全双工D2D通信链路能效优化研究

Research on Energy Efficiency Optimization of Full-duplex D2D Communication Links

针对在蜂窝系统下引入设备到设备(D2D)通信导致的干扰和能量消耗问题,文章提出首先将D2D通信技术与全双工传输技术相结合,构造一个全双工D2D通信链路场景。然后,在满足用户最小速率要求和功率阈值的条件下,分别解决了功率控制和资源分配问题,以提高全双工D2D通信链路的能量效率。最后,利用序列二次规划算法解决功率控制问题;利用所提出的自适应禁忌搜索算法解决最优资源分配问题。仿真结果表明,与现有算法相比,文章所提算法具有有效的搜索算子和扰动机制,并能以较低的计算复杂度来解决全双工D2D通信链路能效优化问题。

Aiming at the problems of interference and energy consumption caused by the introduction of Device-to-Device(D2D)communication in the cellular system, this paper proposes to first combine D2D communication technology with full-duplex transmission technology to construct a full-duplex D2D communication link scenario. Then, the power control and resource allocation problems are solved respectively to improve the energy efficiency of full-duplex D2D communication link under the condition of satisfying the minimum rate requirement and the power threshold. Finally, the sequential quadratic programming algorithm is used to solve the power control problem. The proposed adaptive tabu search algorithm is used to solve the problem of optimal resource allocation. The results show that, compared with the existing algorithms, the proposed algorithm has effective search operator and perturbation mechanism, and can solve the energy efficiency optimization problem of full-duplex D2D communication links with lower computational complexity.