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A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder
Preceding for multiple-input multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For two transmit antennas and QAM constellations, a real-valued precoder which is approximately optimal (with respect to the minimum Eu...
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Published in: | IEEE transactions on signal processing 2011-11, Vol.59 (11), p.5485-5498 |
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description | Preceding for multiple-input multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For two transmit antennas and QAM constellations, a real-valued precoder which is approximately optimal (with respect to the minimum Euclidean distance between points in the received signal space) among real-valued precoders based on the singular value decomposition (SVD) of the channel is proposed. The proposed precoder is obtainable easily for arbitrary QAM constellations, unlike the known complex-valued optimal precoder by Collin et at for two transmit antennas which is in existence for 4-QAM alone and is extremely hard to obtain for larger QAM constellations. The proposed precoding scheme is extended to higher number of transmit antennas on the lines of the E - d min pre coder for 4-QAM by Vrigneau et at which is an extension of the complex-valued optimal precoder for 4-QAM. The proposed precoder's ML-decoding complexity as a function of the constellation size M is only O(√M) while that of the E-d min precoder is O(M√M)(M = 4). Compared to the recently proposed X- and Y-precoders, the error performance of the proposed precoder is significantly better while being only marginally worse than that of the E-d min precoder for 4-QAM. It is argued that the proposed precoder provides full-diversity for QAM constellations and this is supported by simulation plots of the word error probability for 2 × 2, 4 × 4 and 8×8 systems. |
doi_str_mv | 10.1109/TSP.2011.2162957 |
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P. ; Rajan, B. S.</creator><creatorcontrib>Srinath, K. P. ; Rajan, B. S.</creatorcontrib><description>Preceding for multiple-input multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For two transmit antennas and QAM constellations, a real-valued precoder which is approximately optimal (with respect to the minimum Euclidean distance between points in the received signal space) among real-valued precoders based on the singular value decomposition (SVD) of the channel is proposed. The proposed precoder is obtainable easily for arbitrary QAM constellations, unlike the known complex-valued optimal precoder by Collin et at for two transmit antennas which is in existence for 4-QAM alone and is extremely hard to obtain for larger QAM constellations. The proposed precoding scheme is extended to higher number of transmit antennas on the lines of the E - d min pre coder for 4-QAM by Vrigneau et at which is an extension of the complex-valued optimal precoder for 4-QAM. The proposed precoder's ML-decoding complexity as a function of the constellation size M is only O(√M) while that of the E-d min precoder is O(M√M)(M = 4). Compared to the recently proposed X- and Y-precoders, the error performance of the proposed precoder is significantly better while being only marginally worse than that of the E-d min precoder for 4-QAM. 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S.</creatorcontrib><title>A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>Preceding for multiple-input multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For two transmit antennas and QAM constellations, a real-valued precoder which is approximately optimal (with respect to the minimum Euclidean distance between points in the received signal space) among real-valued precoders based on the singular value decomposition (SVD) of the channel is proposed. The proposed precoder is obtainable easily for arbitrary QAM constellations, unlike the known complex-valued optimal precoder by Collin et at for two transmit antennas which is in existence for 4-QAM alone and is extremely hard to obtain for larger QAM constellations. The proposed precoding scheme is extended to higher number of transmit antennas on the lines of the E - d min pre coder for 4-QAM by Vrigneau et at which is an extension of the complex-valued optimal precoder for 4-QAM. The proposed precoder's ML-decoding complexity as a function of the constellation size M is only O(√M) while that of the E-d min precoder is O(M√M)(M = 4). Compared to the recently proposed X- and Y-precoders, the error performance of the proposed precoder is significantly better while being only marginally worse than that of the E-d min precoder for 4-QAM. It is argued that the proposed precoder provides full-diversity for QAM constellations and this is supported by simulation plots of the word error probability for 2 × 2, 4 × 4 and 8×8 systems.</description><subject>Antennas</subject><subject>Applied sciences</subject><subject>Channels</subject><subject>Coding, codes</subject><subject>Complexity</subject><subject>Complexity theory</subject><subject>Constellations</subject><subject>Decoding</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Diversity gain</subject><subject>Errors</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>low ML-decoding complexity</subject><subject>MIMO</subject><subject>Modulation, demodulation</subject><subject>multiple-input multiple-output (MIMO) precoders</subject><subject>Optimization</subject><subject>Quadrature amplitude modulation</subject><subject>Receivers</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Simulation</subject><subject>singular values</subject><subject>Studies</subject><subject>Telecommunications and information theory</subject><subject>Transmitting antennas</subject><subject>word error probability</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdkM1Lw0AQxRdRsFbvgpcgiBdTd7Ob_TiWfmghpUUreFs2m4mkpE3dTdT-96a0VPA0M8zvvRkeQtcE9wjB6nHxOu9FmJBeRHikYnGCOkQxEmIm-Gnb45iGsRTv5-jC-yXGhDHFO2jUD5LqO5gm4RBslRXrj2BQrTYl_BT19iEYN2UZDosvcP5vfjE1BNPJdBbM3U4E7hKd5ab0cHWoXfQ2Hi0Gz2Eye5oM-kloqWJ1mGWYcZpKI9JU2owowXlEczAcUwuRTJmVklNKhUkFlUCNEkZlmSUREGYp7aL7ve_GVZ8N-FqvCm-hLM0aqsZrxalkhHHSkrf_yGXVuHX7nJZKUMx5e7OL8B6yrvLeQa43rlgZt9UE612quk1V71LVh1Rbyd3B13hrytyZtS38URcxgQWLeMvd7LkCAI7rWHHCY0x_AcixfW8</recordid><startdate>20111101</startdate><enddate>20111101</enddate><creator>Srinath, K. 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S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-dd0463b8a7bb8cd1976623fea603ce28b4c8863337ab738e3a97a9ddc12e14c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Antennas</topic><topic>Applied sciences</topic><topic>Channels</topic><topic>Coding, codes</topic><topic>Complexity</topic><topic>Complexity theory</topic><topic>Constellations</topic><topic>Decoding</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Diversity gain</topic><topic>Errors</topic><topic>Exact sciences and technology</topic><topic>Information, signal and communications theory</topic><topic>low ML-decoding complexity</topic><topic>MIMO</topic><topic>Modulation, demodulation</topic><topic>multiple-input multiple-output (MIMO) precoders</topic><topic>Optimization</topic><topic>Quadrature amplitude modulation</topic><topic>Receivers</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Simulation</topic><topic>singular values</topic><topic>Studies</topic><topic>Telecommunications and information theory</topic><topic>Transmitting antennas</topic><topic>word error probability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Srinath, K. 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S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library</collection><collection>Pascal-Francis</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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Srinath, K. P.</au><au>Rajan, B. S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2011-11-01</date><risdate>2011</risdate><volume>59</volume><issue>11</issue><spage>5485</spage><epage>5498</epage><pages>5485-5498</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>Preceding for multiple-input multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For two transmit antennas and QAM constellations, a real-valued precoder which is approximately optimal (with respect to the minimum Euclidean distance between points in the received signal space) among real-valued precoders based on the singular value decomposition (SVD) of the channel is proposed. The proposed precoder is obtainable easily for arbitrary QAM constellations, unlike the known complex-valued optimal precoder by Collin et at for two transmit antennas which is in existence for 4-QAM alone and is extremely hard to obtain for larger QAM constellations. The proposed precoding scheme is extended to higher number of transmit antennas on the lines of the E - d min pre coder for 4-QAM by Vrigneau et at which is an extension of the complex-valued optimal precoder for 4-QAM. The proposed precoder's ML-decoding complexity as a function of the constellation size M is only O(√M) while that of the E-d min precoder is O(M√M)(M = 4). Compared to the recently proposed X- and Y-precoders, the error performance of the proposed precoder is significantly better while being only marginally worse than that of the E-d min precoder for 4-QAM. 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subjects | Antennas Applied sciences Channels Coding, codes Complexity Complexity theory Constellations Decoding Detection, estimation, filtering, equalization, prediction Diversity gain Errors Exact sciences and technology Information, signal and communications theory low ML-decoding complexity MIMO Modulation, demodulation multiple-input multiple-output (MIMO) precoders Optimization Quadrature amplitude modulation Receivers Signal and communications theory Signal, noise Simulation singular values Studies Telecommunications and information theory Transmitting antennas word error probability |
title | A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder |
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