TY - GEN ID - discovery10086611 N2 - In this paper, we report on the design of a Complexity-Reduced Maximum Likelihood (CRML) detector for DFT-spread Spectrally Efficient Frequency Division Multiplexing (DFT-s-SEFDM) systems. DFT-s-SEFDM systems are similar to DFT-spread Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) systems, yet offer improved spectral efficiency. Simulation results demonstrate that the CRML detector can achieve the same bit error rate (BER) performance as the ML detector in DFT-s-SEFDM systems at reduced computational complexity. Specifically, compared to a conventional ML detector, it is shown that CRML can decrease the search region by up to 2^{M} times where M denotes the constellation cardinality. Depending on parameter configuration, CRML can offer up to two orders of magnitude improvement in execution runtime performance. CRML is best-suited to applications with small system sizes, for example, in narrowband Internet of Things (NB-IoT) networks. PB - IEEE UR - https://doi.org/10.23919/EUSIPCO.2019.8902942 KW - SEFDM KW - DFT-s-SEFDM KW - BER KW - maximum-likelihood (ML) KW - reduced complexity detector KW - NB-IoT A1 - Wu, T A1 - Grammenos, R TI - Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems Y1 - 2019/11/18/ AV - public N1 - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions. ER -