基于能量共享的异构蜂窝网络资源分配

发布时间：2018-10-21 10:36

【摘要】：在移动通信飞速发展的今天,用户数量急剧增长,人们对视频和语音的质量要求越来越高,导致了能量资源、频谱资源日益紧张。据报道,包括蜂窝网络在内的整个通信行业的能耗占据全球二氧化碳排放量的2%。以往对移动通信系统的研究,只注重追求系统容量和频谱效率的提高,而忽略了全球环境形势的日益严峻,迫切需要提高系统能量效率(Energy Efficiency,EE),同时加强绿色能源的使用和管理。无线通信的应用领域越来越广,随着多媒体业务的迅猛发展,造成频谱资源紧缺。鉴于在异构蜂窝网络中,可再生能源和传统电网共存技术在全国范围内提出并推广,因此需要对能量效率和频谱效率问题进行更为广泛深入的研究,设计异构蜂窝网络资源分配策略,用于改善异构蜂窝网络用能现状。本文首先设计了特殊场景(例如,传输前已知数据包大小)下的基于能量共享的异构蜂窝网络离线功率分配策略,并通过MATLAB仿真验证了基于定向注水算法的异构蜂窝网络资源分配算法的系统性能。然后根据离线场景,提出了一般情况下的在线次优分配算法,设计了基于最小二乘支持向量回归(LSSVR-Q)的能量合作学习算法来分配异构蜂窝网络资源,实现了系统建模和算法仿真分析。最后讨论在频谱认知网络环境下,基于LSSVR-Q的认知异构网资源优化。在异构网络功率分配的基础上,应用基于LSSVR-Q算法和动态定价算法,实现系统的能量效率和频谱效率均衡优化目标。完成相关仿真测试与结果分析,其结果证实了基于LSSVR-Q算法的频谱效率和能量效率联合优化目标函数的有效性。
[Abstract]:With the rapid development of mobile communication, the number of users is increasing rapidly, and the quality of video and voice is becoming more and more demanding, which leads to the energy resources and the increasingly tight spectrum resources. Energy consumption in the entire communications industry, including cellular networks, is reported to account for 2 percent of global carbon dioxide emissions. In the past, the research of mobile communication system only focused on the improvement of system capacity and spectrum efficiency, while ignoring the increasingly severe global environmental situation, it is urgent to improve the system energy efficiency (Energy Efficiency,EE), and to strengthen the use and management of green energy. With the rapid development of multimedia services, the spectrum resources are in short supply. In view of the fact that, in heterogeneous cellular networks, the coexistence of renewable energy sources and traditional power grids has been proposed and promoted throughout the country, energy efficiency and spectrum efficiency issues need to be studied more extensively and in depth, A resource allocation strategy for heterogeneous cellular networks is designed to improve the current situation of energy use in heterogeneous cellular networks. In this paper, we first design an off-line power allocation strategy for heterogeneous cellular networks based on energy sharing in special scenarios (for example, known packet size prior to transmission). The system performance of heterogeneous cellular network resource allocation algorithm based on directional water injection algorithm is verified by MATLAB simulation. Then, according to the off-line scenario, an online sub-optimal allocation algorithm is proposed, and an energy cooperative learning algorithm based on least squares support vector regression (LSSVR-Q) is designed to allocate resources in heterogeneous cellular networks. System modeling and algorithm simulation are realized. Finally, the optimization of cognitive heterogeneous network resources based on LSSVR-Q in spectrum cognitive network environment is discussed. On the basis of power allocation in heterogeneous networks, the energy efficiency and spectrum efficiency of the system are optimized by using LSSVR-Q algorithm and dynamic pricing algorithm. The simulation results show that the LSSVR-Q algorithm is effective in the joint optimization of the objective function of spectrum efficiency and energy efficiency.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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