Mitigating the Impact of UAV Fluctuations on Air-to-Ground Wireless Communications in the Presence of Channel Aging
DOI:
https://doi.org/10.14209/jcis.2024.15Keywords:
channel aging, channel prediction, extended Kalman filter, uncrewed aerial vehicle, jitteringAbstract
Recent works have pointed out that uncrewed aerial vehicle (UAV) platform fluctuations due to jittering, wobbling and shaking degrade the performance of air-to-ground wireless systems. Similarly, recent works have shown that the air-to-ground wireless channel suffers from the effect of channel aging due to the high mobility of UAVs. Delays inherent to the network, high Doppler frequencies and hardware impairments accentuate this effect, as well as fluctuations in the UAV platform. Unfortunately, the literature still lacks appropriate channel models that take into account the influence of UAV fluctuations on the channel aging autocorrelation function, which is an essential requirement for channel prediction-based mitigation solutions. Therefore, in this paper, we develop autocorrelation functions that are appropriate for evaluating and mitigating the impact of UAV fluctuations on the performance of the air-to-ground channels. We demonstrate that the UAV fluctuations affect the time autocorrelation function of the channel, and consequently the coherence time, exacerbating the effects of channel aging. Furthermore, this effect is accentuated with an increasing distance between the antennas and the centroid of the UAV, and with increasing the carrier frequency. We propose a channel predictor based on an extended Kalman filter and develop autocorrelation functions to mitigate the impact of channel aging with UAV fluctuations on the spectral efficiency (SE). Then, we observe that considering statistical models of UAV fluctuations in the channel predictor design can improve SE.
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Copyright (c) 2024 Antonio Regilane Lima Paiva, Walter C. Freitas Jr., Yuri C. B. Silva, Roberto P. Antonioli, Gabor Fodor (Author)
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Accepted 2024-09-17
Published 2024-09-26