Abstract
In this letter, considering the multiuser detection from a combinatorial optimization viewpoint, we propose a multiuser detector based on the tabu learning method, which applies the concept of tabu search to neural networks for solving optimization problems. The performance of the proposed detector is demonstrated through computer simulations.
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