A Signal-Space Aligned Network Coding Approach to Distributed MIMO
This paper studies an uplink distributed MIMO (DMIMO) system that consists of K users and K' distributed base stations (BSs), where the BSs are connected to a central unit (CU) via independent rate-constrained backhaul (BH) links. We propose anew signal-space aligned network coding scheme. Firs...
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Veröffentlicht in: | IEEE transactions on signal processing 2017-01, Vol.65 (1), p.27-40 |
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description | This paper studies an uplink distributed MIMO (DMIMO) system that consists of K users and K' distributed base stations (BSs), where the BSs are connected to a central unit (CU) via independent rate-constrained backhaul (BH) links. We propose anew signal-space aligned network coding scheme. First, a network coding generator matrix is selected subject to certain structural properties. Next, distributed linear precoding is employed by the users to create aligned signal-spaces at the BSs, according to the pattern determined by the network coding generator matrix. For each aligned signal-space at a BS, physical-layer network coding is utilized to compute the corresponding network-coded (NC) messages, where the actual number of NC messages forwarded to the CU is determined by the BH rate-constraint. We derive an achievable rate of the proposed scheme based on the existence of the NC generator matrix and signal-space alignment precoding matrices. For DMIMO with two and three BSs, the achievable rates and degrees of freedom (DoF) are evaluated and shown to outperform existing schemes. For example, for DMIMO with two BSs where each user and BS have N and N' antennas, respectively, the proposed scheme achieves a DoF of 2 min (N, N') - 1, if the BH capacity scales like (2 min (N, N') - 1) log SNR. This leads to greater DoF compared to that utilizes the strategy for interference channel, whose DoF is min (N, N'). Numerical results demonstrate the performance advantage of the proposed scheme. |
doi_str_mv | 10.1109/TSP.2016.2616335 |
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We propose anew signal-space aligned network coding scheme. First, a network coding generator matrix is selected subject to certain structural properties. Next, distributed linear precoding is employed by the users to create aligned signal-spaces at the BSs, according to the pattern determined by the network coding generator matrix. For each aligned signal-space at a BS, physical-layer network coding is utilized to compute the corresponding network-coded (NC) messages, where the actual number of NC messages forwarded to the CU is determined by the BH rate-constraint. We derive an achievable rate of the proposed scheme based on the existence of the NC generator matrix and signal-space alignment precoding matrices. For DMIMO with two and three BSs, the achievable rates and degrees of freedom (DoF) are evaluated and shown to outperform existing schemes. For example, for DMIMO with two BSs where each user and BS have N and N' antennas, respectively, the proposed scheme achieves a DoF of 2 min (N, N') - 1, if the BH capacity scales like (2 min (N, N') - 1) log SNR. This leads to greater DoF compared to that utilizes the strategy for interference channel, whose DoF is min (N, N'). Numerical results demonstrate the performance advantage of the proposed scheme.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2016.2616335</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Base stations ; Batch processing ; Cloud RAN ; CoMP ; compute-and-forward ; Control charts ; distributed MIMO ; Generators ; interference alignment ; Interference channels ; MIMO ; MIMO (control systems) ; Monitors ; Network coding ; physical-layer network coding ; Uplink</subject><ispartof>IEEE transactions on signal processing, 2017-01, Vol.65 (1), p.27-40</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-c9c6c6f8d7c6f045e3345e2f2e0ea908531085f7813fa219e77ac8a142f879353</citedby><cites>FETCH-LOGICAL-c333t-c9c6c6f8d7c6f045e3345e2f2e0ea908531085f7813fa219e77ac8a142f879353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7587805$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7587805$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tao Yang</creatorcontrib><creatorcontrib>Xiaojun Yuan</creatorcontrib><creatorcontrib>Sun, Qifu Tyler</creatorcontrib><title>A Signal-Space Aligned Network Coding Approach to Distributed MIMO</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>This paper studies an uplink distributed MIMO (DMIMO) system that consists of K users and K' distributed base stations (BSs), where the BSs are connected to a central unit (CU) via independent rate-constrained backhaul (BH) links. We propose anew signal-space aligned network coding scheme. First, a network coding generator matrix is selected subject to certain structural properties. Next, distributed linear precoding is employed by the users to create aligned signal-spaces at the BSs, according to the pattern determined by the network coding generator matrix. For each aligned signal-space at a BS, physical-layer network coding is utilized to compute the corresponding network-coded (NC) messages, where the actual number of NC messages forwarded to the CU is determined by the BH rate-constraint. We derive an achievable rate of the proposed scheme based on the existence of the NC generator matrix and signal-space alignment precoding matrices. For DMIMO with two and three BSs, the achievable rates and degrees of freedom (DoF) are evaluated and shown to outperform existing schemes. For example, for DMIMO with two BSs where each user and BS have N and N' antennas, respectively, the proposed scheme achieves a DoF of 2 min (N, N') - 1, if the BH capacity scales like (2 min (N, N') - 1) log SNR. This leads to greater DoF compared to that utilizes the strategy for interference channel, whose DoF is min (N, N'). Numerical results demonstrate the performance advantage of the proposed scheme.</description><subject>Base stations</subject><subject>Batch processing</subject><subject>Cloud RAN</subject><subject>CoMP</subject><subject>compute-and-forward</subject><subject>Control charts</subject><subject>distributed MIMO</subject><subject>Generators</subject><subject>interference alignment</subject><subject>Interference channels</subject><subject>MIMO</subject><subject>MIMO (control systems)</subject><subject>Monitors</subject><subject>Network coding</subject><subject>physical-layer network coding</subject><subject>Uplink</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1LAzEQxYMoWKt3wUvA89Zk831c61ehtUIreAsxTerW2l2TLeJ_75QWL29m4M3w5ofQJSUDSom5mc9eBiWhclBKKhkTR6hHDacF4UoeQ08EK4RWb6foLOcVIZRzI3votsKzerlx62LWOh9wtYYpLPBz6H6a9ImHzaLeLHHVtqlx_gN3Db6rc5fq920HtsloMj1HJ9Gtc7g41D56fbifD5-K8fRxNKzGhWeMdYU3XnoZ9UKBEi4CYyBlLAMJzhAtGAWJSlMWXUlNUMp57Sgvo1aGCdZH1_u7EOV7G3JnV802QfRsqWZCcw6vgovsXT41OacQbZvqL5d-LSV2R8oCKbsjZQ-kYOVqv1KHEP7tCmhpoPYHYAtiNA</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Tao Yang</creator><creator>Xiaojun Yuan</creator><creator>Sun, Qifu Tyler</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20170101</creationdate><title>A Signal-Space Aligned Network Coding Approach to Distributed MIMO</title><author>Tao Yang ; Xiaojun Yuan ; Sun, Qifu Tyler</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-c9c6c6f8d7c6f045e3345e2f2e0ea908531085f7813fa219e77ac8a142f879353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Base stations</topic><topic>Batch processing</topic><topic>Cloud RAN</topic><topic>CoMP</topic><topic>compute-and-forward</topic><topic>Control charts</topic><topic>distributed MIMO</topic><topic>Generators</topic><topic>interference alignment</topic><topic>Interference channels</topic><topic>MIMO</topic><topic>MIMO (control systems)</topic><topic>Monitors</topic><topic>Network coding</topic><topic>physical-layer network coding</topic><topic>Uplink</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tao Yang</creatorcontrib><creatorcontrib>Xiaojun Yuan</creatorcontrib><creatorcontrib>Sun, Qifu Tyler</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tao Yang</au><au>Xiaojun Yuan</au><au>Sun, Qifu Tyler</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Signal-Space Aligned Network Coding Approach to Distributed MIMO</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2017-01-01</date><risdate>2017</risdate><volume>65</volume><issue>1</issue><spage>27</spage><epage>40</epage><pages>27-40</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>This paper studies an uplink distributed MIMO (DMIMO) system that consists of K users and K' distributed base stations (BSs), where the BSs are connected to a central unit (CU) via independent rate-constrained backhaul (BH) links. We propose anew signal-space aligned network coding scheme. First, a network coding generator matrix is selected subject to certain structural properties. Next, distributed linear precoding is employed by the users to create aligned signal-spaces at the BSs, according to the pattern determined by the network coding generator matrix. For each aligned signal-space at a BS, physical-layer network coding is utilized to compute the corresponding network-coded (NC) messages, where the actual number of NC messages forwarded to the CU is determined by the BH rate-constraint. We derive an achievable rate of the proposed scheme based on the existence of the NC generator matrix and signal-space alignment precoding matrices. For DMIMO with two and three BSs, the achievable rates and degrees of freedom (DoF) are evaluated and shown to outperform existing schemes. For example, for DMIMO with two BSs where each user and BS have N and N' antennas, respectively, the proposed scheme achieves a DoF of 2 min (N, N') - 1, if the BH capacity scales like (2 min (N, N') - 1) log SNR. This leads to greater DoF compared to that utilizes the strategy for interference channel, whose DoF is min (N, N'). Numerical results demonstrate the performance advantage of the proposed scheme.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TSP.2016.2616335</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Base stations Batch processing Cloud RAN CoMP compute-and-forward Control charts distributed MIMO Generators interference alignment Interference channels MIMO MIMO (control systems) Monitors Network coding physical-layer network coding Uplink |
title | A Signal-Space Aligned Network Coding Approach to Distributed MIMO |
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