摘要
【目的】在通信资源相对匮乏的情况下,针对D2D直通技术复用蜂窝网络资源可能会带来干扰管理、通信模式选择和资源分配等众多技术问题。【方法】本文研究选用模式选择、信道分配和功率控制相结合的方案,由于此方案分配问题是NP-hard问题,因此本文将优化问题划分为两个子问题,其一是为D2D选择合适的通信模式和为每个D2D用户分配合理的信道资源,其二是通过改进的灰狼优化算法为D2D用户和蜂窝用户进行功率优化,以提高整体系统吞吐量,同时保证干扰最小化。【结果】综合上述不同场景下的实验结果表明,本文方案能够有效地降低干扰,提高系统吞吐量,改进的灰狼算法为本方案提升了大约4%的平均吞吐量。【局限】灰狼优化算法处于不断地发展演变之中,自身也存在着一定的局限性。【结论】在后续的工作中将继续探索并考虑网络状态和用户移动性,在保证系统性能的同时提高系统吞吐量。
[Objective]In the case of relatively scarce communication resources,the D2D direct reuse technology of cellular network resources may cause numerous technical problems such as inter-ference management,communication mode selection,and resource allocation.[Methods]This paper studies the scheme of the combination of mode selection,channel distribution,and power control.Because optimizing the combination scheme is an NP-hard problem,this paper divides the optimization problem into two sub-problems:one is to select an appropriate communication mode and allocate reasonable channel resources for each D2D user,and the other is to opti-mize the power for D2D users and honeycomb users by the improved gray wolf algorithm.The goal of this approach is to improve the overall system throughput and reduce the interference.[Results]The experimental results in different scenarios show that this approach can effective-ly reduce the interference and improve the system throughput.The improved gray wolf algo-rithm has increased the average throughput by about 4%for this solution.[Limitations]The Gray Wolf Optimization Algorithm is continuously evolving and introduces certain limitations.[Conclusions]The subsequent work will continue to explore and consider the network status and the user mobility,improving both performance and throughput of the system.
作者
郑奕佳
杜永文
黄菊
张希权
ZHENG Yijia;DU Yongwen;HUANG Ju;ZHANG Xiquan(School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou,Gansu 730070,China)
出处
《数据与计算发展前沿》
CSCD
2023年第6期173-184,共12页
Frontiers of Data & Computing
基金
国家自然科学基金(11461038)
甘肃省科技支撑计划(144NKCA040)。
关键词
蜂窝网络
D2D
模式选择
资源分配
灰狼算法
cellular network
D2D
mode selection
resource allocation
gray wolf algorithm
