User/sampling point selection algorithm in multiuser MIMO-OFDM with fractional sampling

Kenta Eguchi, Haruki Higuchi, Yukitoshi Sanada

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

Abstract

This paper presents a user/sampling point selection algorithm for a multiuser MIMO-OFDM system with Fractional Sampling (FS). Through FS, it is possible to separate multipath components and obtain diversity gain in an OFDM system. Therefore, the capacity of the multiuser MIMO-OFDM system increases by 1-2 bit/sec/Hz. This paper also proposes a suboptimum sampling point selection algorithm. It is shown that the suboptimal algorithm shows the capacity close to that of the optimal one. However, when the oversampling ratio increases, the difference on the capacity also grows. Thus, there is a tradeoff between the computational complexity and the capacity improvement.

Original languageEnglish
Title of host publicationISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications
Pages656-661
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010 - Taichung, Taiwan, Province of China
Duration: 2010 Oct 172010 Oct 20

Publication series

NameISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications

Other

Other2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010
Country/TerritoryTaiwan, Province of China
CityTaichung
Period10/10/1710/10/20

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

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