一种5G异构云无线接入网络的D2D资源分配算法

A D2D Resource Allocation Algorithm for 5G Heterogeneous Cloud Radio Access Networks

为了解决设备对设备(Device-to-Device,D2D)资源共享带来的信号干扰问题,提出了一种5G异构云无线接入网络的D2D通信资源分配算法。在保证服务质量的前提下,将宏用户设备的频谱资源分配给D2D和中继用户设备,并且把资源分配问题看作一对一的匹配博弈。采用婚姻匹配理论,得到初始的匹配方案。在初始匹配的基础上,提出了一种遵循卡尔多-希克斯(Kaldor-Hicks)原则的资源交换策略,以提高系统的吞吐量。仿真结果表明,该资源分配算法收敛较快,与现有方案相比,能使系统吞吐量提升15%以上,能给系统用户带来约10%的增益,并且有较强抗信道干扰能力。

In order to solve the problem of signal interference caused by the sharing of device-to-device(D2D)resources,a D2D communication resource allocation algorithm for 5G heterogeneous cloud radio access network(H-CRAN)is proposed.On the premise of ensuring the quality of service,the spectrum resources of the macrouser equipment(MUE)are allocated to the D2D and the relay user equipment(RUE),and the resource allocation problem is regarded as a one-to-one matching game.According to the marriage matching theory,the initial matching scheme is obtained.Based on initial matching,a resource exchange strategy based on Kaldor-Hicks principle is proposed to improve the throughput of the system.The simulation results show that the proposed algorithm,compared with the existing schemes,converges quickly,increases the system throughput by more than 15%,brings about 10%gain to the system users,and has strong anti-channel interference ability.