Channel Switching Cost-Aware Resource Allocation for Multi-hop Cognitive Radio Networks with a Single Transceiver

Abstract

Cognitive radio networks need to operate in a wide range of frequencies. This requirement brings up new challenges that do not exist in other wireless networks. Switching from a certain frequency to another frequency incurs a non-negligible cost in cognitive radio networks and depends on the distance between the previous and current frequencies. This cost is especially important in ad hoc cognitive radio networks when the cognitive devices have a single transceiver. Research studies related to green networks indicate the need for methods that address energy consumption in cognitive radio networks. In this paper, we analyze the impact of the channel switching cost in terms of energy consumption. We formulate an optimization problem that makes frequency and time slot allocation to the cognitive devices in an ad hoc cognitive radio network so that the energy cost related to frequency switching is minimized. We formulate our optimization problem as an integer linear program and comparatively evaluate the energy cost of varying switching energy consumption with constant switching energy consumption. Our simulation results indicate that taking into account the different energy consumption while switching to different frequency bands is vital for resource allocation in cognitive radio networks with a single transceiver.