Reduced Complexity Schnorr–Euchner Decoding Algorithms for MIMO Systems

Abstract

A new reduced-complexity Schnorr-Euchner decoding algorithm is proposed in this letter for uncoded multi-input multi-output systems with q-QAM (q=4,16,...) modulation. Furthermore, a Fano-like metric bias is introduced to the algorithm from the perspective of sequential decoding, as well as an early termination technique. Simulation results show that these modifications reduce the algorithm complexity efficiently, with only a small degradation in bit error rate at high signal to noise ratios.