The rapid development and deployment of network services has brought a series of challenges to researchers. On the one hand, the needs of Internet end users/applications reflect the characteristics of travel alienation, and they pursue different perspectives of service quality. On the other hand, with the explosive growth of information in the era of big data, a lot of private information is stored in the network. End users/applications naturally start to pay attention to network security. In order to solve the requirements of differentiated quality of service (QoS) and security, this paper proposes a virtual network embedding (VNE) algorithm based on deep reinforcement learning (DRL), aiming at the CPU, bandwidth, delay and security attributes of substrate network. DRL agent is trained in the network environment constructed by the above attributes. The purpose is to deduce the mapping probability of each substrate node and map the virtual node according to this probability. Finally, the breadth first strategy (BFS) is used to map the virtual links. In the experimental stage, the algorithm based on DRL is compared with other representative algorithms in three aspects: long term average revenue, long term revenue consumption ratio and acceptance rate. The results show that the algorithm proposed in this paper has achieved good experimental results, which proves that the algorithm can be effectively applied to solve the end user/application differentiated QoS and security requirements.
User profile based proportional share scheduling and mac protocol for manets
服务质量（Quality of Service，QoS）在移动自组网（Mobile Ad Hoc Networks，MANN）中的重要应用，使得QoS成为一个必须解决的问题。为属于不同配置文件并扮演不同角色的用户提供QoS成为时代的需要。本文提出了一种基于比例共享调度和MAC协议（PS2-MAC）模型。它基于用户的简档将用户分类为高简档用户（HP）、中等简档用户（MP）和低简档用户（LP），并分配比例权重。这三种业务类别的业务区分是通过定量出队算法、可变帧间间隔、成比例的优先级退避定时器和增强的RTS/CTS控制分组来实现的。在ns 2中对区分服务进行了仿真，结果表明，我们提出的方案比现有方案减少了9.5%的控制开销，结果也证明，区分服务已经实现了不同配置文件的用户比例份额，从而减少饥饿。
Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
School of Telecommunications Engineering, Xidian University（西安电子科技大学电信工程学院）；Division of Integrative Systems and Design, The Hong Kong University of Science and Technology（香港科学与技术大学整合系统与设计系）；School of Electronic and Information Engineering, Beijing Jiaotong University（北京交通大学电子与信息工程学院）；Department of Electrical and Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系）
