2012
DOI: 10.3724/sp.j.1016.2012.00730
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Coalition Formation Based Distributed Algorithm for Multi-Objective Cooperative Sensing in Cognitive Radio Networks

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Cited by 3 publications
(1 citation statement)
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“…Approaches, such as Markov chain model [2], reinforcement learning model [3,4], can predicate the availability of the spectrum based on the historical information to effectively avoid interfering primary users. Other approaches, such as graph coloring model [4], auction theory [6] as well as game theory [7], can enhance the allocation efficiency by effectively coordinating the competitions between cognitive users, which strikes the problem of the fairness, interference as well as the network reward.…”
Section: Introductionmentioning
confidence: 99%
“…Approaches, such as Markov chain model [2], reinforcement learning model [3,4], can predicate the availability of the spectrum based on the historical information to effectively avoid interfering primary users. Other approaches, such as graph coloring model [4], auction theory [6] as well as game theory [7], can enhance the allocation efficiency by effectively coordinating the competitions between cognitive users, which strikes the problem of the fairness, interference as well as the network reward.…”
Section: Introductionmentioning
confidence: 99%