  Previous studies in the literature for video transmission over wireless
communication systems focused on combating the effects of additive channel
noise and fading channels without taking the impairments in the physical layer
such as phase noise (PHN) into account. Oscillator phase noise impairs the
performance of multi-input multi-output- orthogonal frequency division
multiplexing (MIMO-OFDM) systems in providing high data rates for video
applications and may lead to decoding failure. In this paper, we propose a
light field (LF) video transmission system in wireless channels, and analyze
joint data detection and phase mitigation in MIMO-OFDM systems for LF video
transmission. The signal model and rate-distortion (RD) model for LF video
transmission in the presence of multiple PHNs are discussed. Moreover, we
propose an iterative algorithm based on the extended Kalman filter for joint
data detection and PHN tracking. Numerical results show that the proposed
detector can significantly improve the average bit-error rate (BER) and
peak-to-noise ratio (PSNR) performance for LF video transmission compared to
existing algorithms. Moreover, the BER and PSNR performance of the proposed
system is closer to that of the ideal case of perfect PHN estimation. Finally,
it is demonstrated that the proposed system model and algorithm are well suited
for LF video transmission in wireless channels.
