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  -