Analysis on channel bonding/aggregation for multi-channel cognitive radio networks

Abstract

Channel bonding/aggregation techniques, which assemble several channels together as one channel, could be used in cognitive radio networks for the purpose of achieving better bandwidth utilization. In existing work on this topic, channel bonding/aggregation is focused on the cases when primary channels are time slotted or stationary as compared with secondary users' activities. In this paper, we analyze the performance of channel bonding/aggregation strategies when primary channels are not time slotted and the time scale of primary activities is at the same level as the secondary users', given that spectrum handover is not allowed. Continuous time Markov chain models are built in order to analyze the performance of such a network in terms of three parameters: system capacity for secondary users, forced termination probability and blocking probability. Numerical results show that channel bonding/aggregation does not increase achieved system capacity and it leads to higher blocking probability, but lower forced termination probability is obtained when this technique is used.