|关键词||平行网络 资源分配 服务质量 网络优化|
随着通信技术的高速发展，人们对通信业务的需求从最初的语音通话逐渐转换为更加复杂的混合业务（如音频、视频等），同时对服务质量(Quality of Service, QoS)的需求也不断提高。未来无线通信系统面临的最大挑战之一就是提高网络频谱资源利用率，为用户提供更高的QoS。然而，随着用户数量的增加、网络规模的扩大以及业务的创新，基于现有网络架构的无线资源管理和调度技术已无法满足现有及未来网络需求。
; With the rapid development of wireless communication technology, the demand for communication services is gradually changed from simple voice to complex mixed services (e.g. audio, radio, and so on), and the requirement of Quality of Service (QoS) is gradually improved. The next generation communication networks are envisioned to improve the spectrum efficiency and guarantee the QoS requirement. However, with the expanding network scale, continuously-innovation network business, and increasing network users, the wireless resource management and scheduling technologies based on current network architectures can hardly meet the network requirement.
Based on ACP theory and the technologies of next generation networks, we propose a novel network architecture and several resource allocation mechanisms based on the proposed architecture. The main contributions of the dissertation are as follows:
Firstly, the parallel network architecture based on parallel system theory is proposed. It not only enhances the ability of resource management, but also improves the network optimization performance. With the help of parallel network, we can model the actual network system and construct its corresponding artificial network systems, and make it more convenient to manage and control wireless network resource. Parallel network can revise and predict the network status, and make the real-time network conditions optimized.
Secondly, this thesis propose a novel strategy for resource allocation and access control based on parallel network. The utility function model is constructed, and the required user bandwidth is maximized. In addition, the artificial network can store the network status and the corresponding optimized solutions. As the user behaviors are regular, when an identical network status occurred, the control center can directly provide the optimized solutions without repeatedly executing the resource allocation algorithm.
Thirdly, this thesis propose the user priority-based network resource optimization mechanism. In the mechanism, the user priority is considered. When the network is heavily-loaded, the mechanism can decrease the bandwidth of a few users to make a new user access to this base station, and provide the high priority user a higher QoS in the same condition. When the network is lightly-loaded, the mechanism can provide all the users an optimal QoS and balance the base station load for the whole network system. To increase the network capacity for accommodating more users, the proposed mechanism can hand over a user from one heavily-loaded BS to the lightly-loaded ones. In addition, the Q-Learning algorithm is applied in the mechanism for its practical implementation.
|杨坚. 基于平行网络的无线资源管理和分配技术研究[D]. 北京. 中国科学院研究生院,2017.|