Channel Estimation In Massive MIMO Network

Abstract

This thesis discusses channel estimation process in wireless communications systems; our main concerns are on channel estimation techniques based on the superimposed pilots, because these techniques increase the spectral efficiency of the communication systems compared to traditional techniques that are usually based on pilot signals transmission. Our main contribution in this thesis are as follows: firstly, we introduce a joint channel estimation algorithm for single-input-single-output (SISO) time domain synchronous-orthogonal frequency division multiplexing (TDS-OFDM) system based on superimposed pilots transmission. Secondly, we introduce a new channel estimation algorithm based on superimposed pilots for the spatial multiplexing multiple-inputs-multiple-outputs (MIMO) OFDM systems. Finally, we propose a channel estimation algorithm for multiuser massive MIMO system based on superimposed pilots then we modify it for sparse channel estimation with the aid of compressive sensing techniques, particularly the orthogonal matching pursuit algorithm. The thesis is divided into six chapters as listed below: