Large-System Analysis of Joint Channel and Data Estimation for MIMO DS-CDMA Systems
2012 (English)In: IEEE Transactions on Information Theory, ISSN 0018-9448, Vol. 58, no 3, 1385-1412 p.Article in journal (Refereed) Published
This paper presents a large-system analysis of the performance of joint channel estimation, multiuser detection, and per-user decoding (CE-MUDD) for randomly spread multiple-input multiple-output (MIMO) direct-sequence code-division multiple-access (DS-CDMA) systems. A suboptimal receiver based on successive decoding in conjunction with linear minimum mean-squared error (LMMSE) channel estimation is investigated. The replica method, developed in statistical mechanics, is used to evaluate the performance in the large-system limit, where the number of users and the spreading factor tend to infinity while their ratio and the number of transmit and receive antennas are kept constant. Joint CE-MUDD based on LMMSE channel estimation is compared to several methods of one-shot channel estimation, i.e., methods that do not utilize decoded data symbols to refine the initial channel estimates, in terms of spectral efficiency. Joint CE-MUDD is found to significantly reduce the rate loss caused by transmission of pilot signals when compared to the receivers based on one-shot channel estimation. This holds particularly for multiple-antenna systems. As a result, joint CE-MUDD can provide significant performance gains compared to the receivers based on one-shot channel estimation.
Place, publisher, year, edition, pages
2012. Vol. 58, no 3, 1385-1412 p.
Channel estimation, direct-sequence code-division multiple-access (DS-CDMA) schemes, iterative receivers, large-system analysis, linear minimum mean-squared error (LMMSE) estimation, multiple-input multiple-output (MIMO) systems, multiuser detection (MUD), replica method, statistical mechanics, successive decoding
Signal Processing Telecommunications
IdentifiersURN: urn:nbn:se:kth:diva-77850DOI: 10.1109/TIT.2011.2177757ISI: 000300845900009ScopusID: 2-s2.0-84863229510OAI: oai:DiVA.org:kth-77850DiVA: diva2:492140
FunderICT - The Next Generation
QC 201208012012-02-072012-02-072013-04-11Bibliographically approved