ID 原文 译文
14395 针对现有智能路由技术无法适用于动态拓扑的不足,提出了一种面向动态拓扑的深度强化学习智能路由技术,通过使用图神经网络近似PPO(Proximal Policy Optimization)强化学习算法中的策略函数与值函数、策略函数输出所有链路的权值、基于链路权值计算最小成本路径的方法,实现了路由智能体对不同网络拓扑的泛化。 For the shortcoming that most state-of-the-art deep reinforcement learning(DRL)-based routing solutions cannot be used in networks with dynamic topology, a DRL-based routing solution for dynamic topology networks is proposed. Graph networks are used to approximate policy function and value function in proximal policy optimization (PPO) reinforcement learning algorithm, the link weights are output by the graph nets policy function and the least weight path is computed by the traditional constrained shortest path routing algorithm based on the link weights, thus achieving the generalization of the routing agent to different network topolooies.
14396 仿真结果表明,所提方法可适应动态拓扑的变化并具有比传统的最短路由算法更高的网络吞吐量。 Simulation results indicate that the proposed routing solution can adant to dynamic network topology and outperforms the shortest path routing in network throughputs.
14397 随着5G时代的来临,工业物联网将迎来蓬勃发展。 With the advent of the 5G era,the technology of industrial Internet of Things(IoT) is springing up vigorously.
14398 然而,联网设备数量的不断增加,加剧了有限的频谱资源与大量的通信需求之间的矛盾。 However, as the number of Internet devices is constantly rising, conflict between limited spectrum resources and high demand for communication is intensified.
14399 针对以上问题,提出了一种基于聚类分组和深度强化学习的合作式动态频谱分配算法,使用户可以获得较低的信息传输中断概率以及较少的多跳转发次数,快速找到信息传输的最优路径。 For the above problems, this paper proposes a dynamic grouping strategy based on a new grouping clustering mode and deep reinforcement earning(DRLalgorithm. The algorithm can relatively lower interruptive possibility of information trans. mission and multiple jumps for users who can efficiently find the optimal path of information transmission.
14400 在动态频谱分配中,该算法可以有效降低主、次用户信道接入的碰撞概率,提升频谱资源的利用率。 Furthermore, in the process of dynamic spectrum allocation, the algorithm can effectively reduce the colli- sion probability and promote the utilization of primary and secondary user of spectrum resources channel.
14401 对于少部分计算能力有限的用户,通过协调同组次用户的计算能力来完成策略的训练,实现了计算资源的高效利用。 Additionally, for a small portion of those users,with limited computing ability, they can complete the strate- gy training by cooperating with other users of the same groups,thus realizing the efficient utilization of com- puting resources.
14402 经过多次仿真实验验证,所提出的联合算法与现有的方法相比具有更高的信道利用率和更低的用户接入碰撞率。 Numerous simulation experiments suggest that, compared with methods on hand, the pro- posed joint algorithm has the advantages over higher rate channel utilization and lower collision probability of user access.
14403 为解决军事信息系统体系建设过程中面临的需求获取难、描述不统一、验证方式缺乏等问题,开展了体系需求论证的理念、方法等研究和总结,并提出了体系需求论证的组织过程。 In order to solve the challenge in the process of developing military information systems,such as difficulty in obtaining requirement,inconsistent requirement description and lack of verification tools , the concept,method and organization process of system of systems( SoSs) requirement demonstration are stud- ied.
14404 同时,以外军岛屿夺控作战为典型案例,示范了上述方法和组织过程,阐述了所提方法和组织过程的有效性。 Besides,a typical case,amphibious operation concept, is provided to illustrate the effectiveness of the proposed method and process.