Channel allocation for hot spot in cognitive WLAN over Fiber: A restless bandit approach

Cognitive WLAN over Fiber (CWLANoF) is proposed as the improved architecture of traditional WLANs. In this paper, the channel allocation problem for hot spot in CWLANoF is firstly established as a restless bandit problem, which is solved by the primal-dual index heuristic algorithm based on the first order relaxation due to less complexity. Moreover, the proposed scheme is divided into offline computation and online allocation so as to decrease the complexity farther. Finally, extensive simulation results illustrate the significant performance improvement of the proposed scheme compared to the existing one.