Abstract
Massive multiple-input multiple-output (MIMO) in combination with orthogonal frequency division multiplexing (OFDM) is being explored as a key technology to boost spectral efficiency in next generation cellular systems. With large number of antennas at the base station (BS), massive MIMO systems are able to serve several users concurrently on the same time-frequency resource. However, the problem of high peak-to-average power ratio (PAPR) in OFDM systems, makes practical implementation of massive MIMO quite challenging, because linearity requirement of a large number of radio frequency (RF) chains and high power amplifiers (HPA), make the overall system either too expensive or power inefficient. In our work, we propose a novel strategy that exploits the excess degrees-of-freedom inherent in massive MIMO systems, to not only reduce transmit signal PAPR, but also to mitigate the impact of non-linear HPA transmit distortions via a low complexity intelligent precoding scheme based on transmit channel state information (CSI). Simulation results over a practical massive MIMO OFDM system with Rapp HPA model confirm the complexity reduction and effectiveness of the proposed strategy in comparison to the existing approaches.
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