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- W2121673827 abstract "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." @default.
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- W2121673827 date "2007-06-01" @default.
- W2121673827 modified "2023-09-23" @default.
- W2121673827 title "Turbo Multiuser Detection Based on Local Search Algorithms" @default.
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- W2121673827 doi "https://doi.org/10.1109/icc.2007.992" @default.
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