Title :
Space-time multiuser detectors for TDD-UTRA: design and optimization
Author :
Beretta, M. ; Colamonico, A. ; Nicoli, M. ; Rampa, V. ; Spagnolini, U.
Author_Institution :
DEI, Politecnico di Milano, Milan, Italy
fDate :
6/23/1905 12:00:00 AM
Abstract :
Linear multiuser detection (MUD) for frequency selective channels has always been considered a prohibitive computational task in CDMA systems. In time slotted CDMA, the block-type MUD involves the inversion of a large matrix that depends on the block size and on the number of users. Sub-optimal techniques are computationally efficient but show some performance degradation. The reduced complexity detectors can be either block-type or one-shot. Compared to one-shot approximation of MUD, the block-type detectors have less computational complexity and large latency. However, the tracking of channel variations within the block is not feasible with any block-type processing (e.g., for the adaptive receiver). These compelling aspects force us to use a one-shot MUD algorithm for space-time channels such as the sliding window decorrelator (SWD). Block-based MUD and SWD algorithms for TDD-UTRA systems are compared in terms of performance, computational complexity, parallelism and hardware implementation.
Keywords :
cellular radio; code division multiple access; computational complexity; decorrelation; matched filters; multiuser channels; radio access networks; signal detection; time division multiplexing; CDMA systems; TDD-UTRA; computational complexity; frequency selective channels; hardware implementation; linear multiuser detection; one-shot multiuser detection; optimization; parallelism; sliding window decorrelator; space-time channels; space-time multiuser detectors; Computational complexity; Decorrelation; Degradation; Delay; Design optimization; Detectors; Frequency; Multiaccess communication; Multiuser detection; Parallel processing;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th
Print_ISBN :
0-7803-7005-8
DOI :
10.1109/VTC.2001.956623