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Improved bandwidth allocation in Cognitive Radio Networks based on game theory
In this paper, an improved method for bandwidth allocation in a Cognitive Radio Network based on game theory is presented. In this work, utility has been modified by inserting weights to the three terms, received power, interference to other links and interference from other links. Inserting weights...
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creator | Bhattarai, Amulya Komolkiti, Patrachart Aswakul, Chaodit |
description | In this paper, an improved method for bandwidth allocation in a Cognitive Radio Network based on game theory is presented. In this work, utility has been modified by inserting weights to the three terms, received power, interference to other links and interference from other links. Inserting weights enables us to treat different CRN scenarios separately and appropriately as per the requirement of the administrator. Moreover, a suitable performance index for a CRN that considers throughput and interference to other links has been introduced and is used to evaluate different schemes. Being able to segregate and individually treat the different utility terms has aided to analyze and understand the CRN better and at a deeper level, which will be helpful for further research work. |
doi_str_mv | 10.1109/ECTICon.2013.6559481 |
format | conference_proceeding |
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In this work, utility has been modified by inserting weights to the three terms, received power, interference to other links and interference from other links. Inserting weights enables us to treat different CRN scenarios separately and appropriately as per the requirement of the administrator. Moreover, a suitable performance index for a CRN that considers throughput and interference to other links has been introduced and is used to evaluate different schemes. Being able to segregate and individually treat the different utility terms has aided to analyze and understand the CRN better and at a deeper level, which will be helpful for further research work.</description><subject>cognitive radio network (CRN)</subject><subject>game theory</subject><subject>spectrum allocation</subject><subject>weight on utility terms</subject><isbn>9781479905461</isbn><isbn>1479905461</isbn><isbn>9781479905447</isbn><isbn>1479905453</isbn><isbn>9781479905454</isbn><isbn>1479905445</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVkMtKw0AYhUdEUGqeQBfzAokzk7lklhKqBkoFqesylz_taJIpydDStzfQblwdDpzvWxyEnikpKCX6ZVlvmjoOBSO0LKQQmlf0BmVaVZQrrYngXN3-65Leo2yafgghs0FWXDygddMfxngEj60Z_Cn4tMem66IzKcQBhwHXcTeEFI6Av4wPEa8hneL4O83ANGPzaGd6wGkPcTw_orvWdBNk11yg77flpv7IV5_vTf26ygNVIuWMtFIDFUw44hgHZ7m0xmgvVakEs7p13CpRCmYI91JYypiTyriKgiNelgv0dPEGANgextCb8by9vlD-ActqUWc</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Bhattarai, Amulya</creator><creator>Komolkiti, Patrachart</creator><creator>Aswakul, Chaodit</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201305</creationdate><title>Improved bandwidth allocation in Cognitive Radio Networks based on game theory</title><author>Bhattarai, Amulya ; Komolkiti, Patrachart ; Aswakul, Chaodit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-20f69e1525c0c24ecb46baa9d673752b9fc4b75352a04d65b122c67ac81ec0d63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>cognitive radio network (CRN)</topic><topic>game theory</topic><topic>spectrum allocation</topic><topic>weight on utility terms</topic><toplevel>online_resources</toplevel><creatorcontrib>Bhattarai, Amulya</creatorcontrib><creatorcontrib>Komolkiti, Patrachart</creatorcontrib><creatorcontrib>Aswakul, Chaodit</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bhattarai, Amulya</au><au>Komolkiti, Patrachart</au><au>Aswakul, Chaodit</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Improved bandwidth allocation in Cognitive Radio Networks based on game theory</atitle><btitle>2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology</btitle><stitle>ECTICon</stitle><date>2013-05</date><risdate>2013</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781479905461</isbn><isbn>1479905461</isbn><eisbn>9781479905447</eisbn><eisbn>1479905453</eisbn><eisbn>9781479905454</eisbn><eisbn>1479905445</eisbn><abstract>In this paper, an improved method for bandwidth allocation in a Cognitive Radio Network based on game theory is presented. In this work, utility has been modified by inserting weights to the three terms, received power, interference to other links and interference from other links. Inserting weights enables us to treat different CRN scenarios separately and appropriately as per the requirement of the administrator. Moreover, a suitable performance index for a CRN that considers throughput and interference to other links has been introduced and is used to evaluate different schemes. Being able to segregate and individually treat the different utility terms has aided to analyze and understand the CRN better and at a deeper level, which will be helpful for further research work.</abstract><pub>IEEE</pub><doi>10.1109/ECTICon.2013.6559481</doi><tpages>6</tpages></addata></record> |
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subjects | cognitive radio network (CRN) game theory spectrum allocation weight on utility terms |
title | Improved bandwidth allocation in Cognitive Radio Networks based on game theory |
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