Resource Management Algorithm Based On Power Control In Device-to-Device Communication

D2D communication technology is one of the core technologies of the fifth generation mobile communication system,it has the advantages of improving the energy efficiency,throughput and spectrum utilization,reducing the communication delay in the communication system.In addition,it can also promote the coverage and service quality of the mobile communication system,realize the traffic offload of the core network and reduce the burden on the base station.However,the coexistence of cellular users and D2 D users also causes co-channel interference,which seriously affects the normal communication between users.Since the power of the mobile device is limited,green communication is realized by reducing energy consumption,and the interference suppression and energy saving can be achieved by reasonably controlling the transmission power of the user.The resource management algorithm of D2 D communication system was studied around the user's power control in the scenario where multiple D2 D users and one cellular user use the same spectrum resources in a single-cell cellular network in this paper,including:(1)A power control algorithm for optimizing system throughput was studied.Firstly,under the premise of satisfying the maximum transmit power and minimum signal-to-noise ratio constraint of D2 D users and cellular users,an optimization problem that used user power as a variable was established to maximize system throughput,wherein the maximum transmit power constraint was used to control power consumption of the user,the minimum signal to interference and noise ratio constraint was used to mitigate the interference between users.Then,a self-adaptive genetic harmony algorithm was proposed,which combines the genetic algorithm with the harmony search algorithm and adaptively changes the pitch fine tuning probability parameter according to the degree of dispersion of the population fitness value.Finally,the proposed algorithm was used to solve the optimization problem and obtain the user's transmit power.The simulation data demonstrates the effectiveness of the algorithm.(2)The power control algorithm for optimizing energy efficiency was further studied.Firstly,on the basis of satisfying the user's maximum transmit power and minimum transmission rate constraints,the optimization problem that was based on power control was established to maximize the total energy efficiency of the communication system.The maximum transmission power and the minimum transmission rate also played the role of energy saving and guaranteeing user communication quality respectively.Then,an improved chaotic crow search algorithm was proposed to solve the power optimization problem.The algorithm introduces the chaos theory into the crow search algorithm,and determines the value of the flight length parameter according to the distance between the crows.Finally,the optimized user transmit power was obtained.The simulation results demonstrate the effectiveness of the proposed algorithm.