Rajashekar, R and Di Renzo, M and Hari, KVS and Hanzo, L (2018) A beamforming-aided full-diversity scheme for low-altitude air-to-ground communication systems operating with limited feedback. In: IEEE Transactions on Communications, 66 (12). pp. 6602-6613.
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Abstract
Unmanned aerial vehicles (UAVs) have gained a significant popularity in the recent past owing to their easy deployability and wide range of applications. In most of the short- and medium-range applications, Wi-Fi is used as the access technology for establishing communication between the ground stations and the UAVs. Although Wi-Fi is known to perform well in most of the scenarios, it is important to note that Wi-Fi has been mainly designed for indoor communication in rich scattering environments, whereas the air-to-ground (A2G) channel is characterized by sparse scattering. Considering this important difference in the channel characteristics, we revisit some of the Wi-Fi features and propose efficient design alternatives. First, we provide a statistical model for the sparse A2G channel and design an optimal time-domain quantizer (TDQ) for its feedback. In contrast to the frequency-domain quantizer (FDQ) of the IEEE 802.11n/ac Standard, the proposed TDQ exploits the time-domain sparsity in the channel and requires about 15 times lesser quantization bits than FDQ. Second, we propose a beamforming (BF) scheme with the aid of full-diversity rotation (FDR) matrices and analytically evaluate its symbol error probability in order to quantify the attainable diversity order. Our numerical simulations demonstrate that the proposed FDR-BF scheme outperforms the relevant benchmark schemes in both coded as well as uncoded scenarios. Specifically, the proposed FDR-BF scheme was observed to attain a signal-to-noise ratio gain as high as 6dB compared with the popular geometric mean decomposition-based BF scheme, when operating at an elevation angle of 7.5°.
Item Type: | Journal Article |
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Publication: | IEEE Transactions on Communications |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to the Author. |
Keywords: | Array processing; Beam forming networks; Beamforming; Computational fluid dynamics; Drones; Frequency domain analysis; IEEE Standards; Probability; Quantization (signal); Radio communication; Signal to noise ratio; Wireless local area networks (WLAN); Wireless telecommunication systems, 802.11; Array signal processing; Channel model; Delays; Low altitudes; Time domain; Wireless communications; Wireless fidelities, Time domain analysis |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 23 Aug 2022 10:03 |
Last Modified: | 23 Aug 2022 10:03 |
URI: | https://eprints.iisc.ac.in/id/eprint/76201 |
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