ID 原文 译文
57688 仿真实验表明，算法能够实现接入资源的合理分配，在用户满意的同时实现运营商收益最大化. Simulation shows that it can achieve reasonable allocation of resources which can maximize overall revenue while satisfying users.
57689 超密集网络设备数目庞大导致缓存分配算法复杂度极高，频繁地缓存和删除同样的内容导致的系统不稳定，为此，提出了基于平均场博弈( MFG) 的分布式缓存分配算法和基于李雅普诺夫漂移加惩罚( DPP) 方法的分布式删除分配算法. A distributed caching allocation algorithm based on mean-field game ( MFG) and a distributeddeleting allocation algorithm based on Lyapunov drift-plus-penalty ( DPP) method were proposed to solvethe problem of caching allocation algorithms’extremely high complexity caused by lots of devices in ultradense network and the problem of system instability caused by caching and deleting same content frequently.
57690 MFG 方法使缓存分配算法的复杂度与基站数目无关. The caching allocation algorithm’s complexity independent of the number of base stations ismade by MFG.
57691 DPP 方法将具有时间相关性的删除分配问题解耦成为每个时刻的问题，并求解得到了兼顾系统稳定性和网络开销优化的删除分配策略. The time-correlated deleting allocation problem into problems each time slot is decoupledby DPP. Thereafter the deleting allocation policy for the tradeoff between system stability and minimizingnetwork cost gets solved.
57692 仿真结果表明，MFG 方法能够使网络最优控制策略快速收敛，并且在超密集场景下得到明显低于基本缓存分配方法的网络开销; Simulation shows that MFG can both make the network optimal control strategyconverge quickly and save network cost obviously compared to baseline caching allocation method underultra-dense scenario.
57693 李雅普诺夫 DPP 方法能够实现兼顾网络开销优化的网络缓存和删除稳定性. Lyapunov DPP method can ensure network caching and deleting stability while minimizing network cost.
57694 为了保障综合能源系统的稳定运行，承载综合能源业务的通信网络需要具备高可靠、低风险等特征. In order to ensure the stable operation of the integrated energy system，the integrated energy service needs to have high reliability and low risk when being carried by the communication network.
57695 依据综合能源业务的通道要求，提出了一种深度强化学习的算法，旨在对大规模综合能源业务在承载的电力通信网上寻找到整体最优的路径. According to the channel requirements of the integrated energy service，an algorithm of deep reinforcement learning is proposed，aiming to find the overall optimal path for the large-scale integrated energy service on the carried power communication network.
57696 该方法以整体时延和网络负载均衡度为目标，对网络拓扑进行训练，并保存模型，然后通过迭代学习获取最优的结果. The method that aims at the overall delay and network load balance，trains the network topology and saves the model，and then obtains the optimal result through it- erative learning.
57697 仿真结果表明，该方法找到的路径既可以保证整体时延较短，又可以保证网络的整体负载均衡. The simulation results show that the routing found by this method can ensure the overall delay is short and guarantee the overall load balance of the network.