2013
DOI: 10.1109/lcomm.2013.102113.131876
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Network Selection in Cognitive Heterogeneous Networks Using Stochastic Learning

Abstract: Abstract-Coexistence of multiple radio access technologies (RATs) is a promising paradigm to improve spectral efficiency. This letter presents a game-theoretic network selection scheme in a cognitive heterogeneous networking environment with timevarying channel availability. We formulate the network selection problem as a noncooperative game with secondary users (SUs) as the players, and show that the game is an ordinal potential game (OPG). A decentralized, stochastic learning-based algorithm is proposed wher… Show more

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Cited by 28 publications
(49 citation statements)
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“…Cheng et al [11] propose a jamming-based probing function that enhances the PU-detection ability and the fairness feature, and a decentralized MAC protocol by combing the probing function and previous CRN MAC protocols. Tseng et al [12] study the problem of self-organized network selection in heterogeneous networks with time-varying channel availability and unknown number of secondary users by an ordinal potential game, and propose a decentralized stochastic learning based algorithm to solve it. Cacciapuoti et al [13] design an optimal coexistence strategy that adaptively and autonomously selects the channel maximizing the expected throughput of multiple heterogeneous and independently-operated unlicensed networks.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Cheng et al [11] propose a jamming-based probing function that enhances the PU-detection ability and the fairness feature, and a decentralized MAC protocol by combing the probing function and previous CRN MAC protocols. Tseng et al [12] study the problem of self-organized network selection in heterogeneous networks with time-varying channel availability and unknown number of secondary users by an ordinal potential game, and propose a decentralized stochastic learning based algorithm to solve it. Cacciapuoti et al [13] design an optimal coexistence strategy that adaptively and autonomously selects the channel maximizing the expected throughput of multiple heterogeneous and independently-operated unlicensed networks.…”
Section: Related Workmentioning
confidence: 99%
“…On one hand, autonomous schemes are suitable for the case in which the coordination between coexisting H-CRNs is unavailable [10][11][12][13]. New coexistence protocols [10,11] or novel decision making algo-rithms [12,13] have been proposed to ensure fair channel access for coexisting H-CRNs. On the other hand, centralized schemes are appealing for the case in which a mediator system is available for coordinating the operations of coexisting H-CRNs.…”
Section: Introductionmentioning
confidence: 99%
“…In CRHN, selection of a suitable network [3], keeping in view the price, interference, and capacity, is thus very important [4,5]. Authors in [6] considered a network selection problem as a noncooperative game in which SUs were considered as players that achieved equilibrium without cooperation. Markov decision process is proposed in [7] to maximize SUs throughput in a cognitive radio heterogeneous network.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the incompatible MAC mechanisms, autonomous schemes have to design new coexistence protocols [7,8] or devise novel decision-making algorithms [9,10] to ensure fair channel access for all the coexisting H-CRNs. However, autonomous schemes are always 'specific' solutions to solve the transmission confliction between two given H-CRNs, which prohibits their use in the scenario of heterogeneous coexistence.…”
Section: Introductionmentioning
confidence: 99%