A semifixed complexity sphere decoder for uncoded symbols for wireless communications
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The development of high data rate wireless communications systems using Multiple Input-Multiple Output (MIMO) antenna techniques requires detectors with reduced complexity and good Bit Error Rate (BER) performance. In this paper, we present the Semi-fixed Complexity Sphere Decoder (SCSD), which executes the process of detection in MIMO systems with a significantly lower computation cost than the highperformance/ reduced-complexity detectors: Sphere Decoder (SD), K-best, Fixed Complexity Sphere Decoder (FSD) and Adaptive Set Partitioning (ASP). Simulation results show that when the Signal-to-Noise Ratio (SNR) is less than 15 dB, the SCSD reduces the complexity by up to 90%25 with respect to SD, up to 60%25 with respect to K-best or ASP and by up to 90%25 with respect to FSD. In the proposed algorithm, the BER performance does not show significant degradation and therefore, can be considered as a complexity reduction scheme suitable for implementing in MIMO detectors. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers.
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Complexity; Maximum likelihood; Multi-antenna systems; Sphere decoding; Wireless communications Antennas; Bit error rate; Decoding; Error statistics; Fading channels; Maximum likelihood; MIMO systems; Wireless telecommunication systems; Bit error rate (BER) performance; Complexity; Fixedcomplexity sphere decoder (FSD); High data-rate wireless communication; Multi-antenna systems; Multiple input multiple output antennas; Sphere decoding; Wireless communications; Signal to noise ratio
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