Optimal Distributed Beamforming for MISO Interference Channels
In this thesis, the problem of quantifying the Pareto optimal boundary of the achievable rate region is considered over multiple-input single-output(MISO)interference channels, where the problem boils down to solving a sequence of convex feasibility problems after certain transformations. The feasib...
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ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-ETD-TAMU-2011-05-94612013-01-08T10:43:32ZOptimal Distributed Beamforming for MISO Interference ChannelsQiu, JiamingMISO-Interference ChannelDistributed BeamformingAchievable Rate RegionPareto OptimalIn this thesis, the problem of quantifying the Pareto optimal boundary of the achievable rate region is considered over multiple-input single-output(MISO)interference channels, where the problem boils down to solving a sequence of convex feasibility problems after certain transformations. The feasibility problem is solved by two new distributed optimal beam forming algorithms, where the first one is to parallelize the computation based on the method of alternating projections, and the second one is to localize the computation based on the method of cyclic projections. Convergence proofs are established for both algorithms.Cui, Shuguang2012-07-16T15:57:20Z2012-07-16T20:17:24Z2012-07-16T15:57:20Z2012-07-16T20:17:24Z2011-052012-07-16May 2011thesistextapplication/pdfhttp://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9461en_US |
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MISO-Interference Channel Distributed Beamforming Achievable Rate Region Pareto Optimal |
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MISO-Interference Channel Distributed Beamforming Achievable Rate Region Pareto Optimal Qiu, Jiaming Optimal Distributed Beamforming for MISO Interference Channels |
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In this thesis, the problem of quantifying the Pareto optimal boundary of the achievable rate region is considered over multiple-input single-output(MISO)interference channels, where the problem boils down to solving a sequence of convex feasibility problems after certain transformations. The feasibility problem is solved by two new distributed optimal beam forming algorithms, where the first one is to parallelize the computation based on the method of alternating projections, and the second one is to localize the computation based on the method of cyclic projections. Convergence proofs are established for both algorithms. |
author2 |
Cui, Shuguang |
author_facet |
Cui, Shuguang Qiu, Jiaming |
author |
Qiu, Jiaming |
author_sort |
Qiu, Jiaming |
title |
Optimal Distributed Beamforming for MISO Interference Channels |
title_short |
Optimal Distributed Beamforming for MISO Interference Channels |
title_full |
Optimal Distributed Beamforming for MISO Interference Channels |
title_fullStr |
Optimal Distributed Beamforming for MISO Interference Channels |
title_full_unstemmed |
Optimal Distributed Beamforming for MISO Interference Channels |
title_sort |
optimal distributed beamforming for miso interference channels |
publishDate |
2012 |
url |
http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9461 |
work_keys_str_mv |
AT qiujiaming optimaldistributedbeamformingformisointerferencechannels |
_version_ |
1716505216764870656 |