超密度移动蜂窝网络能量效率优化理论与技术研究

项目名称： 超密度移动蜂窝网络能量效率优化理论与技术研究

项目编号： No.61501028

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 杨凯

作者单位： 北京理工大学

项目金额： 19万元

中文摘要： 移动互联网业务的爆炸式增长使得超密度移动蜂窝网络成为未来蜂窝网络的发展趋势，而网络流量的指数级增长导致降低单位流量的能量消耗成为未来超密度移动蜂窝网络必将面临的挑战。在超密度移动蜂窝网络中，基站和用户的密度相比现有蜂窝网络会极大提高，基站的密度甚至会超过用户的密度。针对超密度移动蜂窝网络节点密度极高的特点，本项目拟从系统和网络的角度探索网络能量效率优化的机理与方法，从用户的角度探索网络能量效率最优的资源分配机制与算法，为未来超密度移动蜂窝网络的资源分配与管理提供理论基础和依据。首先，本项目将基于随机几何理论建立超密度移动蜂窝网络随机空间模型，分析网络能量效率，揭示网络参数对能量效率的影响。其次，基于优化理论对超密度移动蜂窝网络中的资源分配问题进行数学建模，设计基于能量效率的资源分配算法。最后，基于环绕式处理技术设计开发系统级仿真平台，对理论分析结果以及设计的资源分配算法进行验证。

中文关键词： 超密度移动蜂窝网络；能量效率；资源分配；随机几何；优化理论

英文摘要： With the explosive increase of mobile internet services, super-dense mobile cellular networks become the development tendency of future cellular networks. And with the exponential increase of data traffic, reducing energy consumption per unit of traffic will be challenging for future super-dense mobile cellular networks. In the super-dense mobile cellular networks, the densities of base stations and users will be increased significantly, and the density of base stations can be even higher than that of users. According to the property of super-dense mobile cellular networks, we plan to explore the mechanism and methodology for optimizing the network energy efficiency from the system and network perspective, and investigate the mechanism and algorithm for network resource allocation with optimal energy efficiency from the user perspective, which will provide theoretical foundation for the resource allocation and management of the future super-dense mobile cellular networks. Firstly, we try to theoretically analyze the energy efficiency of the super-dense mobile cellular networks and reveal the impacts of network parameters on the energy efficiency based on the random spatial model, which is derived from the stochastic geometry. Secondly, we will formulate the resource allocation problems in super-dense mobile cellular networks into mathematical models based on optimization theory, and design the energy-efficient resource allocation algorithms. Finally, we will design and develop the system-level simulation platform based on wrap around method, and evaluate the theoretical analysis results and the designed resource allocation algorithms.

英文关键词： Super-dense mobile cellular networks;Energy efficiency;Resource allocation;Stochastic geometry;Optimization theory