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Pilot-Based Phase Noise Tracking for Uplink DFT-s-OFDM in 5G

This paper proposes a comparison between several phase noise tracking algorithms for 5G. Assuming an uplink DFT-s-OFDM scenario, they are based on the insertion of dedicated time-domain pilots. We consider two low-complexity algorithms based on a rough but fast processing: an average phase error estimation and a linear interpolation between pilot observations. They compete with two high-complexity algorithms based on a more accurate tracking of the phase noise: a projection in a discrete-eosine-transform basis and a Kalman filter. Through simulation results, we show that the high-complexity algorithms can be outperformed by the low-complexity algorithms depending on the pilot configuration.