Loading…

Performance analysis of uplink massive MIMO networks with a finite user density

In this paper, we conduct performance analysis for uplink (UL) massive multiple input and multiple output (mMI-MO) networks using stochastic geometry. With the consideration of practical system assumptions, such as sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-...

Full description

Saved in:
Bibliographic Details
Main Authors: Yao, Xuefeng, Ding, Ming, Perez, David Lopez, Lin, Zihuai, Mao, Guoqiang, Wu, Yi
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 6
container_issue
container_start_page 1
container_title
container_volume
creator Yao, Xuefeng
Ding, Ming
Perez, David Lopez
Lin, Zihuai
Mao, Guoqiang
Wu, Yi
description In this paper, we conduct performance analysis for uplink (UL) massive multiple input and multiple output (mMI-MO) networks using stochastic geometry. With the consideration of practical system assumptions, such as sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions and a finite user equipment (UE) density, we derive the coverage probability and the area spectral efficiency (ASE) performance. In particular, we adopt a practical user association strategy (UAS) based on the smallest pathloss since we differentiate LoS and NLoS transmissions, and we consider the correlation among the positions of UEs and base stations (BSs) in realistic networks. From our simulation and analytical results, we find that the performance impacts of the probabilistic LoS/NLoS transmissions and a finite UE density on UL mMIMO networks are significant. More specifically, the coverage probability performance suffers from a moderate decrease or even a severe degradation when the UE density becomes large in sparse mMIMO networks. Moreover, our results indicate that there exists an optimal BS density to maximize the sum spectral efficiency per BS. However, the ASE performance keeps growing with network densification.
doi_str_mv 10.1109/WCNC.2018.8377268
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_8377268</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8377268</ieee_id><sourcerecordid>8377268</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-ec953af99a34e6a706e56311747054edfef8f39a6a42916a537e5c1de55a67193</originalsourceid><addsrcrecordid>eNotj8tKw0AUQEdBsNZ-gLiZH0icm8m8lhJ8FFrjQtFduSR3cGyalJnUkr9XsKuzORw4jN2AyAGEu_uoXqq8EGBzK40ptD1jV6Ck1WBk-XnOZqCUzQoNxSVbpPQthPiTpLPFjNWvFP0Qd9g3xLHHbkoh8cHzw74L_ZbvMKXwQ3y9XNe8p_E4xG3ixzB-ceQ-9GEkfkgUeUt9CuN0zS48dokWJ87Z--PDW_WcreqnZXW_ygIYNWbUOCXRO4eyJI1GaFJaApjSCFVS68lbLx1qLAsHGpU0pBpoSSnUBpycs9v_biCizT6GHcZpc_qXv1RqTxM</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Performance analysis of uplink massive MIMO networks with a finite user density</title><source>IEEE Xplore All Conference Series</source><creator>Yao, Xuefeng ; Ding, Ming ; Perez, David Lopez ; Lin, Zihuai ; Mao, Guoqiang ; Wu, Yi</creator><creatorcontrib>Yao, Xuefeng ; Ding, Ming ; Perez, David Lopez ; Lin, Zihuai ; Mao, Guoqiang ; Wu, Yi</creatorcontrib><description>In this paper, we conduct performance analysis for uplink (UL) massive multiple input and multiple output (mMI-MO) networks using stochastic geometry. With the consideration of practical system assumptions, such as sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions and a finite user equipment (UE) density, we derive the coverage probability and the area spectral efficiency (ASE) performance. In particular, we adopt a practical user association strategy (UAS) based on the smallest pathloss since we differentiate LoS and NLoS transmissions, and we consider the correlation among the positions of UEs and base stations (BSs) in realistic networks. From our simulation and analytical results, we find that the performance impacts of the probabilistic LoS/NLoS transmissions and a finite UE density on UL mMIMO networks are significant. More specifically, the coverage probability performance suffers from a moderate decrease or even a severe degradation when the UE density becomes large in sparse mMIMO networks. Moreover, our results indicate that there exists an optimal BS density to maximize the sum spectral efficiency per BS. However, the ASE performance keeps growing with network densification.</description><identifier>EISSN: 1558-2612</identifier><identifier>EISBN: 153861734X</identifier><identifier>EISBN: 9781538617342</identifier><identifier>DOI: 10.1109/WCNC.2018.8377268</identifier><language>eng</language><publisher>IEEE</publisher><subject>Antennas ; Channel estimation ; Interference ; Partial transmit sequences ; Propagation losses ; Signal to noise ratio ; Uplink</subject><ispartof>2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018, p.1-6</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/8377268$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,23930,23931,25140,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8377268$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yao, Xuefeng</creatorcontrib><creatorcontrib>Ding, Ming</creatorcontrib><creatorcontrib>Perez, David Lopez</creatorcontrib><creatorcontrib>Lin, Zihuai</creatorcontrib><creatorcontrib>Mao, Guoqiang</creatorcontrib><creatorcontrib>Wu, Yi</creatorcontrib><title>Performance analysis of uplink massive MIMO networks with a finite user density</title><title>2018 IEEE Wireless Communications and Networking Conference (WCNC)</title><addtitle>WCNC</addtitle><description>In this paper, we conduct performance analysis for uplink (UL) massive multiple input and multiple output (mMI-MO) networks using stochastic geometry. With the consideration of practical system assumptions, such as sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions and a finite user equipment (UE) density, we derive the coverage probability and the area spectral efficiency (ASE) performance. In particular, we adopt a practical user association strategy (UAS) based on the smallest pathloss since we differentiate LoS and NLoS transmissions, and we consider the correlation among the positions of UEs and base stations (BSs) in realistic networks. From our simulation and analytical results, we find that the performance impacts of the probabilistic LoS/NLoS transmissions and a finite UE density on UL mMIMO networks are significant. More specifically, the coverage probability performance suffers from a moderate decrease or even a severe degradation when the UE density becomes large in sparse mMIMO networks. Moreover, our results indicate that there exists an optimal BS density to maximize the sum spectral efficiency per BS. However, the ASE performance keeps growing with network densification.</description><subject>Antennas</subject><subject>Channel estimation</subject><subject>Interference</subject><subject>Partial transmit sequences</subject><subject>Propagation losses</subject><subject>Signal to noise ratio</subject><subject>Uplink</subject><issn>1558-2612</issn><isbn>153861734X</isbn><isbn>9781538617342</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKw0AUQEdBsNZ-gLiZH0icm8m8lhJ8FFrjQtFduSR3cGyalJnUkr9XsKuzORw4jN2AyAGEu_uoXqq8EGBzK40ptD1jV6Ck1WBk-XnOZqCUzQoNxSVbpPQthPiTpLPFjNWvFP0Qd9g3xLHHbkoh8cHzw74L_ZbvMKXwQ3y9XNe8p_E4xG3ixzB-ceQ-9GEkfkgUeUt9CuN0zS48dokWJ87Z--PDW_WcreqnZXW_ygIYNWbUOCXRO4eyJI1GaFJaApjSCFVS68lbLx1qLAsHGpU0pBpoSSnUBpycs9v_biCizT6GHcZpc_qXv1RqTxM</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Yao, Xuefeng</creator><creator>Ding, Ming</creator><creator>Perez, David Lopez</creator><creator>Lin, Zihuai</creator><creator>Mao, Guoqiang</creator><creator>Wu, Yi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201804</creationdate><title>Performance analysis of uplink massive MIMO networks with a finite user density</title><author>Yao, Xuefeng ; Ding, Ming ; Perez, David Lopez ; Lin, Zihuai ; Mao, Guoqiang ; Wu, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ec953af99a34e6a706e56311747054edfef8f39a6a42916a537e5c1de55a67193</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Antennas</topic><topic>Channel estimation</topic><topic>Interference</topic><topic>Partial transmit sequences</topic><topic>Propagation losses</topic><topic>Signal to noise ratio</topic><topic>Uplink</topic><toplevel>online_resources</toplevel><creatorcontrib>Yao, Xuefeng</creatorcontrib><creatorcontrib>Ding, Ming</creatorcontrib><creatorcontrib>Perez, David Lopez</creatorcontrib><creatorcontrib>Lin, Zihuai</creatorcontrib><creatorcontrib>Mao, Guoqiang</creatorcontrib><creatorcontrib>Wu, Yi</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/IET Electronic Library</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>Yao, Xuefeng</au><au>Ding, Ming</au><au>Perez, David Lopez</au><au>Lin, Zihuai</au><au>Mao, Guoqiang</au><au>Wu, Yi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance analysis of uplink massive MIMO networks with a finite user density</atitle><btitle>2018 IEEE Wireless Communications and Networking Conference (WCNC)</btitle><stitle>WCNC</stitle><date>2018-04</date><risdate>2018</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><eissn>1558-2612</eissn><eisbn>153861734X</eisbn><eisbn>9781538617342</eisbn><abstract>In this paper, we conduct performance analysis for uplink (UL) massive multiple input and multiple output (mMI-MO) networks using stochastic geometry. With the consideration of practical system assumptions, such as sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions and a finite user equipment (UE) density, we derive the coverage probability and the area spectral efficiency (ASE) performance. In particular, we adopt a practical user association strategy (UAS) based on the smallest pathloss since we differentiate LoS and NLoS transmissions, and we consider the correlation among the positions of UEs and base stations (BSs) in realistic networks. From our simulation and analytical results, we find that the performance impacts of the probabilistic LoS/NLoS transmissions and a finite UE density on UL mMIMO networks are significant. More specifically, the coverage probability performance suffers from a moderate decrease or even a severe degradation when the UE density becomes large in sparse mMIMO networks. Moreover, our results indicate that there exists an optimal BS density to maximize the sum spectral efficiency per BS. However, the ASE performance keeps growing with network densification.</abstract><pub>IEEE</pub><doi>10.1109/WCNC.2018.8377268</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 1558-2612
ispartof 2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018, p.1-6
issn 1558-2612
language eng
recordid cdi_ieee_primary_8377268
source IEEE Xplore All Conference Series
subjects Antennas
Channel estimation
Interference
Partial transmit sequences
Propagation losses
Signal to noise ratio
Uplink
title Performance analysis of uplink massive MIMO networks with a finite user density
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T03%3A45%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Performance%20analysis%20of%20uplink%20massive%20MIMO%20networks%20with%20a%20finite%20user%20density&rft.btitle=2018%20IEEE%20Wireless%20Communications%20and%20Networking%20Conference%20(WCNC)&rft.au=Yao,%20Xuefeng&rft.date=2018-04&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.eissn=1558-2612&rft_id=info:doi/10.1109/WCNC.2018.8377268&rft.eisbn=153861734X&rft.eisbn_list=9781538617342&rft_dat=%3Cieee_CHZPO%3E8377268%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-ec953af99a34e6a706e56311747054edfef8f39a6a42916a537e5c1de55a67193%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=8377268&rfr_iscdi=true