000149007 001__ 149007
000149007 005__ 20250129140941.0
000149007 0247_ $$2doi$$a10.1016/j.adhoc.2012.02.002
000149007 0248_ $$2sideral$$a76540
000149007 037__ $$aART-2012-76540
000149007 041__ $$aeng
000149007 100__ $$0(orcid)0000-0002-8682-745X$$aGállego,J. R.$$uUniversidad de Zaragoza
000149007 245__ $$aDistributed resource allocation in cognitive radio networks with a game learning approach to improve aggregate system capacity
000149007 260__ $$c2012
000149007 5060_ $$aAccess copy available to the general public$$fUnrestricted
000149007 5203_ $$aThis paper presents a game theoretic solution for joint channel allocation and power control in cognitive radio networks analyzed under the physical interference model. The objective is to find a distributed solution that maximizes the network utility, defined with different criteria, with limited information. The problem is addressed through a non-cooperative game based on local information. Although the existence of a pure Nash Equilibrium cannot be assured for this game, simulation results show that it exists with high probability and with a performance similar to that of a potential game, where each player requires overall network information. The obtained results are compared with a centralized heuristic genetic algorithm to show the correctness of the proposals. From this point, utility functions for the local game are modified to restrict the transmitted power to drive the solution to a more cooperative approach. To overcome the convergence limitations of the local game, no-regret learning algorithms are used to perform the joint channel and power allocation. These algorithms provide stable mixed strategies in any scenario with even better global performance. This opens an interesting perspective to develop realistic protocols based on the modeled interactions and increases the adaptability to perform efficient opportunistic spectrum access.
000149007 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000149007 590__ $$a1.456$$b2012
000149007 591__ $$aTELECOMMUNICATIONS$$b21 / 76 = 0.276$$c2012$$dQ2$$eT1
000149007 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b38 / 132 = 0.288$$c2012$$dQ2$$eT1
000149007 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000149007 700__ $$0(orcid)0000-0002-8298-4300$$aCanales,M.$$uUniversidad de Zaragoza
000149007 700__ $$0(orcid)0000-0001-9052-9554$$aOrtín,J.$$uUniversidad de Zaragoza
000149007 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000149007 773__ $$g10, 6 (2012), 1076-1089$$pAd Hoc Networks$$tAd Hoc Networks$$x1570-8705
000149007 8564_ $$s736648$$uhttps://zaguan.unizar.es/record/149007/files/texto_completo.pdf$$yVersión publicada
000149007 8564_ $$s622626$$uhttps://zaguan.unizar.es/record/149007/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000149007 909CO $$ooai:zaguan.unizar.es:149007$$particulos$$pdriver
000149007 951__ $$a2025-01-29-14:09:08
000149007 980__ $$aARTICLE