绿色无线通信系统中的资源分配算法研究

发布时间：2018-10-23 14:12

【摘要】：无线通信系统的主要研究目标由2G(2nd Generation)阶段的覆盖优先,到3G阶段的容量优先,逐步转向到4G阶段以及未来的能量效率(Energy Efficiency,EE)优先。意在节能减排、绿色环保的“绿色通信”(Green Radio Communication)正逐渐成为未来无线移动通信系统的发展趋势。绿色无线通信系统中的资源分配技术在满足系统频谱效率(Spectral Efficiency,SE)需求前提下,通过子载波调度、功率分配甚至引入新的可再生能源,优化通信系统的能量效率EE,并改善用户间资源分配的公平性。本文分别针对三种无线通信系统的能量效率问题及优化算法进行了研究及仿真。本文首先对(Frequency Division Multiplexing,FDM)系统进行了简单的介绍,概述目前绿色无线通信领域的研究现状以及现有资源分配算法的研究方向和研究成果,从而引出本文的研究内容,最后介绍论文的逻辑结构。第二章就正交频分多址接入(Orthogonal Frequency Division Multiple Access,OFDMA)多用户系统中的资源分配算法进行了研究。首先对传统的几种资源分配算法进行了简单分析。接着针对用户的能效公平性问题,提出了一种基于能量效率比例公平的资源分配算法。该算法在保证用户传输数据率的前提下,最大程度满足用户间的能效比例公平要求,同时通过最优传输功率闭式解提高系统的总体能效性能。第三章研究了单载波频分多址(Single Carrier Frequency Division Multiple Access,SC-FDMA)的资源分配算法。针对SC-FDMA系统的单载波特性,将子载波进行分簇。首先讨论了子载波按相同的个数分簇,不同分配方式下用户的能效公平性及系统能效。同时比较等效信道指标,如信噪比(Channel gain to Noise Ratio,CNR)对系统性能的影响。针对连续子载波均匀分簇算法下系统能效较低的问题,提出了一种基于能效最优的连续子载波非均匀分簇算法。该算法根据用户信道质量动态配置各用户占用连续子载波簇的大小,在保证用户数据传输速率下,提高系统的总体能量效率。第四章研究了基于可再生能源的无线通信系统的资源分配算法。首先介绍了可再生能源的无线传输系统模型以及基于传输时间最小化的资源分配算法,通过仿真对该优化算法的系统能效性能进行分析验证。接着介绍了传统能源辅助下可再生能源的资源分配问题,提出了一种高能效的双能源混合使用算法,在可再生能源不一定能够满足传输任务要求的情况下,利用传统能源辅助传输,同时充分使用可再生能源。最后总结全文,指出未来的研究工作与方向。
[Abstract]:The main research goal of wireless communication system is from 2G (2nd Generation) coverage priority to 3G capacity priority to 4G phase and future energy efficiency (Energy Efficiency,EE) priority. Green Communication (Green Radio Communication), which aims to save energy and reduce emissions, is becoming the development trend of wireless mobile communication system in the future. The resource allocation technology in green wireless communication system can meet the requirement of spectrum efficiency (Spectral Efficiency,SE), and even introduce new renewable energy through subcarrier scheduling, power allocation and even new renewable energy. The energy efficiency EE, of communication system is optimized and the fairness of resource allocation among users is improved. In this paper, the energy efficiency and optimization algorithms of three wireless communication systems are studied and simulated. Firstly, this paper introduces the (Frequency Division Multiplexing,FDM system, summarizes the current research situation in the field of green wireless communication, the research direction and the research results of the existing resource allocation algorithms, thus leads to the research content of this paper. Finally, the logical structure of the thesis is introduced. In chapter 2, the resource allocation algorithm in orthogonal frequency division multiple access (Orthogonal Frequency Division Multiple Access,OFDMA) multiuser systems is studied. Firstly, several traditional resource allocation algorithms are simply analyzed. Then a resource allocation algorithm based on proportional fairness of energy efficiency is proposed to solve the problem of energy efficiency fairness. Under the premise of guaranteeing the data rate of user transmission, the algorithm can meet the requirements of fairness of energy efficiency ratio among users to the maximum extent, and improve the overall energy efficiency performance of the system by means of the optimal transmission power closed solution. In chapter 3, the resource allocation algorithm of single carrier frequency division multiple access (Single Carrier Frequency Division Multiple Access,SC-FDMA) is studied. According to the single carrier characteristics of SC-FDMA system, the subcarriers are clustered. Firstly, the energy efficiency fairness and system energy efficiency of users with the same number of subcarriers and different allocation methods are discussed. At the same time, the influence of equivalent channel indexes, such as SNR (Channel gain to Noise Ratio,CNR, on system performance is compared. In order to solve the problem of low energy efficiency in continuous subcarrier uniform clustering algorithm, a continuous subcarrier nonuniform clustering algorithm based on optimal energy efficiency is proposed. According to the user channel quality, the algorithm dynamically configures the size of the continuous subcarrier clusters occupied by each user, and improves the overall energy efficiency of the system under the guarantee of the user data transmission rate. In chapter 4, the resource allocation algorithm of wireless communication system based on renewable energy is studied. Firstly, the wireless transmission system model of renewable energy and the resource allocation algorithm based on transmission time minimization are introduced, and the system energy efficiency performance of the optimization algorithm is analyzed and verified by simulation. Then, this paper introduces the resource allocation problem of renewable energy under the aid of traditional energy, and puts forward a high energy efficiency dual-energy mixed use algorithm, which can not meet the transmission requirements of renewable energy. Use traditional energy to aid transmission, at the same time make full use of renewable energy. Finally, the paper summarizes the full text and points out the future research work and direction.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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