MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how
Mobile communications are preparing for the incredible changes from 4 th Generation (4G) to 5 th Generation (5G) in the coming years. In this new generation, co-channel interference is one of the critical challenges to be tackled due to network densification by providing high data rates through seve...
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Veröffentlicht in: | Telecommunication systems 2021-03, Vol.76 (3), p.391-402 |
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creator | de Melo, Yuri V. L. de Sousa, Vicente A. Maciel, Tarcisio F. |
description | Mobile communications are preparing for the incredible changes from
4
th
Generation (4G)
to
5
th
Generation (5G)
in the coming years. In this new generation, co-channel interference is one of the critical challenges to be tackled due to network densification by providing high data rates through several macro and small cells working together, configuring the so-called
Heterogeneous Network (HetNet)
. The umbrella of 3GPP system (including LTE and its evolution towards 5G) provides the
Almost Blank Subframe (ABS)
as a scheme of the
Enhanced Inter-Cell Interference Coordination (e-ICIC)
framework to mitigate interference among macro and small cells. The ABS mutes some of the macro cell transmissions in selected subframes to decrease interference to small cells, thus orthogonalizing macro and small cell transmissions in time-domain. In this paper, we use a
moving average convergence/divergence
technique based on trading know-how to propose a
real time ABS e-ICIC
algorithm. Our proof-of-concept simulation results show relative capacity gains of 112% compared to the case without
ABS
. |
doi_str_mv | 10.1007/s11235-020-00725-2 |
format | Article |
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4
th
Generation (4G)
to
5
th
Generation (5G)
in the coming years. In this new generation, co-channel interference is one of the critical challenges to be tackled due to network densification by providing high data rates through several macro and small cells working together, configuring the so-called
Heterogeneous Network (HetNet)
. The umbrella of 3GPP system (including LTE and its evolution towards 5G) provides the
Almost Blank Subframe (ABS)
as a scheme of the
Enhanced Inter-Cell Interference Coordination (e-ICIC)
framework to mitigate interference among macro and small cells. The ABS mutes some of the macro cell transmissions in selected subframes to decrease interference to small cells, thus orthogonalizing macro and small cell transmissions in time-domain. In this paper, we use a
moving average convergence/divergence
technique based on trading know-how to propose a
real time ABS e-ICIC
algorithm. Our proof-of-concept simulation results show relative capacity gains of 112% compared to the case without
ABS
.</description><identifier>ISSN: 1018-4864</identifier><identifier>EISSN: 1572-9451</identifier><identifier>DOI: 10.1007/s11235-020-00725-2</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Artificial Intelligence ; Business and Management ; Cochannel interference ; Computer Communication Networks ; Coordination ; Densification ; IT in Business ; Mobile communication systems ; Probability Theory and Stochastic Processes ; Subframes ; Telecommunications systems ; Wireless communications</subject><ispartof>Telecommunication systems, 2021-03, Vol.76 (3), p.391-402</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-a9a42a9a7c899834c4eb688d7970d4212f6d66bcc99fd2bd704f0e194fe977f03</cites><orcidid>0000-0003-2859-6136</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11235-020-00725-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11235-020-00725-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>de Melo, Yuri V. L.</creatorcontrib><creatorcontrib>de Sousa, Vicente A.</creatorcontrib><creatorcontrib>Maciel, Tarcisio F.</creatorcontrib><title>MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how</title><title>Telecommunication systems</title><addtitle>Telecommun Syst</addtitle><description>Mobile communications are preparing for the incredible changes from
4
th
Generation (4G)
to
5
th
Generation (5G)
in the coming years. In this new generation, co-channel interference is one of the critical challenges to be tackled due to network densification by providing high data rates through several macro and small cells working together, configuring the so-called
Heterogeneous Network (HetNet)
. The umbrella of 3GPP system (including LTE and its evolution towards 5G) provides the
Almost Blank Subframe (ABS)
as a scheme of the
Enhanced Inter-Cell Interference Coordination (e-ICIC)
framework to mitigate interference among macro and small cells. The ABS mutes some of the macro cell transmissions in selected subframes to decrease interference to small cells, thus orthogonalizing macro and small cell transmissions in time-domain. In this paper, we use a
moving average convergence/divergence
technique based on trading know-how to propose a
real time ABS e-ICIC
algorithm. Our proof-of-concept simulation results show relative capacity gains of 112% compared to the case without
ABS
.</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Business and Management</subject><subject>Cochannel interference</subject><subject>Computer Communication Networks</subject><subject>Coordination</subject><subject>Densification</subject><subject>IT in Business</subject><subject>Mobile communication systems</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Subframes</subject><subject>Telecommunications systems</subject><subject>Wireless communications</subject><issn>1018-4864</issn><issn>1572-9451</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtLAzEUhYMoWKt_wFXAdTTJZCYTd2VstVBxU9chk0c71SY1mVL6700dwZ2L-4LvnAsHgFuC7wnG_CERQosSYYpRPmmJ6BkYkZJTJFhJzvOOSY1YXbFLcJXSBuOTTIyAfJ00T9CieTNvHqGC5ujVttNwsZzCzvc2Ohut1xbqEKLpvOq74OHW9utgYKuSNTDffWYMVLn6qDK1gh8-HNA6HK7BhVOfyd78zjF4n02XzQtavD3Pm8kCacpxj5RQjObGdS1EXTDNbFvVteGCY8Mooa4yVdVqLYQztDUcM4ctEcxZwbnDxRjcDb67GL72NvVyE_bR55eSMkFZJTgtMkUHSseQUrRO7mK3VfEoCZanROQQpMxByp8gJc2iYhClDPuVjX_W_6i-AaLEdJU</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>de Melo, Yuri V. 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L. ; de Sousa, Vicente A. ; Maciel, Tarcisio F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-a9a42a9a7c899834c4eb688d7970d4212f6d66bcc99fd2bd704f0e194fe977f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Business and Management</topic><topic>Cochannel interference</topic><topic>Computer Communication Networks</topic><topic>Coordination</topic><topic>Densification</topic><topic>IT in Business</topic><topic>Mobile communication systems</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Subframes</topic><topic>Telecommunications systems</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Melo, Yuri V. 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L.</au><au>de Sousa, Vicente A.</au><au>Maciel, Tarcisio F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how</atitle><jtitle>Telecommunication systems</jtitle><stitle>Telecommun Syst</stitle><date>2021-03-01</date><risdate>2021</risdate><volume>76</volume><issue>3</issue><spage>391</spage><epage>402</epage><pages>391-402</pages><issn>1018-4864</issn><eissn>1572-9451</eissn><abstract>Mobile communications are preparing for the incredible changes from
4
th
Generation (4G)
to
5
th
Generation (5G)
in the coming years. In this new generation, co-channel interference is one of the critical challenges to be tackled due to network densification by providing high data rates through several macro and small cells working together, configuring the so-called
Heterogeneous Network (HetNet)
. The umbrella of 3GPP system (including LTE and its evolution towards 5G) provides the
Almost Blank Subframe (ABS)
as a scheme of the
Enhanced Inter-Cell Interference Coordination (e-ICIC)
framework to mitigate interference among macro and small cells. The ABS mutes some of the macro cell transmissions in selected subframes to decrease interference to small cells, thus orthogonalizing macro and small cell transmissions in time-domain. In this paper, we use a
moving average convergence/divergence
technique based on trading know-how to propose a
real time ABS e-ICIC
algorithm. Our proof-of-concept simulation results show relative capacity gains of 112% compared to the case without
ABS
.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11235-020-00725-2</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2859-6136</orcidid></addata></record> |
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subjects | Algorithms Artificial Intelligence Business and Management Cochannel interference Computer Communication Networks Coordination Densification IT in Business Mobile communication systems Probability Theory and Stochastic Processes Subframes Telecommunications systems Wireless communications |
title | MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how |
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