Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Takeuchi K, Vehkapera M, Tanaka T, Müller R
Zeitschrift: Journal of Systems Science & Complexity
Verlag: Springer Verlag (Germany)
Jahr der Veröffentlichung: 2010
Band: 23
Heftnummer: 1
Seitenbereich: 22-34
ISSN: 1009-6124


Abstract


This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions. © 2010 Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg.



FAU-Autoren / FAU-Herausgeber

Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung


Autor(en) der externen Einrichtung(en)
Kyoto University / 京都大学 Kyōto daigaku
NTNU Trondheim - Norwegian University of Science and Technology
University of Electro-Communications / 電気通信大学 (Denki-Tsūshin Daigaku)


Zitierweisen

APA:
Takeuchi, K., Vehkapera, M., Tanaka, T., & Müller, R. (2010). Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel. Journal of Systems Science & Complexity, 23(1), 22-34. https://dx.doi.org/10.1007/s11424-010-9278-z

MLA:
Takeuchi, Keigo, et al. "Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel." Journal of Systems Science & Complexity 23.1 (2010): 22-34.

BibTeX: 

Zuletzt aktualisiert 2018-25-10 um 21:50