Abstract:
Massive MIMO is an integral part of cellular communication systems in 5G and beyond. However, with the increase in the number of base station antennas, the need for radio...Show MoreMetadata
Abstract:
Massive MIMO is an integral part of cellular communication systems in 5G and beyond. However, with the increase in the number of base station antennas, the need for radio-frequency chains to support parallel data streams also increases, leading to higher cost and lower energy efficiency. To address this issue, hybrid beam combining techniques have been devised, where constant phase shifters (CPSs) are used at the receiver to combine the signals coherently. Coherent combining requires a large number of CPSs and, as such, even a small amount of hardware impairment can lead to severe degradation in the combining performance. The use of these components needs to be done with practical consideration of non-linearities. In this paper, we consider a behavioral model for characterizing the impairments, and propose a CPS-based hybrid combining algorithm. Comparisons show that the proposed algorithm improves the throughput by utilizing a considerably lower number of CPSs. Considering both amplitude-to-amplitude modulation and amplitude-to-phase modulation distortions, it is shown that the proposed algorithm provides higher throughput than existing techniques. Error performance analysis also reveals that the proposed algorithm is robust to hardware impairments.
Date of Conference: 10-13 April 2022
Date Added to IEEE Xplore: 16 May 2022
ISBN Information: