Research On D2D Communication Resource Allocation Algorithm In Cellular Network

D2D(device-to-device)communication,which is the key technology of 5 generation,is an important guarantee to improve system capacity and spectrum utilization and reduce communication delay.When D2 D device multiplexes channel resources with a cellular user,there will be interference signals affecting the call quality of the cellular user.Under the premise of good communication quality,the D2 D communication resource allocation scheme is reasonably formulated,which is conducive to improving resource utilization rate and maximizing system throughput.The resource allocation of the spectrum shared by D2 D devices and cells is studied.When D2 D users and cellular users have different link reuse methods,two new resource allocation algorithms are proposed.First,resource allocation of D2 D downlink channels in heterogeneous networks has been studied.A mathematical model is established to maximize the system capacity on the premise of ensuring the quality of cellular calls.The traditional artificial fish swarm algorithm has the drawback of fall into the local optimal solution due to the random initialization of population.The chaotic algorithm is used to initialize the artificial fish swarm so that all the initialized artificial fish are uniformly distributed in the solution space.Moreover,the foraging,retracing and step-size transformation of artificial fish swarm algorithm are improved to enhance its global optimization ability.The improved artificial fish swarm algorithm has fast convergence and global optimization ability.D2 D downlink channel resource allocation problem in heterogeneous network is solved by an improved artificial fish swarm algorithm.IAFSA is selected to solve the resource allocation function problem of D2 D communication multiplexed cellular network.On the premise of ensuring communication quality,IAFSA algorithm has fewer iteration times and larger system capacity than traditional AFSA algorithm and random allocation algorithm.Secondly,the shared uplink between D2 D devices and cellular users was studied.When the minimum transmission rate is met,an optimal model is established to maximize the energy efficiency of the system.The disadvantage of traditional particle swarm optimization algorithm is that it is easy to fall into local optimal.Therefore,particle swarm optimization(PSO)is improved by genetic algorithm(GA).The crossover,selection and mutation of genetic algorithm are introduced in PSO iteration,and the probability of PSO jumping out of the local optimal solution is improved.The improved particle swarm optimization(PSO)algorithm is used to solve the resource allocation problem of D2 D channel sharing with cellular devices.PSO,GA and GA-PSO algorithms are used for comparison experiments.Experimental results show that the proposed algorithm has higher system energy efficiency and resource utilization.