Interference-aware Distributed Precoding in Coherent Large-scale Distributed MIMO

Large-scale Distributed Multiple-Input Multiple-Output (D-MIMO) is one of the key radio technologies to support ubiquitous radio access by enabling the User Equipment (UE) having simultaneous connectivity to many highly coordinated network transmission points called Access Points (APs). In this work, coherent large-scale D-MIMO has been investigated in an industrial indoor scenario considering the frequency range from 3.5 GHz to 100 GHz assuming synchronized APs. The UE-centric AP selection has been studied to determine the subset of APs jointly serving to the UEs. Thereafter, interference aware distributed precoding is formulated and compared with centralized precoding. The simulation results show that more coordinated APs in clusters increases coherent precoding gain and enhances interference management, eventually provides more gain in spectral efficiency. Moreover, distributed, partially distributed and collocated deployment models have been compared, and trade-off between implementation complexity and deployment complexity has been shown.