基于退火遗传算法的网络通信资源分配方法  

Network Communication Resource Allocation Method Based on Annealing Genetic Algorithm

作　　者：曾琪[1] ZENG Qi(School of Information Engineering,Jiangxi Manufacturing Vocational and Technical College,Nanchang 330095,China)

机构地区：[1]江西制造职业技术学院信息工程学院,江西南昌330095

出　　处：《数字通信世界》2022年第11期23-25,共3页Digital Communication World

摘　　要：在传统通信网络资源分配阶段,并未考虑链路实际利用率的影响,导致网络的吞吐量相对较低,为此,文章提出基于退火遗传算法的网络通信资源分配方法。针对通信信道的利用率问题,将其转化为信道执行通信传输任务时间开销最小化问题,作为通信资源分配的目标函数。在考虑了信道带宽、能量损耗以及噪声影响的基础上,将网络中的中继节点作为初始种群,利用退火遗传算法逐个计算满足目标函数的最优D2D链路,直至达到接收节点,将对应的传输信道作为分配结果。测试结果表明,文章提出的设计方法可以使通信网络的吞吐量明显高于对照组。In the traditional communication network resource allocation stage,the impact of actual link utilization is not considered,resulting in relatively low network throughput.Therefore,this paper proposes a network communication resource allocation method based on annealing genetic algorithm.Aiming at the utilization of communication channel,it is transformed into the problem of minimizing the time cost of the channel to perform communication transmission tasks,and then used as the objective function of communication resource allocation.On the basis of considering the channel bandwidth,energy loss and noise impact,the relay node in the network is taken as the initial population,and the annealing genetic algorithm is used to calculate the optimal D2D link that meets the objective function one by one until the receiver node is reached,and the corresponding transmission channel is taken as the allocation result.The test results show that the design method can make the throughput of the communication network significantly higher than that of the control group.

关 键 词：退火遗传算法 网络通信资源 通信信道 

分 类 号：TN929.5[电子电信—通信与信息系统]