Interference alignment in multi-carrier interference networks
We consider an interference network with multi-carrier transmission over M parallel sub-channels. There are K transmitter-receiver pairs, each transmitter transmits a single data stream with a rank-one precoding matrix, and the receivers are assumed to be linear. We show that a necessary condition f...
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creator | Changxin Shi Berry, R. A. Honig, M. L. |
description | We consider an interference network with multi-carrier transmission over M parallel sub-channels. There are K transmitter-receiver pairs, each transmitter transmits a single data stream with a rank-one precoding matrix, and the receivers are assumed to be linear. We show that a necessary condition for zero interference (alignment across sub-channels) is K ≤ 2M-2. In contrast, for a Multi-Input Multi-Output (MIMO) interference network with M×M spatial channels (full channel matrices) the corresponding condition is known to be K ≤ 2M - 1. We also characterize the sum rate at high Signal-to-Noise Ratios (SNR) by bounding the SNR offset (x-intercept) of the asymptote of the sum rate vs SNR curve. For a randomly chosen aligned solution as M increases, this offset shifts to the right as logM. In contrast, the SNR offset for a MIMO interference network does not increase with M. An approximation for the performance of sampling the best out of L aligned solutions is also presented. Numerical results show the analytical asymptotes accurately predict the sum rate curves at moderate to high SNRs. |
doi_str_mv | 10.1109/ISIT.2011.6034039 |
format | Conference Proceeding |
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A. ; Honig, M. L.</creator><creatorcontrib>Changxin Shi ; Berry, R. A. ; Honig, M. L.</creatorcontrib><description>We consider an interference network with multi-carrier transmission over M parallel sub-channels. There are K transmitter-receiver pairs, each transmitter transmits a single data stream with a rank-one precoding matrix, and the receivers are assumed to be linear. We show that a necessary condition for zero interference (alignment across sub-channels) is K ≤ 2M-2. In contrast, for a Multi-Input Multi-Output (MIMO) interference network with M×M spatial channels (full channel matrices) the corresponding condition is known to be K ≤ 2M - 1. We also characterize the sum rate at high Signal-to-Noise Ratios (SNR) by bounding the SNR offset (x-intercept) of the asymptote of the sum rate vs SNR curve. For a randomly chosen aligned solution as M increases, this offset shifts to the right as logM. In contrast, the SNR offset for a MIMO interference network does not increase with M. An approximation for the performance of sampling the best out of L aligned solutions is also presented. 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A.</creatorcontrib><creatorcontrib>Honig, M. L.</creatorcontrib><title>Interference alignment in multi-carrier interference networks</title><title>2011 IEEE International Symposium on Information Theory Proceedings</title><addtitle>ISIT</addtitle><description>We consider an interference network with multi-carrier transmission over M parallel sub-channels. There are K transmitter-receiver pairs, each transmitter transmits a single data stream with a rank-one precoding matrix, and the receivers are assumed to be linear. We show that a necessary condition for zero interference (alignment across sub-channels) is K ≤ 2M-2. In contrast, for a Multi-Input Multi-Output (MIMO) interference network with M×M spatial channels (full channel matrices) the corresponding condition is known to be K ≤ 2M - 1. We also characterize the sum rate at high Signal-to-Noise Ratios (SNR) by bounding the SNR offset (x-intercept) of the asymptote of the sum rate vs SNR curve. For a randomly chosen aligned solution as M increases, this offset shifts to the right as logM. In contrast, the SNR offset for a MIMO interference network does not increase with M. An approximation for the performance of sampling the best out of L aligned solutions is also presented. Numerical results show the analytical asymptotes accurately predict the sum rate curves at moderate to high SNRs.</description><subject>Equations</subject><subject>Interference</subject><subject>MIMO</subject><subject>Random variables</subject><subject>Receivers</subject><subject>Signal to noise ratio</subject><subject>Transmitters</subject><issn>2157-8095</issn><issn>2157-8117</issn><isbn>1457705966</isbn><isbn>9781457705960</isbn><isbn>9781457705953</isbn><isbn>145770594X</isbn><isbn>9781457705946</isbn><isbn>1457705958</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNkEtLw0AUhccXWGt-gLjJH0h6b-a9cCHFR6DQhXVdJuMdGU1GmUTEf2_BFjybA-c7nMVh7AqhRgS7aJ_aTd0AYq2AC-D2iBVWGxRSa5BW8mM2a1DqyiDqE3ZxAEqdHgBYec6KcXyDnZSyHMyM3bRpohwoU_JUuj6-poHSVMZUDl_9FCvvco6Ud8G_XqLp-yO_j5fsLLh-pGLvc_Z8f7dZPlar9UO7vF1VEbWcKkIvFBG3insjbTDkBbimM2heFIlOao8mdIFAOkJwHAV41bhGquAtRz5n13-7kYi2nzkOLv9s90_wX6PVTgU</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Changxin Shi</creator><creator>Berry, R. A.</creator><creator>Honig, M. L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201107</creationdate><title>Interference alignment in multi-carrier interference networks</title><author>Changxin Shi ; Berry, R. A. ; Honig, M. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e1c46ee3963c859f8ec40a2b818d6e4b57c18fbfe05ae10a3140c62a256fc9313</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Equations</topic><topic>Interference</topic><topic>MIMO</topic><topic>Random variables</topic><topic>Receivers</topic><topic>Signal to noise ratio</topic><topic>Transmitters</topic><toplevel>online_resources</toplevel><creatorcontrib>Changxin Shi</creatorcontrib><creatorcontrib>Berry, R. A.</creatorcontrib><creatorcontrib>Honig, M. L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Changxin Shi</au><au>Berry, R. A.</au><au>Honig, M. L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Interference alignment in multi-carrier interference networks</atitle><btitle>2011 IEEE International Symposium on Information Theory Proceedings</btitle><stitle>ISIT</stitle><date>2011-07</date><risdate>2011</risdate><spage>26</spage><epage>30</epage><pages>26-30</pages><issn>2157-8095</issn><eissn>2157-8117</eissn><isbn>1457705966</isbn><isbn>9781457705960</isbn><eisbn>9781457705953</eisbn><eisbn>145770594X</eisbn><eisbn>9781457705946</eisbn><eisbn>1457705958</eisbn><abstract>We consider an interference network with multi-carrier transmission over M parallel sub-channels. There are K transmitter-receiver pairs, each transmitter transmits a single data stream with a rank-one precoding matrix, and the receivers are assumed to be linear. We show that a necessary condition for zero interference (alignment across sub-channels) is K ≤ 2M-2. In contrast, for a Multi-Input Multi-Output (MIMO) interference network with M×M spatial channels (full channel matrices) the corresponding condition is known to be K ≤ 2M - 1. We also characterize the sum rate at high Signal-to-Noise Ratios (SNR) by bounding the SNR offset (x-intercept) of the asymptote of the sum rate vs SNR curve. For a randomly chosen aligned solution as M increases, this offset shifts to the right as logM. In contrast, the SNR offset for a MIMO interference network does not increase with M. An approximation for the performance of sampling the best out of L aligned solutions is also presented. Numerical results show the analytical asymptotes accurately predict the sum rate curves at moderate to high SNRs.</abstract><pub>IEEE</pub><doi>10.1109/ISIT.2011.6034039</doi><tpages>5</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Equations Interference MIMO Random variables Receivers Signal to noise ratio Transmitters |
title | Interference alignment in multi-carrier interference networks |
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