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Optimization of Wireless Relaying With Flexible UAV-Borne Reflecting Surfaces

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Document pages: 30 pages

Abstract: This paper presents a theoretical framework to analyze the performance ofintegrated unmanned aerial vehicle (UAV)-intelligent reflecting surface (IRS)relaying system in which IRS provides an additional degree of freedom combinedwith the flexible deployment of full-duplex UAV to enhance communicationbetween ground nodes. Our framework considers three different transmissionmodes: { bf (i)} UAV-only mode, { bf (ii)} IRS-only mode, and { bf (iii)}integrated UAV-IRS mode to achieve spectral and energy-efficient relaying. Forthe proposed modes, we provide exact and approximate expressions for theend-to-end outage probability, ergodic capacity, and energy efficiency (EE) inclosed-form.We use the derived expressions to optimize key system parameters such as theUAV altitude and the number of elements on the IRS considering different modes.We formulate the problems in the form of fractional programming (e.g. singleratio, sum of multiple ratios or maximization-minimization of ratios) anddevise optimal algorithms using quadratic transformations. Furthermore, wederive an analytic criterion to optimally select different transmission modesto maximize ergodic capacity and EE for a given number of IRS elements.Numerical results validate the derived expressions with Monte-Carlo simulationsand the proposed optimization algorithms with the solutions obtained throughexhaustive search. Insights are drawn related to the different communicationmodes, optimal number of IRS elements, and optimal UAV height.

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