Fei PENG, Guoan ZHANG, Yuqi YANG. A novel channel access algorithm based on clusters and MAB model in cognitive vehicular network[J]. Telecommunications science, 2016, 32(7): 27-33.
DOI:
Fei PENG, Guoan ZHANG, Yuqi YANG. A novel channel access algorithm based on clusters and MAB model in cognitive vehicular network[J]. Telecommunications science, 2016, 32(7): 27-33. DOI: 10.11959/j.issn.1000-0801.2016184.
A novel channel access algorithm based on clusters and MAB model in cognitive vehicular network
Considering the cognitive channel access problem of vehicle nodes in cognitive vehicular networks with heavy traffic environment
a channel access algorithm called clusters-UCB which based on clusters and MAB model was proposed.The cooperation of cluster members could improve perception accuracy and enhance the learning speed.And using improved multi-user UCB algorithm
cluster heads could quickly search out the optimal channel in a distributed way
which could make the network asymptotically achieve the optimal slot throughput.Simulation results show that with respect to UCB algorithm and ε-greedy algorithm
the regret of the proposed algorithm is lower and the speed of approaching logarithmic form is faster.What's more
clusters-UCB can effectively reduce the number of collisions when clusters access the cognitive channels
ensuring the fairness of the channel access and achieving better slot throughput.
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