一种5G异构云无线接入网络的D2D资源分配算法

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.

A D2D resource allocation algorithm for 5G heterogeneous cloud radio access networks

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.