A General Framework for UAV-aided THz Communications Subject to Generalized Geometric Loss

• Published in: IEEE transactions on vehicular technology Vol. 72; no. 11; pp. 1 - 11
• Main Authors: Badarneh, Osamah S., Bouanani, Faissal El, Almehmadi, Fares
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Autonomous aerial vehicles; Channel capacity; Codes; Detectors; Disorientation; Distribution functions; Exact solutions; Fading; Fading channels; Geometric loss; Mathematical analysis; Misalignment; Orthogonality; Performance measurement; Probability density functions; Receivers; Signal to noise ratio; THz communications; UAVs; Unmanned aerial vehicles; Wireless communication
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2023.3287288

In this article, we develop a general framework for the performance analysis of unmanned aerial vehicle (UAV) aided terahertz (THz) communications under generalized geometric loss, which considers the fluctuations of the UAV's position and orientation alongside the non-orthogonality of the THz beam with respect to the detector plane. In particular, we derive general and novel analytical expressions for the probability density function and the cumulative distribution function of the instantaneous signal-to-noise ratio (SNR) under generalized fading channels subject to generalized geometric loss. Consequently, novel, general, and accurate analytical expressions for the outage probability, average symbol error rate, and average channel capacity are derived. Furthermore, approximate asymptotic expressions in the high SNR regime are also derived. Moreover, A very accurate approximate expression for the channel capacity is also provided in the low SNR regime. As an example, the system performance under the <inline-formula><tex-math notation="LaTeX">\alpha</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">\mu</tex-math></inline-formula> fading channel model is analyzed in terms of the above-mentioned performance metrics.