短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规...短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规划,以满足给定用户需求情况下使用最少频率为优化目标进行建模,并利用遗传算法对模型进行求解。仿真结果表明,采用遗传算法对用户进行频率规划比“先到先得、用后释放”的方式具有更高的频率利用效率,证明了短波分集网服务大量用户时采用频率规划的必要性。HF diversity communication network adopts multiple frequencies to support user communication, in order to improve the reliability of receiving. At present, it adopts the method of “first come, first served, release after use” to provide a frequency guarantee for user communication. When multiple users access concurrently, there are problems of excessive consumption and the waste of frequency resources. In this paper, we propose the frequency resource planning of HF diversity communication network and model the optimization goal using the least frequency to meet the given user’s needs, and a genetic algorithm is used to solve the model. The simulation results show genetic algorithm has higher frequency utilization efficiency than the “first come, first served, release after use” method, which proves the necessity of frequency planning when the HF diversity network serves a large number of users.展开更多
文摘短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规划,以满足给定用户需求情况下使用最少频率为优化目标进行建模,并利用遗传算法对模型进行求解。仿真结果表明,采用遗传算法对用户进行频率规划比“先到先得、用后释放”的方式具有更高的频率利用效率,证明了短波分集网服务大量用户时采用频率规划的必要性。HF diversity communication network adopts multiple frequencies to support user communication, in order to improve the reliability of receiving. At present, it adopts the method of “first come, first served, release after use” to provide a frequency guarantee for user communication. When multiple users access concurrently, there are problems of excessive consumption and the waste of frequency resources. In this paper, we propose the frequency resource planning of HF diversity communication network and model the optimization goal using the least frequency to meet the given user’s needs, and a genetic algorithm is used to solve the model. The simulation results show genetic algorithm has higher frequency utilization efficiency than the “first come, first served, release after use” method, which proves the necessity of frequency planning when the HF diversity network serves a large number of users.
