【摘要】：在移動通信飛速發(fā)展的今天,用戶數(shù)量急劇增長,人們對視頻和語音的質量要求越來越高,導致了能量資源、頻譜資源日益緊張。據(jù)報道,包括蜂窩網(wǎng)絡在內的整個通信行業(yè)的能耗占據(jù)全球二氧化碳排放量的2%。以往對移動通信系統(tǒng)的研究,只注重追求系統(tǒng)容量和頻譜效率的提高,而忽略了全球環(huán)境形勢的日益嚴峻,迫切需要提高系統(tǒng)能量效率(Energy Efficiency,EE),同時加強綠色能源的使用和管理。無線通信的應用領域越來越廣,隨著多媒體業(yè)務的迅猛發(fā)展,造成頻譜資源緊缺。鑒于在異構蜂窩網(wǎng)絡中,可再生能源和傳統(tǒng)電網(wǎng)共存技術在全國范圍內提出并推廣,因此需要對能量效率和頻譜效率問題進行更為廣泛深入的研究,設計異構蜂窩網(wǎng)絡資源分配策略,用于改善異構蜂窩網(wǎng)絡用能現(xiàn)狀。本文首先設計了特殊場景(例如,傳輸前已知數(shù)據(jù)包大小)下的基于能量共享的異構蜂窩網(wǎng)絡離線功率分配策略,并通過MATLAB仿真驗證了基于定向注水算法的異構蜂窩網(wǎng)絡資源分配算法的系統(tǒng)性能。然后根據(jù)離線場景,提出了一般情況下的在線次優(yōu)分配算法,設計了基于最小二乘支持向量回歸(LSSVR-Q)的能量合作學習算法來分配異構蜂窩網(wǎng)絡資源,實現(xiàn)了系統(tǒng)建模和算法仿真分析。最后討論在頻譜認知網(wǎng)絡環(huán)境下,基于LSSVR-Q的認知異構網(wǎng)資源優(yōu)化。在異構網(wǎng)絡功率分配的基礎上,應用基于LSSVR-Q算法和動態(tài)定價算法,實現(xiàn)系統(tǒng)的能量效率和頻譜效率均衡優(yōu)化目標。完成相關仿真測試與結果分析,其結果證實了基于LSSVR-Q算法的頻譜效率和能量效率聯(lián)合優(yōu)化目標函數(shù)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.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5

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