{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T07:19:20Z","timestamp":1710400760372},"reference-count":48,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2013,7,29]],"date-time":"2013-07-29T00:00:00Z","timestamp":1375056000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Trans. Emerging Tel. Tech."],"published-print":{"date-parts":[[2014,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>Cognitive radio (CR) bands following an interference\u2010free opportunistic manner. However, introduction of CR networks creates new challenges that are highly related to the fluctuation of TVWS, as they vary over time and location, as well as issues related to diverse Quality of Service requirements. In this context, this paper proposes two radio resource management (RRM) algorithms, enabling for the opportunistic exploitation of TVWS in a centralised CR networking architecture. Efficient administration of radio spectrum resources is achieved, by exploiting a novel RRM framework, adopted in a spectrum broker, which is in charge to effectively orchestrate the available wireless networking resources. Efficient RRM algorithms performance, as a matter of maximum\u2010possible spectrum broker benefit and radio spectrum utilisation, as well as minimum\u2010possible spectrum fragmentation is evaluated, by considering a fixed\u2010price and an auction\u2010based optimization approach. Experimental tests that were conducted under controlled simulation conditions, confirmed the validity of both RRM algorithms adopted in the proposed CR networking architecture, identifying fields for further research and experimentation. 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