Cooperative Communication For Multiple-User Based On Evidence Theory

Regard to its remarkable improvements in spectrum utilization, multi-user cooperative communication technology has become a milestone over the development history of mobile wireless communication technologies. Collaboration among multiple transfer points is the use of cooperative multi-point transmission (Coordinated Multi-point Transmission, CoMP). With collaboration between the base-station, the joint transmission of user data, using beamforming scheduling and coordination methods, the interference between neighboring cells can be effectively reduced or eliminated, that can effectively improve cell edge throughput and edge coverage of the cell. In practical applications, multi-user cooperative communication technology is usually divided into two categories:Joint Processing/Transmission (JP/JT) technology and Coordinate Scheduling/Beamforming (CS/CBF) Technology. To eliminate inter-cell interference, CoMP technology sharing the channel state data, and scheduling information and other necessary data such that the interference signal into the active signal, so that the user received signal SINR increased and eliminating edge users in the same frequency interference, that will improve the cell edge users spectral efficiency and spectrum efficiency.CoMP system data merge algorithm is based on the classic pre-coding algorithm. It is divided into linear and nonlinear precoding algorithm pre-coding algorithm:linear pre-coding algorithm, including zero forcing (ZF) method, the minimum mean square error method (MMSE), the block diagonal matrix (BD) method and singular value decomposition (SVD) method; linear pre-coding algorithms are dirty paper coding method (DPC), THP algorithm, costa algorithms. These algorithms are based on the traditional Bayesian theory. But Bayesian theory for uncertain knowledge does not constitute detailed description, which to some extent limit its application. Without evidence of prior information fusion theory to adapt the situation in the measurement, representation and integration of uncertainty has good ability. Evidence Theory (Dempster-Shafer Theory, DST) is based on Bayesian theory evolved, it is consistent with human reasoning and decision-making process. Since the uncertain information fusion has a good performance, evidence theory in artificial intelligence and computer vision received wide attention. This article presents an approach based on evidence theory CoMP merging algorithm, built in virtual MIMO uplink channel to improve the cell edge user throughput.With development of communications technology, in order to meet the fourth-generation communications technology technology needs of the International Telecommunication Union (ITU),3rd Generation Partnership Project (3GPP) organization sets LTE-Advanced which is evolution of LTE research goals. CoMP is a key technology in LTE system and this article will conduct algorithm in the LTE simulation system, the simulation results further will validate the transmission performance of multi-user cooperative communications algorithm based in evidence theory.