Dynamic Spectrum Access using Stochastic Multi-User Bandits

However, they assume that users have knowledge of the total number of users occupying their channel at any given time. Dynamic spectrum access has emerged to address the problem of spectrum under-utilization caused by treating the frequency On any given channel, we assume that the reward obtained spectrum as a fixed commodity. We study the spectrum is a random variable that is drawn from a distribution that sharing paradigm in which all the users are treated equally i.e., depends on the number of users on the channel. For example, there is no distinction between primary or secondary users. We the instantaneous reward could be the rate achieved by the user model the system as a stochastic multi-user multi-armed bandit on the channel which may decrease due to interference from (MAB) problem [1] where the channels correspond to the other users accessing the channel. The decrease in the reward arms of the bandit similar to the model considered in [2]-[11].