Open AccessHybrid SNR ‐Adaptive Multiuser Detectors for SDMA ‐ OFDM Systems
Author(s) -
Yeşilyurt Uğur,
Ertuğ Özgür
Publication year - 2018
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.2017-0043
Subject(s) - multiuser detection , orthogonal frequency division multiplexing , computational complexity theory , single antenna interference cancellation , minimum mean square error , detector , computer science , bit error rate , algorithm , channel (broadcasting) , space division multiple access , interference (communication) , electronic engineering , mathematics , telecommunications link , telecommunications , engineering , statistics , estimator
Multiuser detection ( MUD ) and channel estimation techniques in space‐division multiple‐access aided orthogonal frequency‐division multiplexing systems recently has received intensive interest in receiver design technologies. The maximum likelihood ( ML ) MUD that provides optimal performance has the cost of a dramatically increased computational complexity. The minimum mean‐squared error ( MMSE ) MUD exhibits poor performance, although it achieves lower computational complexity. With almost the same complexity, an MMSE with successive interference cancellation ( SIC ) scheme achieves a better bit error rate performance than a linear MMSE multiuser detector. In this paper, hybrid ML ‐ MMSE with SIC adaptive multiuser detection based on the joint channel estimation method is suggested for signal detection. The simulation results show that the proposed method achieves good performance close to the optimal ML performance at low SNR values and a low computational complexity at high SNR values.