits a substantial performance gain with a reasonable complexity over single antenna systems.

Original languageEnglish
Title of host publication2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
Pages2078-2082
Number of pages5
Publication statusPublished - 2006
Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
Duration: 2006 May 72006 Jul 10

Publication series

NameIEEE Vehicular Technology Conference
Volume5
ISSN (Print)1550-2252

Other

Other2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
Country/TerritoryAustralia
CityMelbourne
Period06/5/706/7/10

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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