Spectrum allocation algorithm under the novel channel handover constraint in cognitive radio network
Chen Kuangyu, Zeng Fanzi, Zeng Qingguang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2014
Dynamic spectrum (channel) allocation in cognitiveradio network is the effective measure to solve the low utility of spectrum resource.Spectrum (channel) handover will degrade network performance and cause large amounts of energy consumption.This paper proposes a novel spectrum allocation algorithm to reduce the channel handover which allocates the channel that its conditional expectation is larger than the required slot that user's data need be completely transmitted once to user.We firstly model the channel as first-order two-state Markov process and achieve the channel statistical characteristic.Then we construct the spectrum allocation optimization with the interference constraints, channel availability constraint and channel handover constraint, which is solved by the colorsensitive graph coloring theory.Simulation results show that the proposed algorithm can more effectively reduce the number of channel handover of cognitive users compared to the CSGC algorithm and RDA algorithm and can achieve the satisfying system bandwidth and fairness.