云无线接入网接入方案设计
发布时间：2019-06-29 16:49
【摘要】：随着现代社会的高速发展,科技发达,信息流通,人们之间的交流越来越密切,生活也越来越方便,由此也带来了海量的大数据,企业可以持续地发展并改进新业务及其模式。但是,如此大量的数据也给现有的通信系统造成了很大的负担,传统的无线接入网络也面临着这些数据带来的业务压力,为了能更好地处理信息,出现了一种基于分布式远端射频头和集中式基带处理池架构的新型接入网络,云无线接入网(C-RAN)。它是基于集中化处理、协作式无线电和实时云计算构架的绿色无线接入网构架。总目标是为解决移动互联网快速发展给运营商所带来的多方面挑战,追求未来可持续的业务和利润增长。本文建立在C-RAN架构的基础上,在蜂窝集群中,运用盲信源分离算法,设计一种根据云蜂窝网络拓扑结构进行信道选择的接入策略,使蜂窝系统在工作时可以选择合适的接入用户,以此来提高协作通信的效率。并且针对系统性能较差的拓扑结构,对原有接入策略进行改良,使得系统拥有最佳的误码率性能。仿真结果表明,提出的接入策略可以有效降低系统误码率、提高信道使用效率。另外,针对接入策略中移动用户信号源定位的问题,本文结合了最大似然估计法则对直接定位精度估算问题进行了分析,并推导了直接定位在量化前后的克拉美罗界(Cramér Rao bound)。设计仿真实验验证了直接定位的各项指标性能,实验表明,直接定位方式定位精度远优于非直接定位,并且在信噪比足够好时,能非常接近其克拉美罗界。
[Abstract]:With the rapid development of modern society, the development of science and technology, the flow of information, the communication between people is getting closer and closer, and the life is becoming more and more convenient, which also brings a large number of big data, and enterprises can continuously develop and improve the new business and its model. However, such a large amount of data also causes a great burden to the existing communication system, and the traditional wireless access network is also facing the service pressure brought by these datas. In order to better process the information, a new access network based on distributed remote RF head and centralized baseband processing pool architecture, Cloud Wireless access Network (C-RAN), has emerged. It is a green wireless access network architecture based on centralized processing, collaborative radio and real-time cloud computing architecture. In order to solve the challenges brought by the rapid development of mobile Internet to operators, the overall goal is to pursue sustainable business and profit growth in the future. Based on C-RAN architecture, this paper designs an access strategy for channel selection according to cloud cellular network topology by using blind source separation algorithm in cellular cluster, so that the cellular system can select suitable access users when working, so as to improve the efficiency of cooperative communication. Aiming at the topology with poor performance, the original access strategy is improved to make the system have the best bit error rate (BER) performance. The simulation results show that the proposed access strategy can effectively reduce the bit error rate (BER) and improve the channel efficiency. In addition, in order to solve the problem of mobile user signal source location in access strategy, this paper analyzes the problem of direct location accuracy estimation combined with the maximum likelihood estimation rule, and deduces the Cram 茅 r 鈮，
本文编号：2507964
[Abstract]:With the rapid development of modern society, the development of science and technology, the flow of information, the communication between people is getting closer and closer, and the life is becoming more and more convenient, which also brings a large number of big data, and enterprises can continuously develop and improve the new business and its model. However, such a large amount of data also causes a great burden to the existing communication system, and the traditional wireless access network is also facing the service pressure brought by these datas. In order to better process the information, a new access network based on distributed remote RF head and centralized baseband processing pool architecture, Cloud Wireless access Network (C-RAN), has emerged. It is a green wireless access network architecture based on centralized processing, collaborative radio and real-time cloud computing architecture. In order to solve the challenges brought by the rapid development of mobile Internet to operators, the overall goal is to pursue sustainable business and profit growth in the future. Based on C-RAN architecture, this paper designs an access strategy for channel selection according to cloud cellular network topology by using blind source separation algorithm in cellular cluster, so that the cellular system can select suitable access users when working, so as to improve the efficiency of cooperative communication. Aiming at the topology with poor performance, the original access strategy is improved to make the system have the best bit error rate (BER) performance. The simulation results show that the proposed access strategy can effectively reduce the bit error rate (BER) and improve the channel efficiency. In addition, in order to solve the problem of mobile user signal source location in access strategy, this paper analyzes the problem of direct location accuracy estimation combined with the maximum likelihood estimation rule, and deduces the Cram 茅 r 鈮，
本文编号：2507964
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