Loading…

Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel

Though the key technology for 5G communication is the massive Multiple input and multiple output (MIMO), it has a major drawback when the user generated inference signals are to be handled by several other users. When these interference signals are used in various users, issues concerning system abi...

Full description

Saved in:
Bibliographic Details
Published in:Transactions on emerging telecommunications technologies 2020-12, Vol.31 (12), p.n/a
Main Authors: Amutha, B, Malar, A Christy Jeba, Nanmaran, Karthick, Hussain, D. Mansoor, Jeyakrishnan, V, Karthikeyan, M.
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563
cites cdi_FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563
container_end_page n/a
container_issue 12
container_start_page
container_title Transactions on emerging telecommunications technologies
container_volume 31
creator Amutha, B
Malar, A Christy Jeba
Nanmaran, Karthick
Hussain, D. Mansoor
Jeyakrishnan, V
Karthikeyan, M.
description Though the key technology for 5G communication is the massive Multiple input and multiple output (MIMO), it has a major drawback when the user generated inference signals are to be handled by several other users. When these interference signals are used in various users, issues concerning system ability, power management issues and QoS related issues arises with the involvement of MIMO channel. Though internet of things (IoT) making use of MIMO is still under development, the requirements of the IoT is quite different when compared to several other connections. Thus, taking into account the demands, the solutions were framed with the help of the proposed system. One such solution is the Partition Square and Cross‐Processing method that can possess several antennas at the given destination. Based on this solution obtained the data rate can be drastically increased correspondingly reducing the power consumed thus producing the most desirable result with high signal to noise ratio (SNR). Best victory is another such solution that solves the issues relating to power reduction thereby providing the best solution with minimum SNR. These solutions produced by the proposed system still has some disadvantages with respect to the following case: when the number of destination antennas is less than the number of source antennas. This case is considered as most common in the model proposed. For the above‐mentioned case, near optimal solution is produced by both the algorithms. In this article, the transmitters are represented by the source antenna and the receiver is represented by the destination antenna. Thus, with the help of IoT connectivity, major benefits can be bought to the massive MIMO channel. optimal communication between the network and the end user by eliminating the interference signals in IoT MIMO channel.
doi_str_mv 10.1002/ett.4086
format article
fullrecord <record><control><sourceid>wiley_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1002_ett_4086</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ETT4086</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563</originalsourceid><addsrcrecordid>eNp1UD1PwzAQtRBIVKUSP8EjS4q_4iQjqgpUKupS5sixz60hcSrHperKL8dtGVi45d69e3dPegjdUzKlhLBHiHEqSCmv0IhRSTNe0fz6D75Fk2H4IKmKnOWiHKHvud8qr8FgA1_Q9rsOfMS9xbrvur13WkXXe9xAPAB4HLeAfcJ9-MTKm_MMqe8HCLg5Ymhd53y68ZvzzvkIwUKAZIEHt_GqHRKJ3xZvK6yTs4f2Dt3YRMPkt4_R-_N8PXvNlquXxexpmWlaEplJTgS3ElhDc84qXhhDaFHaolJVISkXmhliDRONVLQyupBEKNFYRXJGRS75GD1c_urQD0MAW--C61Q41pTUp_jqFF99ii9Js4v04Fo4_qur5-v1Wf8DJCxyOg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>Amutha, B ; Malar, A Christy Jeba ; Nanmaran, Karthick ; Hussain, D. Mansoor ; Jeyakrishnan, V ; Karthikeyan, M.</creator><creatorcontrib>Amutha, B ; Malar, A Christy Jeba ; Nanmaran, Karthick ; Hussain, D. Mansoor ; Jeyakrishnan, V ; Karthikeyan, M.</creatorcontrib><description>Though the key technology for 5G communication is the massive Multiple input and multiple output (MIMO), it has a major drawback when the user generated inference signals are to be handled by several other users. When these interference signals are used in various users, issues concerning system ability, power management issues and QoS related issues arises with the involvement of MIMO channel. Though internet of things (IoT) making use of MIMO is still under development, the requirements of the IoT is quite different when compared to several other connections. Thus, taking into account the demands, the solutions were framed with the help of the proposed system. One such solution is the Partition Square and Cross‐Processing method that can possess several antennas at the given destination. Based on this solution obtained the data rate can be drastically increased correspondingly reducing the power consumed thus producing the most desirable result with high signal to noise ratio (SNR). Best victory is another such solution that solves the issues relating to power reduction thereby providing the best solution with minimum SNR. These solutions produced by the proposed system still has some disadvantages with respect to the following case: when the number of destination antennas is less than the number of source antennas. This case is considered as most common in the model proposed. For the above‐mentioned case, near optimal solution is produced by both the algorithms. In this article, the transmitters are represented by the source antenna and the receiver is represented by the destination antenna. Thus, with the help of IoT connectivity, major benefits can be bought to the massive MIMO channel. optimal communication between the network and the end user by eliminating the interference signals in IoT MIMO channel.</description><identifier>ISSN: 2161-3915</identifier><identifier>EISSN: 2161-3915</identifier><identifier>DOI: 10.1002/ett.4086</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><ispartof>Transactions on emerging telecommunications technologies, 2020-12, Vol.31 (12), p.n/a</ispartof><rights>2020 John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563</citedby><cites>FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563</cites><orcidid>0000-0002-7765-7583</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Amutha, B</creatorcontrib><creatorcontrib>Malar, A Christy Jeba</creatorcontrib><creatorcontrib>Nanmaran, Karthick</creatorcontrib><creatorcontrib>Hussain, D. Mansoor</creatorcontrib><creatorcontrib>Jeyakrishnan, V</creatorcontrib><creatorcontrib>Karthikeyan, M.</creatorcontrib><title>Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel</title><title>Transactions on emerging telecommunications technologies</title><description>Though the key technology for 5G communication is the massive Multiple input and multiple output (MIMO), it has a major drawback when the user generated inference signals are to be handled by several other users. When these interference signals are used in various users, issues concerning system ability, power management issues and QoS related issues arises with the involvement of MIMO channel. Though internet of things (IoT) making use of MIMO is still under development, the requirements of the IoT is quite different when compared to several other connections. Thus, taking into account the demands, the solutions were framed with the help of the proposed system. One such solution is the Partition Square and Cross‐Processing method that can possess several antennas at the given destination. Based on this solution obtained the data rate can be drastically increased correspondingly reducing the power consumed thus producing the most desirable result with high signal to noise ratio (SNR). Best victory is another such solution that solves the issues relating to power reduction thereby providing the best solution with minimum SNR. These solutions produced by the proposed system still has some disadvantages with respect to the following case: when the number of destination antennas is less than the number of source antennas. This case is considered as most common in the model proposed. For the above‐mentioned case, near optimal solution is produced by both the algorithms. In this article, the transmitters are represented by the source antenna and the receiver is represented by the destination antenna. Thus, with the help of IoT connectivity, major benefits can be bought to the massive MIMO channel. optimal communication between the network and the end user by eliminating the interference signals in IoT MIMO channel.</description><issn>2161-3915</issn><issn>2161-3915</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1UD1PwzAQtRBIVKUSP8EjS4q_4iQjqgpUKupS5sixz60hcSrHperKL8dtGVi45d69e3dPegjdUzKlhLBHiHEqSCmv0IhRSTNe0fz6D75Fk2H4IKmKnOWiHKHvud8qr8FgA1_Q9rsOfMS9xbrvur13WkXXe9xAPAB4HLeAfcJ9-MTKm_MMqe8HCLg5Ymhd53y68ZvzzvkIwUKAZIEHt_GqHRKJ3xZvK6yTs4f2Dt3YRMPkt4_R-_N8PXvNlquXxexpmWlaEplJTgS3ElhDc84qXhhDaFHaolJVISkXmhliDRONVLQyupBEKNFYRXJGRS75GD1c_urQD0MAW--C61Q41pTUp_jqFF99ii9Js4v04Fo4_qur5-v1Wf8DJCxyOg</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Amutha, B</creator><creator>Malar, A Christy Jeba</creator><creator>Nanmaran, Karthick</creator><creator>Hussain, D. Mansoor</creator><creator>Jeyakrishnan, V</creator><creator>Karthikeyan, M.</creator><general>John Wiley &amp; Sons, Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7765-7583</orcidid></search><sort><creationdate>202012</creationdate><title>Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel</title><author>Amutha, B ; Malar, A Christy Jeba ; Nanmaran, Karthick ; Hussain, D. Mansoor ; Jeyakrishnan, V ; Karthikeyan, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amutha, B</creatorcontrib><creatorcontrib>Malar, A Christy Jeba</creatorcontrib><creatorcontrib>Nanmaran, Karthick</creatorcontrib><creatorcontrib>Hussain, D. Mansoor</creatorcontrib><creatorcontrib>Jeyakrishnan, V</creatorcontrib><creatorcontrib>Karthikeyan, M.</creatorcontrib><collection>CrossRef</collection><jtitle>Transactions on emerging telecommunications technologies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amutha, B</au><au>Malar, A Christy Jeba</au><au>Nanmaran, Karthick</au><au>Hussain, D. Mansoor</au><au>Jeyakrishnan, V</au><au>Karthikeyan, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel</atitle><jtitle>Transactions on emerging telecommunications technologies</jtitle><date>2020-12</date><risdate>2020</risdate><volume>31</volume><issue>12</issue><epage>n/a</epage><issn>2161-3915</issn><eissn>2161-3915</eissn><abstract>Though the key technology for 5G communication is the massive Multiple input and multiple output (MIMO), it has a major drawback when the user generated inference signals are to be handled by several other users. When these interference signals are used in various users, issues concerning system ability, power management issues and QoS related issues arises with the involvement of MIMO channel. Though internet of things (IoT) making use of MIMO is still under development, the requirements of the IoT is quite different when compared to several other connections. Thus, taking into account the demands, the solutions were framed with the help of the proposed system. One such solution is the Partition Square and Cross‐Processing method that can possess several antennas at the given destination. Based on this solution obtained the data rate can be drastically increased correspondingly reducing the power consumed thus producing the most desirable result with high signal to noise ratio (SNR). Best victory is another such solution that solves the issues relating to power reduction thereby providing the best solution with minimum SNR. These solutions produced by the proposed system still has some disadvantages with respect to the following case: when the number of destination antennas is less than the number of source antennas. This case is considered as most common in the model proposed. For the above‐mentioned case, near optimal solution is produced by both the algorithms. In this article, the transmitters are represented by the source antenna and the receiver is represented by the destination antenna. Thus, with the help of IoT connectivity, major benefits can be bought to the massive MIMO channel. optimal communication between the network and the end user by eliminating the interference signals in IoT MIMO channel.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/ett.4086</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-7765-7583</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2161-3915
ispartof Transactions on emerging telecommunications technologies, 2020-12, Vol.31 (12), p.n/a
issn 2161-3915
2161-3915
language eng
recordid cdi_crossref_primary_10_1002_ett_4086
source Wiley-Blackwell Read & Publish Collection
title Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T17%3A13%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Enhanced%20development%20of%20communication%20between%20the%20network%20and%20the%20end%20user%20by%20eliminating%20the%20interference%20signals%20in%20MIMO%20channel&rft.jtitle=Transactions%20on%20emerging%20telecommunications%20technologies&rft.au=Amutha,%20B&rft.date=2020-12&rft.volume=31&rft.issue=12&rft.epage=n/a&rft.issn=2161-3915&rft.eissn=2161-3915&rft_id=info:doi/10.1002/ett.4086&rft_dat=%3Cwiley_cross%3EETT4086%3C/wiley_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1806-63043f6e2b1532937dd0178f79a976134c2d0fd24b6a19dc7604a4bfa05214563%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true