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MMSE Soft-Interference-Cancellation Aided Iterative Center-Shifting K-Best Sphere Detection for MIMO Channels

Record type: Conference or Workshop Item (Paper)

Based on an EXtrinsic Information Transfer (EXIT) chart-assisted receiver design, a low-complexity near-Maximum A Posteriori (MAP) detector is constructed for high-throughput systems. A high throughput is achieved by invoking high-order modulation schemes or multiple transmit antennas, while employing a novel sphere detector (SD) termed as a center-shifting SD scheme. The center-shifting SD is assisted by the MMSE soft-interference-cancellation (SIC-MMSE) algorithm. The resultant scheme is capable of attaining a considerable complexity reduction over the conventional SD-aided iterative benchmark receiver. For example, the SIC-MMSE center-shifting scheme may enable the iterative receiver to achieve a near-MAP performance in the challenging scenario of an (8x4)-element rank-deficient 4-QAM SDM/OFDM system. This near-MAP performance is achieved, despite imposing a reduced detection-candidate-list-generation-related complexity, which is about an order of magnitude lower than that exhibited by the list-SD dispensing with the proposed center-shifting scheme. As a further benefit, the computational complexity associated with the extrinsic LLR calculation was reduced by a factor of about 64. The associated memory requirements were also reduced by a factor of 64.

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Wang, Li, Xu, Lei, Chen, Sheng and Hanzo, Lajos (2008) MMSE Soft-Interference-Cancellation Aided Iterative Center-Shifting K-Best Sphere Detection for MIMO Channels At IEEE ICC'08, China. 19 - 23 May 2008. , pp. 3819-3823.

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Published date: May 2008
Additional Information: Event Dates: 19-23 May 2008
Venue - Dates: IEEE ICC'08, China, 2008-05-19 - 2008-05-23
Keywords: sphere detection, lattice decoding, MUD, MIMO Detection, low-complexity near-MAP, center-shifting
Organisations: Southampton Wireless Group


Local EPrints ID: 264523
PURE UUID: ac45b0ab-e1f9-4dc7-92a1-ef675ea2e9bb

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Date deposited: 17 Sep 2007
Last modified: 18 Jul 2017 07:35

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Author: Li Wang
Author: Lei Xu
Author: Sheng Chen
Author: Lajos Hanzo

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