A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband
The traditional cellular technology is not profitable to serve the sparsely populated and clustered remote rural areas because of huge network set-up cost and lesser return from low density of rural population. To provide broadband service in those remote rural areas, in this paper, we consider a TV...
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Veröffentlicht in: | IEEE systems journal 2019-03, Vol.13 (1), p.511-518 |
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description | The traditional cellular technology is not profitable to serve the sparsely populated and clustered remote rural areas because of huge network set-up cost and lesser return from low density of rural population. To provide broadband service in those remote rural areas, in this paper, we consider a TV white space (TVWS)-based hierarchical network architecture where sparsely located clustered rural pieces of user equipment (UEs) are connected to far-off central base station (CBS) via intermediate TVWS nodes, known as the pieces of customer premises equipment (CPEs) through TVWS link. The CBS has direct broadband connectivity to the Internet through optical fiber backhaul. In such a network architecture, we adopt a two-stage market model among UEs, CPEs, CBS, and propose a pricing-based Stackelberg game to distribute the total available data rate at CBS among CPEs and then to the UE. Extensive simulations have been carried out to study the data-rate distribution, and the behavior of utilities of CPE, CBS, and UE with variation of different parameters for a particular network scenario. The study of the outcome suggests that using this simple price exchange mechanism, it is possible, based on each UE's willingness-to-pay and the total available data rate, to distribute data rate optimally among the UEs where each of the network entities behaves selfishly. |
doi_str_mv | 10.1109/JSYST.2018.2842140 |
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To provide broadband service in those remote rural areas, in this paper, we consider a TV white space (TVWS)-based hierarchical network architecture where sparsely located clustered rural pieces of user equipment (UEs) are connected to far-off central base station (CBS) via intermediate TVWS nodes, known as the pieces of customer premises equipment (CPEs) through TVWS link. The CBS has direct broadband connectivity to the Internet through optical fiber backhaul. In such a network architecture, we adopt a two-stage market model among UEs, CPEs, CBS, and propose a pricing-based Stackelberg game to distribute the total available data rate at CBS among CPEs and then to the UE. Extensive simulations have been carried out to study the data-rate distribution, and the behavior of utilities of CPE, CBS, and UE with variation of different parameters for a particular network scenario. The study of the outcome suggests that using this simple price exchange mechanism, it is possible, based on each UE's willingness-to-pay and the total available data rate, to distribute data rate optimally among the UEs where each of the network entities behaves selfishly.</description><identifier>ISSN: 1932-8184</identifier><identifier>EISSN: 1937-9234</identifier><identifier>DOI: 10.1109/JSYST.2018.2842140</identifier><identifier>CODEN: ISJEB2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Backhaul ; Broadband ; Broadband communication ; Computer architecture ; Computer simulation ; Game theory ; Games ; Optical fibers ; particle swarm optimization (PSO) ; Pricing ; pricing policy ; Resource management ; Rural areas ; rural broadband architecture ; Sociology ; Stackelberg game ; Statistics ; Throughput ; TV white space (TVWS) ; Utilities</subject><ispartof>IEEE systems journal, 2019-03, Vol.13 (1), p.511-518</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-35d9b6faa391fe72907dee0a6278b86169edbeede79eec34414760be93459ae3</citedby><cites>FETCH-LOGICAL-c295t-35d9b6faa391fe72907dee0a6278b86169edbeede79eec34414760be93459ae3</cites><orcidid>0000-0003-1665-7552 ; 0000-0002-0733-3524</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8387429$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8387429$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ghosh, Suman</creatorcontrib><creatorcontrib>Karar, Sandip</creatorcontrib><creatorcontrib>Barman, Abhirup Das</creatorcontrib><title>A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband</title><title>IEEE systems journal</title><addtitle>JSYST</addtitle><description>The traditional cellular technology is not profitable to serve the sparsely populated and clustered remote rural areas because of huge network set-up cost and lesser return from low density of rural population. To provide broadband service in those remote rural areas, in this paper, we consider a TV white space (TVWS)-based hierarchical network architecture where sparsely located clustered rural pieces of user equipment (UEs) are connected to far-off central base station (CBS) via intermediate TVWS nodes, known as the pieces of customer premises equipment (CPEs) through TVWS link. The CBS has direct broadband connectivity to the Internet through optical fiber backhaul. In such a network architecture, we adopt a two-stage market model among UEs, CPEs, CBS, and propose a pricing-based Stackelberg game to distribute the total available data rate at CBS among CPEs and then to the UE. Extensive simulations have been carried out to study the data-rate distribution, and the behavior of utilities of CPE, CBS, and UE with variation of different parameters for a particular network scenario. The study of the outcome suggests that using this simple price exchange mechanism, it is possible, based on each UE's willingness-to-pay and the total available data rate, to distribute data rate optimally among the UEs where each of the network entities behaves selfishly.</description><subject>Backhaul</subject><subject>Broadband</subject><subject>Broadband communication</subject><subject>Computer architecture</subject><subject>Computer simulation</subject><subject>Game theory</subject><subject>Games</subject><subject>Optical fibers</subject><subject>particle swarm optimization (PSO)</subject><subject>Pricing</subject><subject>pricing policy</subject><subject>Resource management</subject><subject>Rural areas</subject><subject>rural broadband architecture</subject><subject>Sociology</subject><subject>Stackelberg game</subject><subject>Statistics</subject><subject>Throughput</subject><subject>TV white space (TVWS)</subject><subject>Utilities</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwA7CxxDrFr8T2sq2ggCqB2gjUleU4E0ibJsVOFvw96UOsZqS5Z0ZzELqlZEQp0Q-vy9UyHTFC1YgpwaggZ2hANZeRZlycH3oWKarEJboKYU1IrGKpB2g1xu--dGX9FU1sgBwvbAt4XFWNs23Z1Hhmt4DLGqcfn0s8sW7zbbsK2zrHY-cgBDwv6w0uGo8XnbcVnvjG5lk_v0YXha0C3JzqEKVPj-n0OZq_zV6m43nkmI7biMe5zpLCWq5pAZJpInMAYhMmVaYSmmjIM4AcpAZwXAgqZEIy0FzE2gIfovvj2p1vfjoIrVk3na_7i4bR_kfOVCL6FDumnG9C8FCYnS-31v8aSszeoDkYNHuD5mSwh-6OUAkA_4DiSgqm-R9JAmvB</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Ghosh, Suman</creator><creator>Karar, Sandip</creator><creator>Barman, Abhirup Das</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><orcidid>https://orcid.org/0000-0003-1665-7552</orcidid><orcidid>https://orcid.org/0000-0002-0733-3524</orcidid></search><sort><creationdate>201903</creationdate><title>A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband</title><author>Ghosh, Suman ; Karar, Sandip ; Barman, Abhirup Das</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-35d9b6faa391fe72907dee0a6278b86169edbeede79eec34414760be93459ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Backhaul</topic><topic>Broadband</topic><topic>Broadband communication</topic><topic>Computer architecture</topic><topic>Computer simulation</topic><topic>Game theory</topic><topic>Games</topic><topic>Optical fibers</topic><topic>particle swarm optimization (PSO)</topic><topic>Pricing</topic><topic>pricing policy</topic><topic>Resource management</topic><topic>Rural areas</topic><topic>rural broadband architecture</topic><topic>Sociology</topic><topic>Stackelberg game</topic><topic>Statistics</topic><topic>Throughput</topic><topic>TV white space (TVWS)</topic><topic>Utilities</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghosh, Suman</creatorcontrib><creatorcontrib>Karar, Sandip</creatorcontrib><creatorcontrib>Barman, Abhirup Das</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><jtitle>IEEE systems journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ghosh, Suman</au><au>Karar, Sandip</au><au>Barman, Abhirup Das</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband</atitle><jtitle>IEEE systems journal</jtitle><stitle>JSYST</stitle><date>2019-03</date><risdate>2019</risdate><volume>13</volume><issue>1</issue><spage>511</spage><epage>518</epage><pages>511-518</pages><issn>1932-8184</issn><eissn>1937-9234</eissn><coden>ISJEB2</coden><abstract>The traditional cellular technology is not profitable to serve the sparsely populated and clustered remote rural areas because of huge network set-up cost and lesser return from low density of rural population. To provide broadband service in those remote rural areas, in this paper, we consider a TV white space (TVWS)-based hierarchical network architecture where sparsely located clustered rural pieces of user equipment (UEs) are connected to far-off central base station (CBS) via intermediate TVWS nodes, known as the pieces of customer premises equipment (CPEs) through TVWS link. The CBS has direct broadband connectivity to the Internet through optical fiber backhaul. In such a network architecture, we adopt a two-stage market model among UEs, CPEs, CBS, and propose a pricing-based Stackelberg game to distribute the total available data rate at CBS among CPEs and then to the UE. Extensive simulations have been carried out to study the data-rate distribution, and the behavior of utilities of CPE, CBS, and UE with variation of different parameters for a particular network scenario. The study of the outcome suggests that using this simple price exchange mechanism, it is possible, based on each UE's willingness-to-pay and the total available data rate, to distribute data rate optimally among the UEs where each of the network entities behaves selfishly.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSYST.2018.2842140</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-1665-7552</orcidid><orcidid>https://orcid.org/0000-0002-0733-3524</orcidid></addata></record> |
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subjects | Backhaul Broadband Broadband communication Computer architecture Computer simulation Game theory Games Optical fibers particle swarm optimization (PSO) Pricing pricing policy Resource management Rural areas rural broadband architecture Sociology Stackelberg game Statistics Throughput TV white space (TVWS) Utilities |
title | A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband |
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