Exploiting large scale BSS technique for source recovery in massive MIMO systems

This paper considers (Blind Source Separation) BSS-based unobserved signal recovery mechanism in large-scale multiple-input multiple-output (MIMO) communication systems, also referred to as “massive MIMO”. On account of the larger number of the observations in massive MIMO system, the separation task will be time-consuming or even failing because the conventional blind separation methods are only suited to small scale system. Therefore, we propose a fast large scale blind separation algorithm to overcome these limitations. Theoretical analysis and simulation results demonstrate that the effective performance of the massive MIMO assisted by the proposed large-scale BSS technique can be acquired.