Compressed sensing aided estimation of channel in downlink TDD large scale MIMO system

Abstract

In 5G cellular networks Massive MIMO system offers many advantages including high performance due to simple transmit and receive operations. Essential feature for such system is the proper evaluation of channel state information at the transmitter (CSIT) which is not easy due to larger dimensional channels. Using standard techniques LS and proposed CS schemes simultaneously results in reduction of pilot overhead. This paper explains an estimation of channel in TDD domain with both least squares, CS techniques lessens the pilot overhead through NMSE against training sequence, Normalized beam forming gain against Tp at a specific SNR value, NMSE for different Fading block index with Tp as 60 under scattering evolution with ULA, UPA environment.