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dc.contributor.authorFang, L.
dc.contributor.authorXu, L.
dc.contributor.authorGuo, Q.
dc.contributor.authorHuang, D.
dc.contributor.authorNordholm, Sven
dc.date.accessioned2017-01-30T12:53:22Z
dc.date.available2017-01-30T12:53:22Z
dc.date.created2016-02-29T19:30:27Z
dc.date.issued2015
dc.identifier.citationFang, L. and Xu, L. and Guo, Q. and Huang, D. and Nordholm, S. 2015. A hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming, in 2014 IEEE/CIC International Conference on Communications in China, pp. 463-468.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26434
dc.identifier.doi10.1109/ICCChina.2014.7008322
dc.description.abstract

In this paper, after showing MMSE-SIC suffers from performance loss when the channel is spatially correlated for Massive MIMO, we propose an effective hybrid iterative detection algorithm named partial Gaussian approach with integer programming (PGA-IP) to handle correlated channels. In PGA-IP, a partial gaussian approach is first employed to reduce the massive MIMO detection (with large dimension Nt ×Nr MIMO channel) to a problem of marginalizing M (M is a parameter and M? Nt, Nr) discrete valued symbols over an M-degree quadratic function. Then we employ integer programming which is a tree based branch-and-bound search algorithm to further reduce the complexity of the M-dimensional marginalization. Simulation results show that the proposed PGA-IP outperforms MMSE-SIC by about 5dB under heavily correlated channel with only several times of increased computational complexity. At the same time, with about 5% of the complexity of the exact PGA algorithm, the proposed PGA-IP only suffers marginal performance penalty.

dc.titleA hybrid iterative MIMO detection algorithm: Partial Gaussian approach with integer programming
dc.typeConference Paper
dcterms.source.startPage463
dcterms.source.endPage468
dcterms.source.title2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
dcterms.source.series2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
dcterms.source.isbn9781479941469
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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