【摘要】：隨著現(xiàn)代社會的高速發(fā)展,科技發(fā)達,信息流通,人們之間的交流越來越密切,生活也越來越方便,由此也帶來了海量的大數(shù)據(jù),企業(yè)可以持續(xù)地發(fā)展并改進新業(yè)務及其模式。但是,如此大量的數(shù)據(jù)也給現(xiàn)有的通信系統(tǒng)造成了很大的負擔,傳統(tǒng)的無線接入網(wǎng)絡也面臨著這些數(shù)據(jù)帶來的業(yè)務壓力,為了能更好地處理信息,出現(xiàn)了一種基于分布式遠端射頻頭和集中式基帶處理池架構的新型接入網(wǎng)絡,云無線接入網(wǎng)(C-RAN)。它是基于集中化處理、協(xié)作式無線電和實時云計算構架的綠色無線接入網(wǎng)構架�？偰繕耸菫榻鉀Q移動互聯(lián)網(wǎng)快速發(fā)展給運營商所帶來的多方面挑戰(zhàn),追求未來可持續(xù)的業(yè)務和利潤增長。本文建立在C-RAN架構的基礎上,在蜂窩集群中,運用盲信源分離算法,設計一種根據(jù)云蜂窩網(wǎng)絡拓撲結構進行信道選擇的接入策略,使蜂窩系統(tǒng)在工作時可以選擇合適的接入用戶,以此來提高協(xié)作通信的效率。并且針對系統(tǒng)性能較差的拓撲結構,對原有接入策略進行改良,使得系統(tǒng)擁有最佳的誤碼率性能。仿真結果表明,提出的接入策略可以有效降低系統(tǒng)誤碼率、提高信道使用效率。另外,針對接入策略中移動用戶信號源定位的問題,本文結合了最大似然估計法則對直接定位精度估算問題進行了分析,并推導了直接定位在量化前后的克拉美羅界(Cramér Rao bound)。設計仿真實驗驗證了直接定位的各項指標性能,實驗表明,直接定位方式定位精度遠優(yōu)于非直接定位,并且在信噪比足夠好時,能非常接近其克拉美羅界。
[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，

本文編號：2507964