A Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels
In this letter, we develop a low-complexity transceiver design, referred to as semirandom beam pairing, for sparse multipath massive multiple-input-multiple-output (MIMO) channels. By exploring a sparse representation of the MIMO channel in the virtual angular domain, we generate a set of transmit-r...
Gespeichert in:
| Veröffentlicht in: | IEEE signal processing letters 2016-10, Vol.23 (10), p.1301-1305 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1305 |
|---|---|
| container_issue | 10 |
| container_start_page | 1301 |
| container_title | IEEE signal processing letters |
| container_volume | 23 |
| creator | Yuehua Yu Peng Wang He Chen Yonghui Li Vucetic, Branka |
| description | In this letter, we develop a low-complexity transceiver design, referred to as semirandom beam pairing, for sparse multipath massive multiple-input-multiple-output (MIMO) channels. By exploring a sparse representation of the MIMO channel in the virtual angular domain, we generate a set of transmit-receive beam pairs in a semirandom way to support the simultaneous transmission of multiple data streams. These data streams can be easily separated at the receiver via a successive interference cancelation technique, and the power allocation among them are optimized based on the classical waterfilling principle. The achieved degree of freedom (DoF) and capacity of the proposed approach are analyzed. Simulation results show that, compared to the conventional singular value decomposition-based method, the proposed transceiver design can achieve near-optimal DoF and capacity with a significantly lower computational complexity. |
| doi_str_mv | 10.1109/LSP.2016.2582199 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1810939562</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7494639</ieee_id><sourcerecordid>4145323331</sourcerecordid><originalsourceid>FETCH-LOGICAL-c324t-b9d95e2e50ca897f0c159e7831af47daf5603f498d82f978e6b5b4660ad99e043</originalsourceid><addsrcrecordid>eNpdkEtLw0AUhQdRsFb3gpsBN25S55FJ5i5LfBUaKrSuwzS5sSlpEmcStf_eKRUXru5dfOdw-Ai55mzCOYP7-fJ1IhiPJkJpwQFOyIgrpQMhI37qfxazAIDpc3Lh3JYxprlWI5JO6bz9CpJ219X4XfV7urKmcTlWn2jpA7rqvaFVQ5edsQ5pOtR91Zl-Q1PjnGdoOksXNNmYpsHaXZKz0tQOr37vmLw9Pa6Sl2C-eJ4l03mQSxH2wRoKUChQsdxoiEuWcwUYa8lNGcaFKVXEZBmCLrQoIdYYrdU6jCJmCgBkoRyTu2NvZ9uPAV2f7Sq_ua5Ng-3gMq6lUqBCKT16-w_dtoNt_DpPeXESVCQ8xY5UblvnLJZZZ6udsfuMs-zgN_N-s4Pf7Nevj9wcIxUi_uFxCGEkQf4AJ_R03Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1810939562</pqid></control><display><type>article</type><title>A Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels</title><source>IEEE Electronic Library (IEL)</source><creator>Yuehua Yu ; Peng Wang ; He Chen ; Yonghui Li ; Vucetic, Branka</creator><creatorcontrib>Yuehua Yu ; Peng Wang ; He Chen ; Yonghui Li ; Vucetic, Branka</creatorcontrib><description>In this letter, we develop a low-complexity transceiver design, referred to as semirandom beam pairing, for sparse multipath massive multiple-input-multiple-output (MIMO) channels. By exploring a sparse representation of the MIMO channel in the virtual angular domain, we generate a set of transmit-receive beam pairs in a semirandom way to support the simultaneous transmission of multiple data streams. These data streams can be easily separated at the receiver via a successive interference cancelation technique, and the power allocation among them are optimized based on the classical waterfilling principle. The achieved degree of freedom (DoF) and capacity of the proposed approach are analyzed. Simulation results show that, compared to the conventional singular value decomposition-based method, the proposed transceiver design can achieve near-optimal DoF and capacity with a significantly lower computational complexity.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2016.2582199</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Allocations ; Antennas ; Beams (radiation) ; Channel sparsity ; Channels ; Computational complexity ; Data transmission ; degree of freedom (DoF) ; Degrees of freedom ; massive multiple-input-multiple-output (MIMO) ; Mathematical analysis ; MIMO ; Receivers ; Representations ; Silicon carbide ; transceiver design ; Transceivers</subject><ispartof>IEEE signal processing letters, 2016-10, Vol.23 (10), p.1301-1305</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-b9d95e2e50ca897f0c159e7831af47daf5603f498d82f978e6b5b4660ad99e043</citedby><cites>FETCH-LOGICAL-c324t-b9d95e2e50ca897f0c159e7831af47daf5603f498d82f978e6b5b4660ad99e043</cites><orcidid>0000-0001-8886-9680</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7494639$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7494639$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yuehua Yu</creatorcontrib><creatorcontrib>Peng Wang</creatorcontrib><creatorcontrib>He Chen</creatorcontrib><creatorcontrib>Yonghui Li</creatorcontrib><creatorcontrib>Vucetic, Branka</creatorcontrib><title>A Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>In this letter, we develop a low-complexity transceiver design, referred to as semirandom beam pairing, for sparse multipath massive multiple-input-multiple-output (MIMO) channels. By exploring a sparse representation of the MIMO channel in the virtual angular domain, we generate a set of transmit-receive beam pairs in a semirandom way to support the simultaneous transmission of multiple data streams. These data streams can be easily separated at the receiver via a successive interference cancelation technique, and the power allocation among them are optimized based on the classical waterfilling principle. The achieved degree of freedom (DoF) and capacity of the proposed approach are analyzed. Simulation results show that, compared to the conventional singular value decomposition-based method, the proposed transceiver design can achieve near-optimal DoF and capacity with a significantly lower computational complexity.</description><subject>Allocations</subject><subject>Antennas</subject><subject>Beams (radiation)</subject><subject>Channel sparsity</subject><subject>Channels</subject><subject>Computational complexity</subject><subject>Data transmission</subject><subject>degree of freedom (DoF)</subject><subject>Degrees of freedom</subject><subject>massive multiple-input-multiple-output (MIMO)</subject><subject>Mathematical analysis</subject><subject>MIMO</subject><subject>Receivers</subject><subject>Representations</subject><subject>Silicon carbide</subject><subject>transceiver design</subject><subject>Transceivers</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkEtLw0AUhQdRsFb3gpsBN25S55FJ5i5LfBUaKrSuwzS5sSlpEmcStf_eKRUXru5dfOdw-Ai55mzCOYP7-fJ1IhiPJkJpwQFOyIgrpQMhI37qfxazAIDpc3Lh3JYxprlWI5JO6bz9CpJ219X4XfV7urKmcTlWn2jpA7rqvaFVQ5edsQ5pOtR91Zl-Q1PjnGdoOksXNNmYpsHaXZKz0tQOr37vmLw9Pa6Sl2C-eJ4l03mQSxH2wRoKUChQsdxoiEuWcwUYa8lNGcaFKVXEZBmCLrQoIdYYrdU6jCJmCgBkoRyTu2NvZ9uPAV2f7Sq_ua5Ng-3gMq6lUqBCKT16-w_dtoNt_DpPeXESVCQ8xY5UblvnLJZZZ6udsfuMs-zgN_N-s4Pf7Nevj9wcIxUi_uFxCGEkQf4AJ_R03Q</recordid><startdate>201610</startdate><enddate>201610</enddate><creator>Yuehua Yu</creator><creator>Peng Wang</creator><creator>He Chen</creator><creator>Yonghui Li</creator><creator>Vucetic, Branka</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><scope>F28</scope><scope>FR3</scope><orcidid>https://orcid.org/0000-0001-8886-9680</orcidid></search><sort><creationdate>201610</creationdate><title>A Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels</title><author>Yuehua Yu ; Peng Wang ; He Chen ; Yonghui Li ; Vucetic, Branka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c324t-b9d95e2e50ca897f0c159e7831af47daf5603f498d82f978e6b5b4660ad99e043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Allocations</topic><topic>Antennas</topic><topic>Beams (radiation)</topic><topic>Channel sparsity</topic><topic>Channels</topic><topic>Computational complexity</topic><topic>Data transmission</topic><topic>degree of freedom (DoF)</topic><topic>Degrees of freedom</topic><topic>massive multiple-input-multiple-output (MIMO)</topic><topic>Mathematical analysis</topic><topic>MIMO</topic><topic>Receivers</topic><topic>Representations</topic><topic>Silicon carbide</topic><topic>transceiver design</topic><topic>Transceivers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuehua Yu</creatorcontrib><creatorcontrib>Peng Wang</creatorcontrib><creatorcontrib>He Chen</creatorcontrib><creatorcontrib>Yonghui Li</creatorcontrib><creatorcontrib>Vucetic, Branka</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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yuehua Yu</au><au>Peng Wang</au><au>He Chen</au><au>Yonghui Li</au><au>Vucetic, Branka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2016-10</date><risdate>2016</risdate><volume>23</volume><issue>10</issue><spage>1301</spage><epage>1305</epage><pages>1301-1305</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>In this letter, we develop a low-complexity transceiver design, referred to as semirandom beam pairing, for sparse multipath massive multiple-input-multiple-output (MIMO) channels. By exploring a sparse representation of the MIMO channel in the virtual angular domain, we generate a set of transmit-receive beam pairs in a semirandom way to support the simultaneous transmission of multiple data streams. These data streams can be easily separated at the receiver via a successive interference cancelation technique, and the power allocation among them are optimized based on the classical waterfilling principle. The achieved degree of freedom (DoF) and capacity of the proposed approach are analyzed. Simulation results show that, compared to the conventional singular value decomposition-based method, the proposed transceiver design can achieve near-optimal DoF and capacity with a significantly lower computational complexity.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2016.2582199</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0001-8886-9680</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1070-9908 |
| ispartof | IEEE signal processing letters, 2016-10, Vol.23 (10), p.1301-1305 |
| issn | 1070-9908 1558-2361 |
| language | eng |
| recordid | cdi_proquest_journals_1810939562 |
| source | IEEE Electronic Library (IEL) |
| subjects | Allocations Antennas Beams (radiation) Channel sparsity Channels Computational complexity Data transmission degree of freedom (DoF) Degrees of freedom massive multiple-input-multiple-output (MIMO) Mathematical analysis MIMO Receivers Representations Silicon carbide transceiver design Transceivers |
| title | A Low-Complexity Transceiver Design in Sparse Multipath Massive MIMO Channels |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T18%3A42%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Low-Complexity%20Transceiver%20Design%20in%20Sparse%20Multipath%20Massive%20MIMO%20Channels&rft.jtitle=IEEE%20signal%20processing%20letters&rft.au=Yuehua%20Yu&rft.date=2016-10&rft.volume=23&rft.issue=10&rft.spage=1301&rft.epage=1305&rft.pages=1301-1305&rft.issn=1070-9908&rft.eissn=1558-2361&rft.coden=ISPLEM&rft_id=info:doi/10.1109/LSP.2016.2582199&rft_dat=%3Cproquest_RIE%3E4145323331%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1810939562&rft_id=info:pmid/&rft_ieee_id=7494639&rfr_iscdi=true |