Title :
Low-complexity receivers for multiuser detection with an unknown number of active users
Author :
Angelosante, Daniele ; Biglieri, Ezio
Author_Institution :
DAEIMI, Univ. di Cassino, Cassino
fDate :
March 31 2008-April 4 2008
Abstract :
In multiuser detection, the set of users active at any time may be unknown to the receiver. A two-step detection procedure, in which multiuser detection is preceded by active-user identification, is suboptimum. The optimum solution consists of detecting simultaneously the set of active users and their data, problem that can be solved exactly by applying random-set theory (RST). However, implementation of optimum detectors can be limited by their complexity, which grows exponentially with the number of potential users. In this paper we illustrate how the complexity of optimum can be reduced. In particular, sphere detection (SD) techniques (possibly in an approximate version) are examined.
Keywords :
multiuser detection; receivers; set theory; active-user identification; low-complexity receivers; multiuser detection; random-set theory; sphere detection techniques; two-step detection procedure; Complexity theory; Detection algorithms; Detectors; Estimation theory; Maximum likelihood estimation; Multiuser detection; Parameter estimation; Signal detection; Stochastic processes; Tree graphs; Bayes procedures; Complexity theory; Signal detection; Stochastic processes;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518401