We consider the problem of a user operating within a Cognitive Radio Network (CRN) which involves N channels each associated with a Primary User (PU).
The crucial advantage of the BLA is that unlike traditional Learning Automata (LA), it does not involve an action probability vector, but rather relies on “ ...
The paper proposes a fascinating solution to the FSCS problem by invoking the recently devised Bayesian Learning Automaton (BLA), which attains the optimal ...
For each strategy, the channel selection problem is formulated and demonstrated to be a so-called “Potential” game, and a Bayesian Learning Automata (BLA) has ...
We propose a stochastic channel selection algorithm based on the learning automata techniques. This algorithm adjusts the probability of selecting each ...
Missing: Switchable | Show results with:Switchable
Thereafter, to facilitate the SU to select a proper channel in the game in a distributed manner, we design a Bayesian Learning Automaton (BLA)-based approach.
In this paper, we propose a channel selection scheme for secondary users in cognitive radio sensor networks, which includes learning automata and fuzzy logic ...
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. L Jiao, X Zhang, BJ Oommen, OC Granmo.
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach. PIMRC 2013: 2362-2367; 2012. [c3]. view. electronic edition via ...
In this paper, we propose a novel stochastic channel selection algo- rithm based on learning automata (LA), which dynamically adjusts the probability of ...
Missing: Bayesian | Show results with:Bayesian