Analysis, Simulation an‎d implementation of interference alignment channel for increasing sum-rate with Massive MIMO

1/1/1900 12:00:00 AM

Interference is one of the serious bottlenecks of MIMO wireless telecommunication systems. Among the existing methods to eliminate interference, including considering the interference as noise an‎d orthogonalization, the interference alignment (IA) method has better quality than the previous methods. The aim of the interference alignment method is to achieve complete alignment an‎d to limit the interference as much as possible by using pre-coders an‎d encoders an‎d to provide the desired signal with the remaining dimensions. In the following, because the interference smoothing for the number of users required the accurate estimation of the CSI channel coefficients matrix an‎d the adjustment of the coder matrix an‎d complex code vectors with high dimensions, many works were done to improve it in mass mimo conditions, which blind interference smoothing an‎d the use of Reconfigurable antennas are among the efforts that were made to meet the need for CSI an‎d system design with less complexity. But despite these efforts, IA remained complex an‎d unimplementable in practical environments. In this thesis, firstly, the reviewed IA method of the self-encoder (AE) method is proposed for its optimization. In the proposed model, self-encoder encoders an‎d decoders are pre-trained using the previous MAX-SINR method so that there is no need to estimate the channel matrix, an‎d for a high number of users, the researcherʹs interference an‎d numerical results such as BER, MSE, degree of freedom an‎d rate The total should be improved.

مايمو , همسونهي تداخل , انكدر , ديكدر , پيش آموزش

MIMO , Interference Alignment , Encoder , Decoder , Pretraining

Mohsen Esteki

Abolfazl Falahati