Low Complexity Clipping Distortion Compensation for PAPR Reduction in Massive MIMO-OFDM for Frequency Selective Channels

Massive multiple input, multiple output (MIMO) systems are crucial for enhancing spectral efficiency and link reliability in next-generation wireless communications. However, high Peak-to-Average Power Ratio (PAPR) remains a significant challenge, leading to power inefficiencies and signal distortion. This paper presents a low complexity method for PAPR reduction using hard clipping tailored for frequency selective massive MIMO systems. The proposed technique involves distortion filtering in frequency and spatial domain, naturally restoring signal quality at the user end while reducing the peaks at the same time. The computational complexity of the proposed technique has been analyzed and compared with the state-of-the-art techniques. Performance analysis in the presence of a nonlinear PA shows an improvement over zero forcing in uncorrelated and correlated channels along with peak reduction, allowing efficient PA operation as well as reduced digital pre-distortion requirements for PAs in Massive MIMO systems.