Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D

Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of (Access Point) AP which will eventually result in a larger carbon footprint. In this paper, we propose a base station off-loading and cell range extension (CRE) scheme based on mu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computers, materials & continua materials & continua, 2021-01, Vol.68 (2), p.2075-2093
Hauptverfasser: Akif, Farah, Sultan, Kiran, N. Malik, Aqdas, M. Qureshi, Ijaz, Mahmood, Saba
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2093
container_issue 2
container_start_page 2075
container_title Computers, materials & continua
container_volume 68
creator Akif, Farah
Sultan, Kiran
N. Malik, Aqdas
M. Qureshi, Ijaz
Mahmood, Saba
description Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of (Access Point) AP which will eventually result in a larger carbon footprint. In this paper, we propose a base station off-loading and cell range extension (CRE) scheme based on multi-hop device-to-device (MHD2D) path selection between transmitter and receiver node. The paper also provides derivations of upper and lower bounds for energy efficiency, capacity, and transmit power. The proposed path selection scheme is inspired by the foraging behavior of honey bees. We present the algorithm as a modified variant of the artificial bee colony algorithm (MVABC). The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency (EE). The proposed path selection MVABC is compared with the Genetic Algorithm (GA) and also with classical artificial bee colony (ABC) through simulations and statistical analysis. The student’s t-test, p-value, and standard error of means (SEM) clearly show that MVABC based path selection out-performs the GA and classical ABC schemes. MVABC based approach is 66% more efficient when compared with classic ABC and about 62% efficient when compared with GA based scheme.
doi_str_mv 10.32604/cmc.2021.016721
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2520263693</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2520263693</sourcerecordid><originalsourceid>FETCH-LOGICAL-c266t-4e6518bda92cbf4921bceeec22a4558b7bea9f7ad0f87d80543562d7f0f3c6e3</originalsourceid><addsrcrecordid>eNpN0MFLwzAUBvAgCs7p3WPAc2fy0qTtUba5CRPHnOeQpi-zo2tnkon-93bOg6f34H18D36E3HI2EqBYem93dgQM-IhxlQE_IwMuU5UAgDr_t1-SqxC2jAklCjYgy7U3bdjVMaJPVmix_kRPlya-01ds0Ma6a6nrPB1j09CVaTdIp18R23A8vIW63dDnQxPrZN7t6QQm1-TCmSbgzd8ckvXjdD2eJ4uX2dP4YZFYUComKSrJ87IyBdjSpQXw0iKiBTCplHmZlWgKl5mKuTyrciZTIRVUmWNOWIViSO5OtXvffRwwRL3tDr7tP2qQPYMSqhB9ip1S1ncheHR67-ud8d-aM_3Lpns2fWTTJzbxAygxYC0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2520263693</pqid></control><display><type>article</type><title>Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D</title><source>EZB Electronic Journals Library</source><creator>Akif, Farah ; Sultan, Kiran ; N. Malik, Aqdas ; M. Qureshi, Ijaz ; Mahmood, Saba</creator><creatorcontrib>Akif, Farah ; Sultan, Kiran ; N. Malik, Aqdas ; M. Qureshi, Ijaz ; Mahmood, Saba</creatorcontrib><description>Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of (Access Point) AP which will eventually result in a larger carbon footprint. In this paper, we propose a base station off-loading and cell range extension (CRE) scheme based on multi-hop device-to-device (MHD2D) path selection between transmitter and receiver node. The paper also provides derivations of upper and lower bounds for energy efficiency, capacity, and transmit power. The proposed path selection scheme is inspired by the foraging behavior of honey bees. We present the algorithm as a modified variant of the artificial bee colony algorithm (MVABC). The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency (EE). The proposed path selection MVABC is compared with the Genetic Algorithm (GA) and also with classical artificial bee colony (ABC) through simulations and statistical analysis. The student’s t-test, p-value, and standard error of means (SEM) clearly show that MVABC based path selection out-performs the GA and classical ABC schemes. MVABC based approach is 66% more efficient when compared with classic ABC and about 62% efficient when compared with GA based scheme.</description><identifier>ISSN: 1546-2226</identifier><identifier>ISSN: 1546-2218</identifier><identifier>EISSN: 1546-2226</identifier><identifier>DOI: 10.32604/cmc.2021.016721</identifier><language>eng</language><publisher>Henderson: Tech Science Press</publisher><subject>Algorithms ; Bees ; Cellular communication ; Energy efficiency ; Genetic algorithms ; Lower bounds ; Optimization ; Search algorithms ; Standard error ; Statistical analysis ; Swarm intelligence ; Transceivers</subject><ispartof>Computers, materials &amp; continua, 2021-01, Vol.68 (2), p.2075-2093</ispartof><rights>2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c266t-4e6518bda92cbf4921bceeec22a4558b7bea9f7ad0f87d80543562d7f0f3c6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Akif, Farah</creatorcontrib><creatorcontrib>Sultan, Kiran</creatorcontrib><creatorcontrib>N. Malik, Aqdas</creatorcontrib><creatorcontrib>M. Qureshi, Ijaz</creatorcontrib><creatorcontrib>Mahmood, Saba</creatorcontrib><title>Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D</title><title>Computers, materials &amp; continua</title><description>Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of (Access Point) AP which will eventually result in a larger carbon footprint. In this paper, we propose a base station off-loading and cell range extension (CRE) scheme based on multi-hop device-to-device (MHD2D) path selection between transmitter and receiver node. The paper also provides derivations of upper and lower bounds for energy efficiency, capacity, and transmit power. The proposed path selection scheme is inspired by the foraging behavior of honey bees. We present the algorithm as a modified variant of the artificial bee colony algorithm (MVABC). The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency (EE). The proposed path selection MVABC is compared with the Genetic Algorithm (GA) and also with classical artificial bee colony (ABC) through simulations and statistical analysis. The student’s t-test, p-value, and standard error of means (SEM) clearly show that MVABC based path selection out-performs the GA and classical ABC schemes. MVABC based approach is 66% more efficient when compared with classic ABC and about 62% efficient when compared with GA based scheme.</description><subject>Algorithms</subject><subject>Bees</subject><subject>Cellular communication</subject><subject>Energy efficiency</subject><subject>Genetic algorithms</subject><subject>Lower bounds</subject><subject>Optimization</subject><subject>Search algorithms</subject><subject>Standard error</subject><subject>Statistical analysis</subject><subject>Swarm intelligence</subject><subject>Transceivers</subject><issn>1546-2226</issn><issn>1546-2218</issn><issn>1546-2226</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><recordid>eNpN0MFLwzAUBvAgCs7p3WPAc2fy0qTtUba5CRPHnOeQpi-zo2tnkon-93bOg6f34H18D36E3HI2EqBYem93dgQM-IhxlQE_IwMuU5UAgDr_t1-SqxC2jAklCjYgy7U3bdjVMaJPVmix_kRPlya-01ds0Ma6a6nrPB1j09CVaTdIp18R23A8vIW63dDnQxPrZN7t6QQm1-TCmSbgzd8ckvXjdD2eJ4uX2dP4YZFYUComKSrJ87IyBdjSpQXw0iKiBTCplHmZlWgKl5mKuTyrciZTIRVUmWNOWIViSO5OtXvffRwwRL3tDr7tP2qQPYMSqhB9ip1S1ncheHR67-ud8d-aM_3Lpns2fWTTJzbxAygxYC0</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Akif, Farah</creator><creator>Sultan, Kiran</creator><creator>N. Malik, Aqdas</creator><creator>M. Qureshi, Ijaz</creator><creator>Mahmood, Saba</creator><general>Tech Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20210101</creationdate><title>Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D</title><author>Akif, Farah ; Sultan, Kiran ; N. Malik, Aqdas ; M. Qureshi, Ijaz ; Mahmood, Saba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c266t-4e6518bda92cbf4921bceeec22a4558b7bea9f7ad0f87d80543562d7f0f3c6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Bees</topic><topic>Cellular communication</topic><topic>Energy efficiency</topic><topic>Genetic algorithms</topic><topic>Lower bounds</topic><topic>Optimization</topic><topic>Search algorithms</topic><topic>Standard error</topic><topic>Statistical analysis</topic><topic>Swarm intelligence</topic><topic>Transceivers</topic><toplevel>online_resources</toplevel><creatorcontrib>Akif, Farah</creatorcontrib><creatorcontrib>Sultan, Kiran</creatorcontrib><creatorcontrib>N. Malik, Aqdas</creatorcontrib><creatorcontrib>M. Qureshi, Ijaz</creatorcontrib><creatorcontrib>Mahmood, Saba</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Materials 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><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Computers, materials &amp; continua</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akif, Farah</au><au>Sultan, Kiran</au><au>N. Malik, Aqdas</au><au>M. Qureshi, Ijaz</au><au>Mahmood, Saba</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D</atitle><jtitle>Computers, materials &amp; continua</jtitle><date>2021-01-01</date><risdate>2021</risdate><volume>68</volume><issue>2</issue><spage>2075</spage><epage>2093</epage><pages>2075-2093</pages><issn>1546-2226</issn><issn>1546-2218</issn><eissn>1546-2226</eissn><abstract>Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of (Access Point) AP which will eventually result in a larger carbon footprint. In this paper, we propose a base station off-loading and cell range extension (CRE) scheme based on multi-hop device-to-device (MHD2D) path selection between transmitter and receiver node. The paper also provides derivations of upper and lower bounds for energy efficiency, capacity, and transmit power. The proposed path selection scheme is inspired by the foraging behavior of honey bees. We present the algorithm as a modified variant of the artificial bee colony algorithm (MVABC). The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency (EE). The proposed path selection MVABC is compared with the Genetic Algorithm (GA) and also with classical artificial bee colony (ABC) through simulations and statistical analysis. The student’s t-test, p-value, and standard error of means (SEM) clearly show that MVABC based path selection out-performs the GA and classical ABC schemes. MVABC based approach is 66% more efficient when compared with classic ABC and about 62% efficient when compared with GA based scheme.</abstract><cop>Henderson</cop><pub>Tech Science Press</pub><doi>10.32604/cmc.2021.016721</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1546-2226
ispartof Computers, materials & continua, 2021-01, Vol.68 (2), p.2075-2093
issn 1546-2226
1546-2218
1546-2226
language eng
recordid cdi_proquest_journals_2520263693
source EZB Electronic Journals Library
subjects Algorithms
Bees
Cellular communication
Energy efficiency
Genetic algorithms
Lower bounds
Optimization
Search algorithms
Standard error
Statistical analysis
Swarm intelligence
Transceivers
title Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T19%3A23%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transmitter-Receiver%20Path%20Selection%20for%20Cell%20Range%20Extension%20Using%20Multi-Hop%20D2D&rft.jtitle=Computers,%20materials%20&%20continua&rft.au=Akif,%20Farah&rft.date=2021-01-01&rft.volume=68&rft.issue=2&rft.spage=2075&rft.epage=2093&rft.pages=2075-2093&rft.issn=1546-2226&rft.eissn=1546-2226&rft_id=info:doi/10.32604/cmc.2021.016721&rft_dat=%3Cproquest_cross%3E2520263693%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2520263693&rft_id=info:pmid/&rfr_iscdi=true