TD-LTE-A系统下行链路资源分配算法研究

发布时间：2019-05-20 02:33

【摘要】：随着数据时代的来临，互联网业务需求的复杂化，人们对无线通信系统的服务速率等性能提出了更高的要求，推动了无线通信系统一代代的发展。由3GPP组织提出的LTE系统及后续的LTE-A系统得到了广泛的研究，其研究成果也逐步向市场化和产业化推进。2004年，我国向3GPP组织提出了采用OFDMA技术的TD-LTE标准，，并以此为基础，完善了4G标准：TD-LTE-A。虽然物理层技术得到了相对成熟的发展，但无线系统的带宽和有限的基站发射功率资源仍然十分稀缺，只单纯靠物理层技术的提升，很难满足越来越高的无线通信性能需求。因此，无线资源的高效管理与分配成为如今研究的热点。采用OFDMA技术的TD-LTE-A系统下行链路资源优化分配将成为无线网络性能提升的重要手段。本文主要研究的内容是TD-LTE-A下行链路资源分配中的功率分配算法，用以适应TD-LTE-A系统业务多样化的服务环境，提高系统内用户对业务的满意程度。本文首先简述了本课题的研究背景、目的及意义；第二对TD-LTE-A系统的信道增益模型及采用的OFDM技术进行了研究与分析；第三对跨层优化思想进行了研究，并介绍了跨层优化设计在本课题TD-LTE-A系统资源分配中的应用；第四对TD-LTE-A下行链路资源分配调度过程、性能评价标准、资源块分配方法进行了研究；第五着重研究了TD-LTE-A系统下行链路功率分配的算法，通过分析传统的注水算法、简单协同功率分配算法的原理，总结了两算法的缺点，并提出了联合优化设计的遗传算法作为本课题中的功率分配问题的解决方案。最后结合实际场景仿真了简单协同功率分配算法和遗传算法。本文通过理论及仿真结果分别对简单协同功率分配算法和遗传算法进行了详细的分析，得到了两种算法在对系统QoS用户服务保证、对BE用户服务性能、对系统全体用户服务性能三个主要方面的性能结果。通过比较两种算法的性能得出结论：随着系统中QoS用户数目的增多，遗传算法比简单协同功率分配算法的性能有更大的改善。
[Abstract]:With the advent of the data age and the complexity of Internet business requirements, people put forward higher requirements for the service rate and other performance of wireless communication systems, which promotes the development of wireless communication systems from generation to generation. The LTE system and the subsequent LTE-A system put forward by 3GPP organization have been widely studied, and their research results have been gradually promoted to marketization and industrialization. In 2004, China put forward the TD-LTE standard using OFDMA technology to 3GPP organizations. On this basis, the 4G standard: TD-LTE-A. is improved. Although the physical layer technology has been relatively mature development, the bandwidth of wireless system and the limited base station transmission power resources are still very scarce, only rely on the improvement of physical layer technology, it is difficult to meet the higher and higher wireless communication performance requirements. Therefore, the efficient management and allocation of wireless resources has become a hot research topic. The optimal allocation of downlink resources in TD-LTE-A system based on OFDMA technology will become an important means to improve the performance of wireless networks. The main content of this paper is the power allocation algorithm in TD-LTE-A downlink resource allocation, which is used to adapt to the diversified service environment of TD-LTE-A system and improve the satisfaction of users in the system. In this paper, the research background, purpose and significance of this subject are briefly described. Secondly, the channel gain model of TD-LTE-A system and the OFDM technology used are studied and analyzed. Thirdly, the idea of cross-layer optimization is studied, and the application of cross-layer optimization design in TD-LTE-A system resource allocation is introduced. Fourth, the resource allocation scheduling process, performance evaluation standard and resource block allocation method of TD-LTE-A downlink are studied. Fifth, the downlink power allocation algorithm of TD-LTE-A system is studied emphatically. by analyzing the traditional water injection algorithm and the principle of simple cooperative power allocation algorithm, the shortcomings of the two methods are summarized. The genetic algorithm of joint optimization design is proposed as the solution of power allocation problem in this paper. Finally, the simple cooperative power allocation algorithm and genetic algorithm are simulated in combination with the actual scene. In this paper, the simple cooperative power allocation algorithm and genetic algorithm are analyzed in detail through theoretical and simulation results, and the two algorithms are obtained to guarantee the QoS user service and the BE user service performance. The performance results of three main aspects of the service performance of all users of the system. By comparing the performance of the two algorithms, it is concluded that the performance of genetic algorithm is better than that of simple cooperative power allocation algorithm with the increase of the number of QoS users in the system.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

【相似文献】