Loading…

Subcarrier clustering for MISO-OFDM channels with quantized beamforming

We consider a transmit beamforming for an OFDM channel with multiple transmit antennas and single receive antenna. With channel information, a receiver selects and quantizes transmit beamforming vector for each subcarrier. The quantized beamformers are then relayed to the transmitter via a rate-limi...

Full description

Saved in:
Bibliographic Details
Main Authors: Mamat, Kritsada, Santipach, Wiroonsak
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 4
container_issue
container_start_page 1
container_title
container_volume
creator Mamat, Kritsada
Santipach, Wiroonsak
description We consider a transmit beamforming for an OFDM channel with multiple transmit antennas and single receive antenna. With channel information, a receiver selects and quantizes transmit beamforming vector for each subcarrier. The quantized beamformers are then relayed to the transmitter via a rate-limited feedback channel. We propose to reduce the required number of feedback bits by applying a common transmit beamformer for a cluster of adjacent subcarriers. The sum capacity over all subcarriers depends on a cluster size, the number of feedback bits, and the number of channel taps. Approximation of the optimal cluster size that maximizes the sum rates is derived and is shown to predict simulation results very well. Numerical results show that operating with the optimal cluster size can achieve significant performance gain.
doi_str_mv 10.1109/ECTICon.2012.6254267
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6254267</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6254267</ieee_id><sourcerecordid>6254267</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c561d201b2748d28212adebdede28f64e9771e1908b13c8b9c860f681839e7a43</originalsourceid><addsrcrecordid>eNpFT81Kw0AYXBFBrX0CPewLJO63m-zPUWJbAy05NPey2XyxK0mqmwTRp2_AgnMZBmaGGUKegMUAzDyvsjLPTn3MGfBY8jThUl2Re0ikEpzxlF3_C2luyXIYPtgMpQGEuCOb_VQ5G4LHQF07DSMG37_T5hToLt8XUbF-3VF3tH2P7UC__XikX5PtR_-LNa3QdrOzmxMP5Kax7YDLCy9IuV6V2Vu0LTZ59rKNvGFj5FIJ9Ty14irRNdccuK2xqrFGrhuZoFEKEAzTFQinK-O0ZI3UoIVBZROxII9_tR4RD5_Bdzb8HC6_xRkapUyY</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Subcarrier clustering for MISO-OFDM channels with quantized beamforming</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Mamat, Kritsada ; Santipach, Wiroonsak</creator><creatorcontrib>Mamat, Kritsada ; Santipach, Wiroonsak</creatorcontrib><description>We consider a transmit beamforming for an OFDM channel with multiple transmit antennas and single receive antenna. With channel information, a receiver selects and quantizes transmit beamforming vector for each subcarrier. The quantized beamformers are then relayed to the transmitter via a rate-limited feedback channel. We propose to reduce the required number of feedback bits by applying a common transmit beamformer for a cluster of adjacent subcarriers. The sum capacity over all subcarriers depends on a cluster size, the number of feedback bits, and the number of channel taps. Approximation of the optimal cluster size that maximizes the sum rates is derived and is shown to predict simulation results very well. Numerical results show that operating with the optimal cluster size can achieve significant performance gain.</description><identifier>ISBN: 1467320269</identifier><identifier>ISBN: 9781467320269</identifier><identifier>EISBN: 1467320250</identifier><identifier>EISBN: 1467320242</identifier><identifier>EISBN: 9781467320252</identifier><identifier>EISBN: 9781467320245</identifier><identifier>DOI: 10.1109/ECTICon.2012.6254267</identifier><language>eng</language><publisher>IEEE</publisher><subject>Approximation methods ; Array signal processing ; OFDM ; Quantization ; Receivers ; Transmitting antennas ; Vectors</subject><ispartof>2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2012, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6254267$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6254267$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mamat, Kritsada</creatorcontrib><creatorcontrib>Santipach, Wiroonsak</creatorcontrib><title>Subcarrier clustering for MISO-OFDM channels with quantized beamforming</title><title>2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology</title><addtitle>ECTICon</addtitle><description>We consider a transmit beamforming for an OFDM channel with multiple transmit antennas and single receive antenna. With channel information, a receiver selects and quantizes transmit beamforming vector for each subcarrier. The quantized beamformers are then relayed to the transmitter via a rate-limited feedback channel. We propose to reduce the required number of feedback bits by applying a common transmit beamformer for a cluster of adjacent subcarriers. The sum capacity over all subcarriers depends on a cluster size, the number of feedback bits, and the number of channel taps. Approximation of the optimal cluster size that maximizes the sum rates is derived and is shown to predict simulation results very well. Numerical results show that operating with the optimal cluster size can achieve significant performance gain.</description><subject>Approximation methods</subject><subject>Array signal processing</subject><subject>OFDM</subject><subject>Quantization</subject><subject>Receivers</subject><subject>Transmitting antennas</subject><subject>Vectors</subject><isbn>1467320269</isbn><isbn>9781467320269</isbn><isbn>1467320250</isbn><isbn>1467320242</isbn><isbn>9781467320252</isbn><isbn>9781467320245</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFT81Kw0AYXBFBrX0CPewLJO63m-zPUWJbAy05NPey2XyxK0mqmwTRp2_AgnMZBmaGGUKegMUAzDyvsjLPTn3MGfBY8jThUl2Re0ikEpzxlF3_C2luyXIYPtgMpQGEuCOb_VQ5G4LHQF07DSMG37_T5hToLt8XUbF-3VF3tH2P7UC__XikX5PtR_-LNa3QdrOzmxMP5Kax7YDLCy9IuV6V2Vu0LTZ59rKNvGFj5FIJ9Ty14irRNdccuK2xqrFGrhuZoFEKEAzTFQinK-O0ZI3UoIVBZROxII9_tR4RD5_Bdzb8HC6_xRkapUyY</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Mamat, Kritsada</creator><creator>Santipach, Wiroonsak</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201205</creationdate><title>Subcarrier clustering for MISO-OFDM channels with quantized beamforming</title><author>Mamat, Kritsada ; Santipach, Wiroonsak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c561d201b2748d28212adebdede28f64e9771e1908b13c8b9c860f681839e7a43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Approximation methods</topic><topic>Array signal processing</topic><topic>OFDM</topic><topic>Quantization</topic><topic>Receivers</topic><topic>Transmitting antennas</topic><topic>Vectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Mamat, Kritsada</creatorcontrib><creatorcontrib>Santipach, Wiroonsak</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mamat, Kritsada</au><au>Santipach, Wiroonsak</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Subcarrier clustering for MISO-OFDM channels with quantized beamforming</atitle><btitle>2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology</btitle><stitle>ECTICon</stitle><date>2012-05</date><risdate>2012</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>1467320269</isbn><isbn>9781467320269</isbn><eisbn>1467320250</eisbn><eisbn>1467320242</eisbn><eisbn>9781467320252</eisbn><eisbn>9781467320245</eisbn><abstract>We consider a transmit beamforming for an OFDM channel with multiple transmit antennas and single receive antenna. With channel information, a receiver selects and quantizes transmit beamforming vector for each subcarrier. The quantized beamformers are then relayed to the transmitter via a rate-limited feedback channel. We propose to reduce the required number of feedback bits by applying a common transmit beamformer for a cluster of adjacent subcarriers. The sum capacity over all subcarriers depends on a cluster size, the number of feedback bits, and the number of channel taps. Approximation of the optimal cluster size that maximizes the sum rates is derived and is shown to predict simulation results very well. Numerical results show that operating with the optimal cluster size can achieve significant performance gain.</abstract><pub>IEEE</pub><doi>10.1109/ECTICon.2012.6254267</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1467320269
ispartof 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2012, p.1-4
issn
language eng
recordid cdi_ieee_primary_6254267
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Approximation methods
Array signal processing
OFDM
Quantization
Receivers
Transmitting antennas
Vectors
title Subcarrier clustering for MISO-OFDM channels with quantized beamforming
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T18%3A35%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Subcarrier%20clustering%20for%20MISO-OFDM%20channels%20with%20quantized%20beamforming&rft.btitle=2012%209th%20International%20Conference%20on%20Electrical%20Engineering/Electronics,%20Computer,%20Telecommunications%20and%20Information%20Technology&rft.au=Mamat,%20Kritsada&rft.date=2012-05&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.isbn=1467320269&rft.isbn_list=9781467320269&rft_id=info:doi/10.1109/ECTICon.2012.6254267&rft.eisbn=1467320250&rft.eisbn_list=1467320242&rft.eisbn_list=9781467320252&rft.eisbn_list=9781467320245&rft_dat=%3Cieee_6IE%3E6254267%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-c561d201b2748d28212adebdede28f64e9771e1908b13c8b9c860f681839e7a43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6254267&rfr_iscdi=true