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ICC
2007
IEEE

Turbo Multiuser Detection Based on Local Search Algorithms

13 years 10 months ago
Turbo Multiuser Detection Based on Local Search Algorithms
—The full-complexity soft-input/soft-output (SISO) multiuser detector based on the a posteriori probability (APP) algorithm has a computational complexity growing exponentially with the number of users. In this paper, we consider the multiuser detection problem from a combinatorial optimization viewpoint and develop a novel class of SISO multiuser detectors based on local search (LS) heuristics. By restricting the search to a small subset of the solution space and producing the APP based on a candidate list of potential solutions, the proposed detector can achieve bit-error-rate (BER) performance close to that of the APP algorithm with a significantly lower computational complexity. Keywords—Coded CDMA, list decoding, local search, multiuser detection, soft-input/soft-output
Zhiliang Qin, Kui Cai, Xiaoxin Zou
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where ICC
Authors Zhiliang Qin, Kui Cai, Xiaoxin Zou
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