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Multiuser Massive MIMO Systems with Time-Offset Pilots and Successive Interference Cancellation
This paper proposes time-offset pilots for a single-cell multiuser massive multiple-input multiple-output (MIMO) system and studies its performance under the minimum mean-squared error channel estimator and successive interference cancellation. With the proposed time-offset pilots, users are divided...
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Published in: | IEEE access 2019-01, Vol.7, p.1-1 |
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description | This paper proposes time-offset pilots for a single-cell multiuser massive multiple-input multiple-output (MIMO) system and studies its performance under the minimum mean-squared error channel estimator and successive interference cancellation. With the proposed time-offset pilots, users are divided into two groups and the uplink pilots from one group are transmitted simultaneously with the uplink data of the other group, which allows the system to accommodate more users for a given number of pilots. Successive interference cancellation is developed to ease the effect of pilot contamination and enhance data detection. Closed-form expressions for lower bounds of the uplink spectral efficiencies in both the training and data phases are derived when the maximum-ratio combining receiver is used at the base station. The power control problem is formulated with the objective of either maximizing the quality of service that can be equally provided to all users, or minimizing the total transmit power. Since the original power control problems are NP-hard, we also propose algorithms based on the bisection method to solve the problems separately in training and data phases. Analysis and numerical results show that the effect of pilot contamination can be mitigated by successive interference cancellation and proper power control. |
doi_str_mv | 10.1109/ACCESS.2019.2940458 |
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With the proposed time-offset pilots, users are divided into two groups and the uplink pilots from one group are transmitted simultaneously with the uplink data of the other group, which allows the system to accommodate more users for a given number of pilots. Successive interference cancellation is developed to ease the effect of pilot contamination and enhance data detection. Closed-form expressions for lower bounds of the uplink spectral efficiencies in both the training and data phases are derived when the maximum-ratio combining receiver is used at the base station. The power control problem is formulated with the objective of either maximizing the quality of service that can be equally provided to all users, or minimizing the total transmit power. Since the original power control problems are NP-hard, we also propose algorithms based on the bisection method to solve the problems separately in training and data phases. Analysis and numerical results show that the effect of pilot contamination can be mitigated by successive interference cancellation and proper power control.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2019.2940458</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Cancellation ; Channel estimation ; Codes ; Coherence ; Contamination ; energy efficiency ; Interference ; Interference cancellation ; Lower bounds ; Massive MIMO ; MIMO (control systems) ; optimization ; pilot design ; Pilots ; Power control ; single-cell networks ; spectrum efficiency ; Training</subject><ispartof>IEEE access, 2019-01, Vol.7, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-5ba378dd67e0a60b1e76d9391a0d5165ca7f376061d3468237bd0564573e18573</citedby><cites>FETCH-LOGICAL-c408t-5ba378dd67e0a60b1e76d9391a0d5165ca7f376061d3468237bd0564573e18573</cites><orcidid>0000-0003-0370-8648 ; 0000-0003-4743-5012</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8831383$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27610,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Nguyen, The Khai</creatorcontrib><creatorcontrib>Nguyen, Ha H.</creatorcontrib><creatorcontrib>Nguyen, Tien Hoa</creatorcontrib><title>Multiuser Massive MIMO Systems with Time-Offset Pilots and Successive Interference Cancellation</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper proposes time-offset pilots for a single-cell multiuser massive multiple-input multiple-output (MIMO) system and studies its performance under the minimum mean-squared error channel estimator and successive interference cancellation. With the proposed time-offset pilots, users are divided into two groups and the uplink pilots from one group are transmitted simultaneously with the uplink data of the other group, which allows the system to accommodate more users for a given number of pilots. Successive interference cancellation is developed to ease the effect of pilot contamination and enhance data detection. Closed-form expressions for lower bounds of the uplink spectral efficiencies in both the training and data phases are derived when the maximum-ratio combining receiver is used at the base station. The power control problem is formulated with the objective of either maximizing the quality of service that can be equally provided to all users, or minimizing the total transmit power. Since the original power control problems are NP-hard, we also propose algorithms based on the bisection method to solve the problems separately in training and data phases. Analysis and numerical results show that the effect of pilot contamination can be mitigated by successive interference cancellation and proper power control.</description><subject>Algorithms</subject><subject>Cancellation</subject><subject>Channel estimation</subject><subject>Codes</subject><subject>Coherence</subject><subject>Contamination</subject><subject>energy efficiency</subject><subject>Interference</subject><subject>Interference cancellation</subject><subject>Lower bounds</subject><subject>Massive MIMO</subject><subject>MIMO (control systems)</subject><subject>optimization</subject><subject>pilot design</subject><subject>Pilots</subject><subject>Power control</subject><subject>single-cell networks</subject><subject>spectrum efficiency</subject><subject>Training</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNUctKxEAQDKKgqF_gZcBz1nk_jhJ8LOyywup5mEw6Oks20ZmJ4t8bjYh9qG6KruqGKooLgheEYHN1XVU32-2CYmIW1HDMhT4oTiiRpmSCycN_83FxntIOT6UnSqiTwq7HLocxQURrl1J4B7Rerjdo-5ky7BP6CPkFPYY9lJu2TZDRQ-iGnJDrG7QdvYdZs-wzxBYi9B5Q5SbsOpfD0J8VR63rEpz_9tPi6fbmsbovV5u7ZXW9Kj3HOpeidkzpppEKsJO4JqBkY5ghDjeCSOGdapmSWJKGcakpU3WDheRCMSB6wtNiOfs2g9vZ1xj2Ln7awQX7Qwzx2bqYg-_AUm80r0ktBDbcaK0d85rVlACtMaVm8rqcvV7j8DZCynY3jLGf3reUCyEJx4pNW2ze8nFIKUL7d5Vg-x2MnYOx38HY32Am1cWsCgDwp9CaEaYZ-wJR-Ieb</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Nguyen, The Khai</creator><creator>Nguyen, Ha H.</creator><creator>Nguyen, Tien Hoa</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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With the proposed time-offset pilots, users are divided into two groups and the uplink pilots from one group are transmitted simultaneously with the uplink data of the other group, which allows the system to accommodate more users for a given number of pilots. Successive interference cancellation is developed to ease the effect of pilot contamination and enhance data detection. Closed-form expressions for lower bounds of the uplink spectral efficiencies in both the training and data phases are derived when the maximum-ratio combining receiver is used at the base station. The power control problem is formulated with the objective of either maximizing the quality of service that can be equally provided to all users, or minimizing the total transmit power. Since the original power control problems are NP-hard, we also propose algorithms based on the bisection method to solve the problems separately in training and data phases. Analysis and numerical results show that the effect of pilot contamination can be mitigated by successive interference cancellation and proper power control.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2019.2940458</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0370-8648</orcidid><orcidid>https://orcid.org/0000-0003-4743-5012</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Cancellation Channel estimation Codes Coherence Contamination energy efficiency Interference Interference cancellation Lower bounds Massive MIMO MIMO (control systems) optimization pilot design Pilots Power control single-cell networks spectrum efficiency Training |
title | Multiuser Massive MIMO Systems with Time-Offset Pilots and Successive Interference Cancellation |
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