On the Performance of IRS-Assisted Multi-Layer UAV Communications With Imperfect Phase Compensation

• Published in: IEEE transactions on communications 2021-12, Vol.69 (12), p.8551-8568
• Main Authors: Al-Jarrah, Mohammad, Al-Dweik, A., Alsusa, E., Iraqi, Youssef, Alouini, M.-S.
• Format: Article
• Language: English
• Subjects: Addition theorem; Array signal processing; Bit error rate (BER); Channel estimation; Compensation; Error analysis; flying network; imperfect phase estimation; intelligent reflecting surfaces (IRS); Line of sight; Multilayers; Optimization; outage probability; Phase error; Phase estimation; Power system reliability; Propagation; Reflectors; Rician fading; Signal to noise ratio; sinusoidal addition theorem (SAT); unmanned aerial vehicle (UAV); Unmanned aerial vehicles; Vibration; von Mises density; Wireless communications
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2021.3113008

This work presents the symbol error rate (SER) and outage probability analysis of multi-layer unmanned aerial vehicles (UAVs) wireless communications assisted by intelligent reflecting surfaces (IRS). In such systems, the UAVs may experience high jitter, making the estimation and compensation of the end-to-end phase for each propagation path prone to errors. Consequently, the imperfect phase knowledge at the IRS should be considered. The phase error is modeled using the von Mises distribution and the analysis is performed using the Sinusoidal Addition Theorem (SAT) to provide accurate results when the number of reflectors L\leq 3 , and the Central Limit Theorem (CLT) when L\geq 4 . The achieved results show that accurate phase estimation is critical for IRS based systems, particularly for a small number of reflecting elements. For example, the SER at 10 −3 degrades by about 5 dB when the von Mises concentration parameter \kappa =2 and L=30 , but the degradation for the same \kappa surges to 25 dB when L=2 . The air-to-air (A2A) channel for each propagation path is modeled as a single dominant line-of-sight (LoS) component, and the results are compared to the Rician channel. The obtained results reveal that the considered A2A model can be used to accurately represent the A2A channel with Rician fading.