Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence
Cell-free massive MIMO (CF-mMIMO) is regarded as one of the most promising wireless technologies for future applications. It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type co...
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Veröffentlicht in: | IEEE internet of things journal 2024-02, Vol.11 (4), p.7024-7039 |
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creator | Liu, Luyang Wu, Shaochuan Ye, Qiang Ma, Yongkui |
description | Cell-free massive MIMO (CF-mMIMO) is regarded as one of the most promising wireless technologies for future applications. It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type communication (HTC) and machine-type communication (MTC) poses a challenge to today's and future communication technologies, including CF-mMIMO. However, there have been few studies on the support of CF-mMIMO for HTC/MTC coexistence. In this article, we present a comprehensive resource allocation mechanism for CF-mMIMO with HTC/MTC coexistence, which consists of two components. First, to handle the device activity detection issue caused by the absence of orthogonal pilot sequence, we propose a pilot assignment scheme based on the continuous method and a device activity detection scheme based on the spatial separation characteristics of CF-mMIMO, aiming at reducing the activity detection error probability. Second, we formulate an multiobjective optimization problem (MOOP) and devise a power control method based on MOOP to deal with the conflict caused by the different service requirements of HTC and MTC. Numerical results show that the proposed pilot assignment scheme outperforms the comparable pilot assignment schemes in terms of activity detection error probability. In addition, combined with the proposed pilot assignment scheme, the devised MOOP power control method leads to higher HTC normalized sum rate and MTC energy efficiency than the comparable power control methods. |
doi_str_mv | 10.1109/JIOT.2023.3314114 |
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It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type communication (HTC) and machine-type communication (MTC) poses a challenge to today's and future communication technologies, including CF-mMIMO. However, there have been few studies on the support of CF-mMIMO for HTC/MTC coexistence. In this article, we present a comprehensive resource allocation mechanism for CF-mMIMO with HTC/MTC coexistence, which consists of two components. First, to handle the device activity detection issue caused by the absence of orthogonal pilot sequence, we propose a pilot assignment scheme based on the continuous method and a device activity detection scheme based on the spatial separation characteristics of CF-mMIMO, aiming at reducing the activity detection error probability. Second, we formulate an multiobjective optimization problem (MOOP) and devise a power control method based on MOOP to deal with the conflict caused by the different service requirements of HTC and MTC. Numerical results show that the proposed pilot assignment scheme outperforms the comparable pilot assignment schemes in terms of activity detection error probability. In addition, combined with the proposed pilot assignment scheme, the devised MOOP power control method leads to higher HTC normalized sum rate and MTC energy efficiency than the comparable power control methods.</description><identifier>ISSN: 2327-4662</identifier><identifier>EISSN: 2327-4662</identifier><identifier>DOI: 10.1109/JIOT.2023.3314114</identifier><identifier>CODEN: IITJAU</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Cell-free massive MIMO (CF-mMIMO) ; Cellular communication ; Communication ; Control methods ; Data communication ; Energy efficiency ; Error detection ; human-type communication (HTC)/machine-type communication (MTC) coexistence ; Massive MIMO ; MIMO (control systems) ; MIMO communication ; multiobjective optimization problem (MOOP) ; Multiple objective analysis ; Power control ; Power demand ; Power management ; Quality of service architectures ; Resource allocation ; Resource management ; Uplink ; Wireless networks</subject><ispartof>IEEE internet of things journal, 2024-02, Vol.11 (4), p.7024-7039</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c294t-224361d1fc7963fafa7fa9beb5ac68dad4f45d35fc709194555a39bdbedc06c43</citedby><cites>FETCH-LOGICAL-c294t-224361d1fc7963fafa7fa9beb5ac68dad4f45d35fc709194555a39bdbedc06c43</cites><orcidid>0000-0002-2362-3126 ; 0000-0001-6311-5970</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10247257$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10247257$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu, Luyang</creatorcontrib><creatorcontrib>Wu, Shaochuan</creatorcontrib><creatorcontrib>Ye, Qiang</creatorcontrib><creatorcontrib>Ma, Yongkui</creatorcontrib><title>Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence</title><title>IEEE internet of things journal</title><addtitle>JIoT</addtitle><description>Cell-free massive MIMO (CF-mMIMO) is regarded as one of the most promising wireless technologies for future applications. It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type communication (HTC) and machine-type communication (MTC) poses a challenge to today's and future communication technologies, including CF-mMIMO. However, there have been few studies on the support of CF-mMIMO for HTC/MTC coexistence. In this article, we present a comprehensive resource allocation mechanism for CF-mMIMO with HTC/MTC coexistence, which consists of two components. First, to handle the device activity detection issue caused by the absence of orthogonal pilot sequence, we propose a pilot assignment scheme based on the continuous method and a device activity detection scheme based on the spatial separation characteristics of CF-mMIMO, aiming at reducing the activity detection error probability. Second, we formulate an multiobjective optimization problem (MOOP) and devise a power control method based on MOOP to deal with the conflict caused by the different service requirements of HTC and MTC. Numerical results show that the proposed pilot assignment scheme outperforms the comparable pilot assignment schemes in terms of activity detection error probability. In addition, combined with the proposed pilot assignment scheme, the devised MOOP power control method leads to higher HTC normalized sum rate and MTC energy efficiency than the comparable power control methods.</description><subject>Cell-free massive MIMO (CF-mMIMO)</subject><subject>Cellular communication</subject><subject>Communication</subject><subject>Control methods</subject><subject>Data communication</subject><subject>Energy efficiency</subject><subject>Error detection</subject><subject>human-type communication (HTC)/machine-type communication (MTC) coexistence</subject><subject>Massive MIMO</subject><subject>MIMO (control systems)</subject><subject>MIMO communication</subject><subject>multiobjective optimization problem (MOOP)</subject><subject>Multiple objective analysis</subject><subject>Power control</subject><subject>Power demand</subject><subject>Power management</subject><subject>Quality of service architectures</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>Uplink</subject><subject>Wireless networks</subject><issn>2327-4662</issn><issn>2327-4662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1rwkAQhpfSQsX6Awo9LPQc3a8k7lFCrRZFD2l7XDbJbBuJWbsb-_Hvu0EPnuaFed4ZeBC6p2RMKZGTl-UmHzPC-JhzKigVV2jAOEsjkSTs-iLfopH3O0JIqMVUJgP0tq0b2-GZ9_VHu4e2w7qt8Nb-gMOZbTtnG2xsyNA00dwB4LUO7HeYy_UGv9fdJ17k2WSdZ4GH39p30JZwh26MbjyMznOIXudPebaIVpvnZTZbRSWToosYEzyhFTVlKhNutNGp0bKAItZlMq10JYyIKx6HPZFUijiONZdFVUBVkqQUfIgeT3cPzn4dwXdqZ4-uDS8Vk4xTKqdpT9ETVTrrvQOjDq7ea_enKFG9QdUbVL1BdTYYOg-nTg0AFzwTKYtT_g8DQWtt</recordid><startdate>20240215</startdate><enddate>20240215</enddate><creator>Liu, Luyang</creator><creator>Wu, Shaochuan</creator><creator>Ye, Qiang</creator><creator>Ma, Yongkui</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>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-2362-3126</orcidid><orcidid>https://orcid.org/0000-0001-6311-5970</orcidid></search><sort><creationdate>20240215</creationdate><title>Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence</title><author>Liu, Luyang ; Wu, Shaochuan ; Ye, Qiang ; Ma, Yongkui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c294t-224361d1fc7963fafa7fa9beb5ac68dad4f45d35fc709194555a39bdbedc06c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Cell-free massive MIMO (CF-mMIMO)</topic><topic>Cellular communication</topic><topic>Communication</topic><topic>Control methods</topic><topic>Data communication</topic><topic>Energy efficiency</topic><topic>Error detection</topic><topic>human-type communication (HTC)/machine-type communication (MTC) coexistence</topic><topic>Massive MIMO</topic><topic>MIMO (control systems)</topic><topic>MIMO communication</topic><topic>multiobjective optimization problem (MOOP)</topic><topic>Multiple objective analysis</topic><topic>Power control</topic><topic>Power demand</topic><topic>Power management</topic><topic>Quality of service architectures</topic><topic>Resource allocation</topic><topic>Resource management</topic><topic>Uplink</topic><topic>Wireless networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Luyang</creatorcontrib><creatorcontrib>Wu, Shaochuan</creatorcontrib><creatorcontrib>Ye, Qiang</creatorcontrib><creatorcontrib>Ma, Yongkui</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>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><jtitle>IEEE internet of things journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Luyang</au><au>Wu, Shaochuan</au><au>Ye, Qiang</au><au>Ma, Yongkui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence</atitle><jtitle>IEEE internet of things journal</jtitle><stitle>JIoT</stitle><date>2024-02-15</date><risdate>2024</risdate><volume>11</volume><issue>4</issue><spage>7024</spage><epage>7039</epage><pages>7024-7039</pages><issn>2327-4662</issn><eissn>2327-4662</eissn><coden>IITJAU</coden><abstract>Cell-free massive MIMO (CF-mMIMO) is regarded as one of the most promising wireless technologies for future applications. It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type communication (HTC) and machine-type communication (MTC) poses a challenge to today's and future communication technologies, including CF-mMIMO. However, there have been few studies on the support of CF-mMIMO for HTC/MTC coexistence. In this article, we present a comprehensive resource allocation mechanism for CF-mMIMO with HTC/MTC coexistence, which consists of two components. First, to handle the device activity detection issue caused by the absence of orthogonal pilot sequence, we propose a pilot assignment scheme based on the continuous method and a device activity detection scheme based on the spatial separation characteristics of CF-mMIMO, aiming at reducing the activity detection error probability. Second, we formulate an multiobjective optimization problem (MOOP) and devise a power control method based on MOOP to deal with the conflict caused by the different service requirements of HTC and MTC. Numerical results show that the proposed pilot assignment scheme outperforms the comparable pilot assignment schemes in terms of activity detection error probability. In addition, combined with the proposed pilot assignment scheme, the devised MOOP power control method leads to higher HTC normalized sum rate and MTC energy efficiency than the comparable power control methods.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JIOT.2023.3314114</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-2362-3126</orcidid><orcidid>https://orcid.org/0000-0001-6311-5970</orcidid></addata></record> |
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subjects | Cell-free massive MIMO (CF-mMIMO) Cellular communication Communication Control methods Data communication Energy efficiency Error detection human-type communication (HTC)/machine-type communication (MTC) coexistence Massive MIMO MIMO (control systems) MIMO communication multiobjective optimization problem (MOOP) Multiple objective analysis Power control Power demand Power management Quality of service architectures Resource allocation Resource management Uplink Wireless networks |
title | Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence |
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