基于数能同传的D2D网络鲁棒资源分配算法

Robust resource allocation algorithm in SWIPT-based D2D networks

为了提高终端直通(device-to-device,D2D)网络设备运行寿命和复杂电磁环境下的抗干扰能力,提出了一种基于数能同传的D2D网络系统能效最大化的鲁棒资源分配算法.考虑用户最小速率约束、最小收集能量约束、功率分流和信道分配因子约束,建立了联合优化传输功率、子信道和功率分流因子的鲁棒能效资源分配模型.基于Dinkelbach方法和Worst-case方法,将原NP-hard问题转换为确定性的凸优化问题,利用匹配理论和拉格朗日对偶理论获得解析解.仿真结果表明所提算法具有较好的鲁棒性和较高的能效.

To improve the operation lifetime of devices and the anti-interference capability of complex electromagnetic environments in device-to-device(D2D) networks, an energy-efficient maximization resource allocation algorithm was proposed for simultaneous wireless information and power transfer(SWIPT)-based D2D networks.Considering the constraints of users’ minimum rate, minimum harvested energy, power splitting, and channel allocation, a robust energy-efficient resource allocation model was formulated by jointly optimizing the transmit power, subchannel coefficients, and the power splitting factor. The original NP-hard problem was converted into a deterministic and convex problem by using Dinkelbach’s method and the worst-case approach, where the closed-form solutions were obtained by using the matching theory and Lagrange dual theory. Simulation results demonstrated that the proposed algorithm exhibited better robustness and higher energy efficiency.