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arXiv · 2106.05380

Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems

Tri Nhu Do·Georges Kaddoum·Thanh Luan Nguyen·Daniel Benevides da Costa·Zygmunt J. Haas
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Abstract

In this paper, we propose and investigate an aerial reconfigurable intelligent surface (aerial-RIS)-aided wireless communication system. Specifically, considering practical composite fading channels, we characterize the air-to-ground (A2G) links by Namkagami-m small-scale fading and inverse-Gamma large-scale shadowing. To investigate the delay-limited performance of the proposed system, we derive a tight approximate closed-form expression for the end-to-end outage probability (OP). Next, considering a mobile environment, where performance analysis is intractable, we rely on machine learning-based performance prediction to evaluate the performance of the mobile aerial-RIS-aided system. Specifically, taking into account the three-dimensional (3D) spatial movement of the aerial-RIS, we build a deep neural network (DNN) to accurately predict the OP. We show that: (i) fading and shadowing conditions have strong impact on the OP, (ii) as the number of reflecting elements increases, aerial-RIS achieves higher energy efficiency (EE), and (iii) the aerial-RIS-aided system outperforms conventional relaying systems.

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Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel Benevides da Costa, Zygmunt J. Haas. 2021-06-09. Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems. https://arxiv.org/abs/2106.05380

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