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We consider a reconfigurable intelligent surface (RIS)-aided massivemulti-user multiple-input multiple-output (MIMO) communication system withtransceiver hardware impairments (HWIs) and RIS phase noise. Different from theexisting contributions, the phase shifts of the RIS are designed based on thelong-term angle informations. Firstly, an approximate analytical expression ofthe uplink achievable rate is derived. Then, we use genetic algorithm (GA) tomaximize the sum rate and the minimum date rate. Finally, we show that it iscrucial to take HWIs into account when designing the phase shift of RIS.

Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments