基于4G用户行为分析的小小区组网策略研究

发布时间：2018-04-23 04:19

本文选题：用户行为分析 + 小小区　；参考：《北京邮电大学》2015年硕士论文

【摘要】：在4G及未来移动通信网络中,用户的无线数据业务将呈爆炸性增长趋势,而且随着移动通信发展的趋势从承载语音为主转为承载数据为主,目前的宏小区会无法支持与日俱增的无线数据业务。宏小区和小小区共同部署的场景是非常有意义的,因为在盲点区域、覆盖弱的区域合理地部署小小区可以高效地使得网络覆盖到每一个角落。因此小小区组网策略将会是未来移动通信研究的必要方面。功率控制及分配作为小小区组网策略中非常重要的一部分,将是本文重点研究的内容。本文针对异构网络下小小区的功率控制及分配策略展开研究,达到提升用户的业务质量水平、提高系统能效和系统总体性能的目标。下面是本文的主要创新点与研究点。针对TD-LTE覆盖范围内的某个热点区域,对该热点区域中的用户进行业务行为数据的采集与分析。为了保证数据来源的真实、可靠、适用,本文首先采用专门的应用软件获取了大量用户业务行为数据。其次,对所获得的数据进行分类整理,按照权威性和数据统计相识度来筛选可靠的数据。应用软件采集的数据量较大,所以在后台程序的设计中只按照要统计的参数进行统计。最后,本文选取业务量排在前一百位的业务数据从不同业务使用的用户数目、业务访问流量、业务下载速率等多个维度进行统计与分析,最后分析归纳TD-LTE网络中的用户业务行为具有的关键特征。基于上述特征,本文分析了小小区组网策略的需求,开展了小小区组网的功率控制策略研究,分别对上行场景和下行场景的功率控制策略提出了具体的研究方案。针对宏小区和小小区同频部署的场景中处于上下行分离状态的用户,本文采用博弈论的方法对该部分用户进行上行功率控制研究,使用户的总吞吐量得到提升。首先,文中详细描述了所采用的上行功率控制场景与系统模型。其次,文中阐述了在该场景下采用的效益函数与非线性代价函数,纳什解的存在性与唯一性也得到了论证。最后通过仿真结果验证该博弈模型的可行性与合理性,并通过仿真证明非线性代价函数的博弈模型性能优于线性代价函数的博弈模型。在此基础上,本文还提出一种功率调整算法,该算法对用户的初始发射功率即博弈迭代的初始值进行调整,进一步优化用户的博弈结果。针对宏小区和小小区同频部署的场景,结合用户的业务类型与业务需求,本文采用博弈论的方法对宏基站及小小区基站进行下行功率分配研究,使得系统的能效最优。本文介绍了下行功率分配的场景与系统模型,即宏小区和小小区同频部署的场景,并结合用户的业务类型与业务需求,合理分配小小区基站的发射功率,达到最优化系统能效的目的。在该场景下的纳什解的存在性与唯一性得到了论证。仿真结果标明：与基站等功率分配相比,该博弈模型的基站功率分配策略使得系统的能效更优。在本文的最后,本文对所研究的内容进行了总结,并对上述研究内容的未来发展方向进行了展望。
[Abstract]:In the 4G and future mobile communication networks, the user's wireless data service will show an explosive growth trend, and with the trend of mobile communication development from carrying voice to carrying data, the current macro community will not support the growing wireless data service. The scene of the joint deployment of small and small areas is very good. In the blind spot area, the reasonable deployment of small cell in the weak area can effectively make the network cover every corner. Therefore, the small cell networking strategy will be a necessary aspect of the future mobile communication research. Power control and distribution as a very important part of the small area networking strategy will be the focus of this paper. In this paper, the power control and allocation strategy of small cell under the heterogeneous network is studied to improve the quality of the user's business, improve the system energy efficiency and the overall performance of the system. The following are the main innovation points and research points.
In order to ensure the authenticity, reliability and application of the data sources in the hot area of a hot area in the TD-LTE coverage area, in order to ensure the authenticity, reliability and application of the data sources, a large number of users' business behavior data are obtained by using special application software. Secondly, the data obtained are classified and arranged. To select reliable data according to authority and data statistics. The amount of data collected by the application software is large, so the statistics are used in the design of the background program. Finally, this paper selects the number of users, the traffic access traffic, the business traffic, and the business data that the business data are ranked in the top one hundred bits. The key features of the user business behavior in TD-LTE network are analyzed and summarized. Based on the above features, this paper analyzes the requirements of the small cell networking strategy and studies the power control strategy of the small cell networking, and the power control strategy of the uplink scene and downlink scene is proposed respectively. A specific research program has been made.
In view of the users in the same frequency deployment scene of the macro and small communities, this paper uses the method of game theory to study the uplink power control of this part of the user, and improves the total throughput of the users. First, the uplink power control scene and system model are described in detail. Secondly, in this paper The benefit function and nonlinear cost function used in this scene are expounded, and the existence and uniqueness of the Nash solution are also demonstrated. Finally, the feasibility and rationality of the game model are verified by simulation results, and the game model of the game model of nonlinear cost function is proved to be better than the linear cost function model through simulation. On this basis, this paper also proposes a power adjustment algorithm, which adjusts the initial launch power of the user, that is, the initial value of the game iteration, and further optimizes the user's game results.
In view of the scene of the same frequency deployment of the macro and small communities, combining the service types and business requirements of the users, this paper uses the method of game theory to study the downlink power distribution of the Acer station and the small cell base station, making the system's energy efficiency optimal. This paper introduces the downlink power allocation scene and system model, that is, the same frequency of the macro and small communities. In this scenario, the existence and uniqueness of the Nash solution in this scenario are demonstrated. The simulation results show that the power allocation of the base station of the game model is compared with the base station power allocation. The strategy makes the system more efficient.
At the end of this paper, the contents of the research are summarized, and the future development direction of the above research contents is prospected.

【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN929.53

【参考文献】