The Journal of China Universities of Posts and Telecommunications ›› 2023, Vol. 30 ›› Issue (2): 18-25.doi: 10. 19682/j.cnki.1005-8885.2023.0005

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Performance analysis and low complexity receiver design for extra-large scale MIMO systems with residual hardware impairments


  • Received:2022-04-20 Revised:2022-11-07 Online:2023-04-30 Published:2023-04-27
  • Supported by:
    the National Natural Science Foundation of China


The research purpose of this paper is focused on investigating the performance of extra-large scale massive multiple-input multiple-output ( XL-MIMO) systems with residual hardware impairments. The closed-form expression of the achievable rate under the match filter (MF) receiving strategy was derived and the influence of spatial non-stationarity and residual hardware impairments on the system performance was investigated. In order to maximize the signal-to-interference-plus-noise ratio ( SINR ) of the systems in the presence of hardware impairments, a hardware impairments-aware minimum mean squared error (HIA-MMSE) receiver was proposed. Furthermore, the stair Neumann series approximation was used to reduce the computational complexity of the HIA-MMSE receiver, which can avoid matrix inversion. Simulation results demonstrate the tightness of the derived

analytical expressions and the effectiveness of the low complexity HIA-MMSE (LC-HIA-MMSE) receiver.

Key words: extra-large scale massive multiple-input multiple-output (XL-MIMO)| hardware impairments| spatial non-stationarity| linear receiver| stair Neumann series