Design For A Access Scheme In C-RAN

With the rapid development of modern society and the advanced of technology,the communication between people is becoming more and more frequent,life is also becoming more and more convenient,but it also brings huge amounts of data.Big data is assisting enterprises to continuously develop new business and inno vative business model.However,such a large amount of data causes great burden to existing communication system,The traditional wireless access network is faced with the business pressure from these data.In order to deal with information better,it occurs an access network based on distributed remote radio-head and centralized baseband pool called cloud random access network(C-RAN).This green wireless access network architecture is based on centralized processing,collaborative radio and real-time computing.Its goal is to solve the challenges that the rapid development brings to operators,and pursuit a sustainable business and profit growth in the future.This thesis,based on the C-RAN architecture and cellular cluster using blind source separation algorithm,designs an access strategy according to the cloud cellular network topology structure.The strategy makes the system to choose appropriate access users at work.In order to improve the efficiency of collaborative communication,it improves the original strategy according to the poor topology of the system.The new strategy can make the system performance better.The simulation result shows that the proposed access strategy can effectively reduce the system error rate and increase the efficiency of the channel.In addition,aiming at the problem of the mobile source positioning strategy,this thesis analyzes direct positioning accuracy of the estimation problem bases on MLE.It also deduces the CRB(Cramer Rao bound)of direct positioning before and after the quantification.It designs simulation experiments and shows that the positioning accuracy of direct positioning is far better than indirect.When SNR is appropriate,it can be very close to the CRB.