Abstract
© 2014 IEEE. For the spatially correlated multiuser MIMO-OFDM channels, the conventional iterative MMSE-SIC detection suffers from a considerable performance loss. In this paper, we use the factor graph framework to design robust detection algorithms by clustering a group of symbols to combat the spatial correlation and using the principle of expectation propagation to improve message passing. Furthermore, as the complexity of detection becomes one of the issues in the design of large-scale multiuser MIMO-OFDM systems, we propose a low-complexity approximate message-passing algorithm by opening the channel transition node, which eliminates the expensive matrix inversions involved in the MMSE-SIC based algorithms. Finally, numerical results are presented to verify the proposed algorithms.
Original language | English |
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Title of host publication | IEEE Wireless Communications and Networking Conference |
Place of Publication | Istanbul, Turkey |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 236-241 |
Volume | NA |
ISBN (Print) | 9781479930838 |
DOIs | |
Publication status | Published - 2014 |
Event | 2014 IEEE Wireless Communications and Networking Conference - Istanbul, Türkiye Duration: 6 Apr 2014 → 9 Apr 2014 |
Conference
Conference | 2014 IEEE Wireless Communications and Networking Conference |
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Abbreviated title | WCNC |
Country/Territory | Türkiye |
City | Istanbul |
Period | 6/04/14 → 9/04/14 |