Analysis of large MIMO DS-CDMA systems with imperfect CSI and spatial correlation

Mikko Vehkapera, Keigo Takeuchi, Ralf R. Müller, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

The large system analysis of randomly spread MIMO DS-CDMA systems is provided. Correlated Rayleigh fading MIMO channels are assumed for all users. Linear multiuser detection with separate decoding and pilot-aided channel estimation are used. The results imply that with channel estimation, the performance can improve significantly as the correlation between the transmit antennas increases. No channel information at the transmitter is required, but the channel estimator needs knowlegde of the long term transmit correlation in advance. The numerical results demonstrate that in a 4 × 4 MIMO DS-CDMA system with two users per chip, high antenna correlation at the transmitter can double the ergodic spectral efficiency compared to the case of uncorrelated transmit antennas.

Original languageEnglish
Title of host publication2010 IEEE International Symposium on Information Theory
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages2098-2102
ISBN (Electronic)978-1-4244-7891-0, 978-1-4244-7892-7
ISBN (Print)978-1-4244-7890-3
DOIs
Publication statusPublished - 23 Aug 2010
MoE publication typeA4 Article in a conference publication
Event2010 IEEE International Symposium on Information Theory, ISIT 2010 - Austin, TX, United States
Duration: 13 Jun 201018 Jun 2010

Publication series

SeriesIEEE International Symposium on Information Theory. Proceedings
Volume2010
ISSN2157-8095

Conference

Conference2010 IEEE International Symposium on Information Theory, ISIT 2010
CountryUnited States
CityAustin, TX
Period13/06/1018/06/10

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    Vehkapera, M., Takeuchi, K., Müller, R. R., & Tanaka, T. (2010). Analysis of large MIMO DS-CDMA systems with imperfect CSI and spatial correlation. In 2010 IEEE International Symposium on Information Theory (pp. 2098-2102). [5513401] IEEE Institute of Electrical and Electronic Engineers. IEEE International Symposium on Information Theory. Proceedings, Vol.. 2010 https://doi.org/10.1109/ISIT.2010.5513401