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This study considers a novel full-duplex (FD) massive multiple-inputmultiple-output (mMIMO) system using hybrid beamforming (HBF) architecture,which allows for simultaneous uplink (UL) and downlink (DL) transmission overthe same frequency band. Particularly, our objective is to mitigate the strongself-interference (SI) solely on the design of UL and DL RF beamforming stagesjointly with sub-array selection (SAS) for transmit (Tx) and receive (Rx)sub-arrays at base station (BS). Based on the measured SI channel in ananechoic chamber, we propose a min-SI beamforming scheme with SAS, whichapplies perturbations to the beam directivity to enhance SI suppression in ULand DL beam directions. To solve this challenging nonconvex optimizationproblem, we propose a swarm intelligence-based algorithmic solution to find theoptimal perturbations as well as the Tx and Rx sub-arrays to minimize SIsubject to the directivity degradation constraints for the UL and DL beams. Theresults show that the proposed min-SI BF scheme can achieve SI suppression ashigh as 78 dB in FD mMIMO systems.

Sub-Array Selection in Full-Duplex Massive MIMO for Enhanced Self-Interference Suppression