LTE系统中家庭基站的资源分配与接入选择算法研究

发布时间：2018-05-13 05:08

本文选题：家庭基站 + 干扰管理　；参考：《西安电子科技大学》2014年硕士论文

【摘要】：随着科技的飞速进步和LTE网络的逐渐普及,用户对移动通信的传输速率和传输质量有了更高的需求。同时,室内通信的比例也在日益增加,移动网络的室内覆盖问题逐渐受到重视。LTE中引入家庭基站不仅能够解决传输速率和传输质量方面的问题,还可以有效分担宏基站网络日益繁重的业务量。由于家庭基站与原有的宏基站构成了异构网络,而该网络中存在的同层干扰问题与跨层干扰问题都已成为业内研究的重点。本文首先对LTE的关键技术和家庭基站的技术特点和进行了介绍,分析了它们构成的异构网络中的干扰情况,并介绍了干扰管理的主要方法和一些已有的研究成果。在此基础上,论文的研究重点是基于资源分配和家庭基站接入选择的异构网络干扰管理策略。为了解决异构网络中下行链路的频谱块分配问题,本文提出了一种结合了模拟退火算法与蚁群优化算法的混合算法。该算法利用模拟退火算法具有优异的求解能力,以及蚁群优化算法在后期求解高效的特点合理分配下行链路的频谱块,提高系统的传输速率。算法的主要步骤是,首先通过对频谱块进行预分配来满足用户的基本通信需求;对于剩余的频谱块,利用模拟退火算法来进行初始分配,并将分配结果生成信息素矩阵;最后通过蚁群优化算法利用该信息计算出最后的分配方案。仿真结果表明,相对于普通的蚁群优化算法,使用该算法使系统保持较好的公平性,并有效地提升系统的传输速率。此外,针对由多个开放式接入的家庭基站构成的覆盖网络,本文还研究了一种家庭基站的接入选择方案,通过为用户选择合适的服务基站,能够有效避免同层干扰和跨层干扰。在该方案中,首先根据系统中的用户和家庭基站所在的位置对它们进行分类,然后采用改进的局部优化算法来为用户选择接入的家庭基站,最后再通过频谱块的分配和功率控制来进一步的降低系统中的同层干扰。仿真结果显示,该算法可以很好地降低系统中的干扰,同时提升了系统的传输速率。
[Abstract]:With the rapid development of science and technology and the popularization of LTE network, users have higher demand for the transmission rate and quality of mobile communication. At the same time, the proportion of indoor communication is increasing day by day. The indoor coverage of mobile network has been paid more and more attention to. LTE not only can solve the problem of transmission rate and transmission quality, but also introduce the home base station. Also can effectively share the Acer station network increasingly heavy traffic. Because the home base station and the original macro base station constitute the heterogeneous network, the same layer interference problem and the cross layer interference problem existing in the network have become the focus of the industry research. In this paper, the key technologies of LTE and the technical characteristics and characteristics of home base stations are introduced, and the interference in heterogeneous networks is analyzed. The main methods of interference management and some existing research results are also introduced. On this basis, this paper focuses on heterogeneous network interference management strategies based on resource allocation and home base station access selection. In order to solve the problem of spectrum block allocation in downlink in heterogeneous networks, a hybrid algorithm combining simulated annealing algorithm and ant colony optimization algorithm is proposed in this paper. The algorithm makes use of the excellent ability of simulated annealing algorithm and ant colony optimization (ACO) algorithm to allocate the downlink spectrum blocks reasonably and improve the transmission rate of the system. The main steps of the algorithm are: first, the spectrum blocks are pre-allocated to meet the basic communication needs of users; for the remaining spectrum blocks, the initial allocation is made by simulated annealing algorithm, and the allocation results are generated into pheromone matrices. Finally, the ant colony optimization algorithm is used to calculate the final allocation scheme. The simulation results show that compared with the common ant colony optimization algorithm, the proposed algorithm can keep the fairness of the system and improve the transmission rate of the system effectively. In addition, for the overlay network composed of multiple open access home base stations, this paper also studies an access selection scheme for the home base stations. By selecting suitable service base stations for the users, we can effectively avoid the same layer interference and cross layer interference. In this scheme, the user and the home base station are classified according to the location of the system, and then the improved local optimization algorithm is used to select the home base station for the user. Finally, the spectrum block allocation and power control are used to further reduce the same layer interference in the system. The simulation results show that the proposed algorithm can reduce the interference and improve the transmission rate of the system.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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