Downlink Power Optimization for Cell-Free Massive MIMO Over Spatially Correlated Rayleigh Fading Channels
Cell-free massive multiple-input multiple-output (mMIMO) is regarded as a promising technology in the future wireless communication. This paper aims to minimize the downlink power consumption of cell-free mMIMO system under the downlink rate constraints of users and the power constraints of per-ante...
Gespeichert in:
Veröffentlicht in: | IEEE access 2020, Vol.8, p.56214-56227 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 56227 |
---|---|
container_issue | |
container_start_page | 56214 |
container_title | IEEE access |
container_volume | 8 |
creator | Qiu, Jiahua Xu, Kui Xia, Xiaochen Shen, Zhexian Xie, Wei |
description | Cell-free massive multiple-input multiple-output (mMIMO) is regarded as a promising technology in the future wireless communication. This paper aims to minimize the downlink power consumption of cell-free mMIMO system under the downlink rate constraints of users and the power constraints of per-antenna over spatially correlated Rayleigh fading channels. Firstly, this paper studies the performance of two different downlink transmission modes: non-coherent joint transmission and coherent joint transmission. Then, for the two transmission modes, the corresponding downlink power optimization model is established and an efficient power optimization algorithm is proposed based on the Lagrange multiplier (LM) method. Under the power optimization model, this paper analyzes the impact of different factors on the downlink power consumption of cell-free mMIMO system. Simulation results show that coherent joint transmission performs better than non-coherent joint transmission on spectral efficiency (SE) and energy efficiency (EE). In addition, under the same power control strategy, the downlink power consumption of cell-free mMIMO is much lower than co-located mMIMO. Moreover, the total transmission power decreases when more antennas are utilized at each access point (AP) or spatial correlation of channels becomes weak. |
doi_str_mv | 10.1109/ACCESS.2020.2981967 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2453663988</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9042221</ieee_id><doaj_id>oai_doaj_org_article_ed88e53b0c6f414a8b5c1746f0682cf5</doaj_id><sourcerecordid>2453663988</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-6f26be508bdb6e2a65f2c702554590f420a7fc3efeea8a9f888e9ac11ee31c543</originalsourceid><addsrcrecordid>eNpNUV1v1DAQjBBIVKW_oC-WeM7h79iPVejBSa0OcfBsOc766sONDzttdfx6XFJV7MuuRjOzq52muSR4RQjWn676_nq3W1FM8YpqRbTs3jRnlEjdMsHk2__m981FKQdcS1VIdGdN-JyephimX-hbeoKMtsc53Ic_dg5pQj5l1EOM7ToDoFtbSnisfXO7RdvHSt4dK8_GeEJ9yhminWFE3-0pQtjfobUdw7RH_Z2dJojlQ_PO21jg4qWfNz_X1z_6r-3N9sumv7ppHcdqbqWncgCB1TAOEqiVwlPXYSoEFxp7TrHtvGPgAayy2iulQFtHCAAjTnB23mwW3zHZgznmcG_zySQbzD8g5b2xeQ4ugoGxigUbsJOeE27VIBzpuPRYKuq8qF4fF69jTr8foMzmkB7yVM83lNd_SqaVqiy2sFxOpWTwr1sJNs8RmSUi8xyReYmoqi4XVQCAV4XGnFJK2F-5EI0e</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2453663988</pqid></control><display><type>article</type><title>Downlink Power Optimization for Cell-Free Massive MIMO Over Spatially Correlated Rayleigh Fading Channels</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Qiu, Jiahua ; Xu, Kui ; Xia, Xiaochen ; Shen, Zhexian ; Xie, Wei</creator><creatorcontrib>Qiu, Jiahua ; Xu, Kui ; Xia, Xiaochen ; Shen, Zhexian ; Xie, Wei</creatorcontrib><description>Cell-free massive multiple-input multiple-output (mMIMO) is regarded as a promising technology in the future wireless communication. This paper aims to minimize the downlink power consumption of cell-free mMIMO system under the downlink rate constraints of users and the power constraints of per-antenna over spatially correlated Rayleigh fading channels. Firstly, this paper studies the performance of two different downlink transmission modes: non-coherent joint transmission and coherent joint transmission. Then, for the two transmission modes, the corresponding downlink power optimization model is established and an efficient power optimization algorithm is proposed based on the Lagrange multiplier (LM) method. Under the power optimization model, this paper analyzes the impact of different factors on the downlink power consumption of cell-free mMIMO system. Simulation results show that coherent joint transmission performs better than non-coherent joint transmission on spectral efficiency (SE) and energy efficiency (EE). In addition, under the same power control strategy, the downlink power consumption of cell-free mMIMO is much lower than co-located mMIMO. Moreover, the total transmission power decreases when more antennas are utilized at each access point (AP) or spatial correlation of channels becomes weak.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.2981967</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Antennas ; Cell-free mMIMO ; Channels ; Coherence ; coherent joint transmission ; Correlation ; Downlink ; Downlinking ; energy efficiency ; Fading ; Fading channels ; Impact analysis ; Lagrange multiplier ; MIMO (control systems) ; non-coherent joint transmission ; Optimization ; Power consumption ; Power control ; Power demand ; power optimization and spatial correlation ; Wireless communications</subject><ispartof>IEEE access, 2020, Vol.8, p.56214-56227</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-6f26be508bdb6e2a65f2c702554590f420a7fc3efeea8a9f888e9ac11ee31c543</citedby><cites>FETCH-LOGICAL-c408t-6f26be508bdb6e2a65f2c702554590f420a7fc3efeea8a9f888e9ac11ee31c543</cites><orcidid>0000-0002-7079-1755 ; 0000-0002-9173-6499 ; 0000-0003-4830-8672 ; 0000-0003-4372-6971 ; 0000-0002-2186-4655</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9042221$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Qiu, Jiahua</creatorcontrib><creatorcontrib>Xu, Kui</creatorcontrib><creatorcontrib>Xia, Xiaochen</creatorcontrib><creatorcontrib>Shen, Zhexian</creatorcontrib><creatorcontrib>Xie, Wei</creatorcontrib><title>Downlink Power Optimization for Cell-Free Massive MIMO Over Spatially Correlated Rayleigh Fading Channels</title><title>IEEE access</title><addtitle>Access</addtitle><description>Cell-free massive multiple-input multiple-output (mMIMO) is regarded as a promising technology in the future wireless communication. This paper aims to minimize the downlink power consumption of cell-free mMIMO system under the downlink rate constraints of users and the power constraints of per-antenna over spatially correlated Rayleigh fading channels. Firstly, this paper studies the performance of two different downlink transmission modes: non-coherent joint transmission and coherent joint transmission. Then, for the two transmission modes, the corresponding downlink power optimization model is established and an efficient power optimization algorithm is proposed based on the Lagrange multiplier (LM) method. Under the power optimization model, this paper analyzes the impact of different factors on the downlink power consumption of cell-free mMIMO system. Simulation results show that coherent joint transmission performs better than non-coherent joint transmission on spectral efficiency (SE) and energy efficiency (EE). In addition, under the same power control strategy, the downlink power consumption of cell-free mMIMO is much lower than co-located mMIMO. Moreover, the total transmission power decreases when more antennas are utilized at each access point (AP) or spatial correlation of channels becomes weak.</description><subject>Algorithms</subject><subject>Antennas</subject><subject>Cell-free mMIMO</subject><subject>Channels</subject><subject>Coherence</subject><subject>coherent joint transmission</subject><subject>Correlation</subject><subject>Downlink</subject><subject>Downlinking</subject><subject>energy efficiency</subject><subject>Fading</subject><subject>Fading channels</subject><subject>Impact analysis</subject><subject>Lagrange multiplier</subject><subject>MIMO (control systems)</subject><subject>non-coherent joint transmission</subject><subject>Optimization</subject><subject>Power consumption</subject><subject>Power control</subject><subject>Power demand</subject><subject>power optimization and spatial correlation</subject><subject>Wireless communications</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUV1v1DAQjBBIVKW_oC-WeM7h79iPVejBSa0OcfBsOc766sONDzttdfx6XFJV7MuuRjOzq52muSR4RQjWn676_nq3W1FM8YpqRbTs3jRnlEjdMsHk2__m981FKQdcS1VIdGdN-JyephimX-hbeoKMtsc53Ic_dg5pQj5l1EOM7ToDoFtbSnisfXO7RdvHSt4dK8_GeEJ9yhminWFE3-0pQtjfobUdw7RH_Z2dJojlQ_PO21jg4qWfNz_X1z_6r-3N9sumv7ppHcdqbqWncgCB1TAOEqiVwlPXYSoEFxp7TrHtvGPgAayy2iulQFtHCAAjTnB23mwW3zHZgznmcG_zySQbzD8g5b2xeQ4ugoGxigUbsJOeE27VIBzpuPRYKuq8qF4fF69jTr8foMzmkB7yVM83lNd_SqaVqiy2sFxOpWTwr1sJNs8RmSUi8xyReYmoqi4XVQCAV4XGnFJK2F-5EI0e</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Qiu, Jiahua</creator><creator>Xu, Kui</creator><creator>Xia, Xiaochen</creator><creator>Shen, Zhexian</creator><creator>Xie, Wei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7079-1755</orcidid><orcidid>https://orcid.org/0000-0002-9173-6499</orcidid><orcidid>https://orcid.org/0000-0003-4830-8672</orcidid><orcidid>https://orcid.org/0000-0003-4372-6971</orcidid><orcidid>https://orcid.org/0000-0002-2186-4655</orcidid></search><sort><creationdate>2020</creationdate><title>Downlink Power Optimization for Cell-Free Massive MIMO Over Spatially Correlated Rayleigh Fading Channels</title><author>Qiu, Jiahua ; Xu, Kui ; Xia, Xiaochen ; Shen, Zhexian ; Xie, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-6f26be508bdb6e2a65f2c702554590f420a7fc3efeea8a9f888e9ac11ee31c543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Antennas</topic><topic>Cell-free mMIMO</topic><topic>Channels</topic><topic>Coherence</topic><topic>coherent joint transmission</topic><topic>Correlation</topic><topic>Downlink</topic><topic>Downlinking</topic><topic>energy efficiency</topic><topic>Fading</topic><topic>Fading channels</topic><topic>Impact analysis</topic><topic>Lagrange multiplier</topic><topic>MIMO (control systems)</topic><topic>non-coherent joint transmission</topic><topic>Optimization</topic><topic>Power consumption</topic><topic>Power control</topic><topic>Power demand</topic><topic>power optimization and spatial correlation</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qiu, Jiahua</creatorcontrib><creatorcontrib>Xu, Kui</creatorcontrib><creatorcontrib>Xia, Xiaochen</creatorcontrib><creatorcontrib>Shen, Zhexian</creatorcontrib><creatorcontrib>Xie, Wei</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</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>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials 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>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qiu, Jiahua</au><au>Xu, Kui</au><au>Xia, Xiaochen</au><au>Shen, Zhexian</au><au>Xie, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Downlink Power Optimization for Cell-Free Massive MIMO Over Spatially Correlated Rayleigh Fading Channels</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>56214</spage><epage>56227</epage><pages>56214-56227</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Cell-free massive multiple-input multiple-output (mMIMO) is regarded as a promising technology in the future wireless communication. This paper aims to minimize the downlink power consumption of cell-free mMIMO system under the downlink rate constraints of users and the power constraints of per-antenna over spatially correlated Rayleigh fading channels. Firstly, this paper studies the performance of two different downlink transmission modes: non-coherent joint transmission and coherent joint transmission. Then, for the two transmission modes, the corresponding downlink power optimization model is established and an efficient power optimization algorithm is proposed based on the Lagrange multiplier (LM) method. Under the power optimization model, this paper analyzes the impact of different factors on the downlink power consumption of cell-free mMIMO system. Simulation results show that coherent joint transmission performs better than non-coherent joint transmission on spectral efficiency (SE) and energy efficiency (EE). In addition, under the same power control strategy, the downlink power consumption of cell-free mMIMO is much lower than co-located mMIMO. Moreover, the total transmission power decreases when more antennas are utilized at each access point (AP) or spatial correlation of channels becomes weak.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.2981967</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-7079-1755</orcidid><orcidid>https://orcid.org/0000-0002-9173-6499</orcidid><orcidid>https://orcid.org/0000-0003-4830-8672</orcidid><orcidid>https://orcid.org/0000-0003-4372-6971</orcidid><orcidid>https://orcid.org/0000-0002-2186-4655</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2020, Vol.8, p.56214-56227 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_proquest_journals_2453663988 |
source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Algorithms Antennas Cell-free mMIMO Channels Coherence coherent joint transmission Correlation Downlink Downlinking energy efficiency Fading Fading channels Impact analysis Lagrange multiplier MIMO (control systems) non-coherent joint transmission Optimization Power consumption Power control Power demand power optimization and spatial correlation Wireless communications |
title | Downlink Power Optimization for Cell-Free Massive MIMO Over Spatially Correlated Rayleigh Fading Channels |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T23%3A17%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Downlink%20Power%20Optimization%20for%20Cell-Free%20Massive%20MIMO%20Over%20Spatially%20Correlated%20Rayleigh%20Fading%20Channels&rft.jtitle=IEEE%20access&rft.au=Qiu,%20Jiahua&rft.date=2020&rft.volume=8&rft.spage=56214&rft.epage=56227&rft.pages=56214-56227&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.2981967&rft_dat=%3Cproquest_cross%3E2453663988%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2453663988&rft_id=info:pmid/&rft_ieee_id=9042221&rft_doaj_id=oai_doaj_org_article_ed88e53b0c6f414a8b5c1746f0682cf5&rfr_iscdi=true |