Complex Gaussian belief propagation algorithms for distributed multicell multiuser MIMO detection

Yue, Ziqi and Guo, Qing and Xiang, Wei (2015) Complex Gaussian belief propagation algorithms for distributed multicell multiuser MIMO detection. In: IEEE Global Communications Conference (GLOBECOM 2014), 8-12 Dec 2014, Austin, TX. United States.

Abstract

In this paper, we considered a practical system where the number of base station antennas serving tens users is large but finite. The signal must be collected before detection, and the optimal maximum a posteriori (MAP) detector has high computational complexity that grows exponentially with the number of users. Even the suboptimal MMSE-SIC (soft interference cancellation) requires complexity proportional to the cube of the number of the antenna units. In this paper, we proposed a distributed detection scheme done at each antenna unit separately, termed complex Gaussian belief propagation algorithm (CGaBP), for multicell multi-user detection. The multiuser detection problem is reduced to a sequence of scalar estimations, and detecting each individual user using CGaBP is asymptotically equivalent to detecting the same user through a scalar additive Gaussian channel with some degradation in the signal-to-noise ratio (SNR) of the desired user due to the collective impact of interfering users. The degradation is determined by the unique fixed-point of state evolution equations. Numerical results show that CGaBP has low complexity and overhead, and achieves optimal data estimates for Gaussian symbols, and is better than MMSE-SIC for finite-alphabet symbols.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2014 IEEE. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 24 Mar 2015 04:18
Last Modified: 09 Jun 2016 04:56
Uncontrolled Keywords: MIMO systems; antennas; detection; signal to noise ratio
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
10 Technology > 1005 Communications Technologies > 100501 Antennas and Propagation
09 Engineering > 0906 Electrical and Electronic Engineering > 090604 Microelectronics and Integrated Circuits
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1109/GLOCOM.2014.7037421
URI: http://eprints.usq.edu.au/id/eprint/26945

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