Reduced complexity k-best decoder via adaptive symbol constellation for Uncoded MIMO wireless systems

In this paper, we present a low and variable computation complexity decoder based on K-Best for uncoded detection in spatially multiplexed MIMO systems. In the variable complexity K-Best (VKB), the detection of each symbol is carried out using only a symbol constellation of variable size. This symbol constellation is obtained by considering the channel properties and a given target SNR. Simulations show that the proposed technique almost matches the performance of the original K-Best decoder. Moreover, it is able to reduce the average computation complexity by at least 75%25 in terms of the number of visited nodes. © 2017 The Institute of Electronics, Information and Communication Engineers.

Complexity; K-Best decoder; Maximum likelihood; MIMO wireless communications Decoding; Maximum likelihood; Signal to noise ratio; Channel property; Complexity; Computation complexity; Reduced complexity; Spatially multiplexed MIMO system; Variable sizes; Wireless communications; Wireless systems; MIMO systems

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