Open AccessIterative MMSE‐based soft MIMO detection with parallel interference cancellation
Author(s) -
Zhang Meixiang,
Ahmed Saleem,
Kim Sooyoung
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2016.1144
Subject(s) - single antenna interference cancellation , computer science , mimo , minimum mean square error , decoding methods , algorithm , computational complexity theory , interference (communication) , quadrature amplitude modulation , reduction (mathematics) , performance improvement , bit error rate , mathematics , telecommunications , channel (broadcasting) , statistics , geometry , operations management , estimator , economics
Minimum mean square error (MMSE)‐based techniques are often used for the joint iterative detection and decoding that is for coded multi‐input–multi‐output (MIMO) system due to a sound complexity and the performance trade‐off. This study proposes an enhanced MMSE‐based soft MIMO‐detection scheme by using three main ideas. The first idea is an efficient complexity‐reduced soft‐bit estimation technique, the second one is a performance improvement method utilised inside the MMSE detection process, and the third one is a complexity‐reduced soft‐symbol estimation method for quadrature amplitude modulation. The proposed ideas enable the interference‐cancellation processes to be activated in parallel on each symbol layer, thereby reducing the processing time. The simulation results show that the proposed method efficiently contributes to the improvement of the performance in addition to its reduction of the linear‐order complexity.