Fast Signal Reconstruction Based on Compressed Sensing in NOMA-Aided Cell-Free Massive MIMO

Traditional cellular system deploys base station at the center of each cell, which leads to inter-user/cell interference and limited spectral efficiency. In contrast, the cell-free massive MIMO can effectively mitigate these interference by deploying multiple access points distributed in the coverage that jointly serve all the users. In this paper, we investigate a cell-free massive MIMO system assisted by the non-orthogonal multiple-access (NOMA) and propose a sparse signal reconstruction algorithm based on extended approximate message-passing (EAMP). The simulation results show that the proposed algorithm outperforms the traditional baselines in terms of recovery rate, calculation time and system capacity.