An Improved LLR Approximation Algorithm for Low-Complexity MIMO Detection Towards Green Communications

Provided by: Xian Feng Inc.
Topic: Networking
Format: PDF
As the number of transmit/receive antennas gets large in wireless communication systems, the drastically increasing complexity in MIMO detection imposes significant challenges in implementing green communications while achieving high spectral efficiency. The Winner-Path-Extension (WPE) K-best algorithm is an efficient detection algorithm in uncoded MIMO systems, known for its stable throughput and excellent Symbol-Error-Rate (SER) and Bit-Error-Rate (BER) performances under relatively low complexity. However, when applying the WPE K-best algorithm into coded MIMO systems, where soft-output information such as Log-Likelihood Ratio (LLR) is required, missing counter-hypotheses issue in LLR calculation often degrades the error performance.

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