Saeed, Akhtar and Erdem, Mikail and Saleem, Ammar and Gürbüz, Özgür and Akkas, Mustafa Alper (2024) Joint resource allocation for terahertz band drone communications. IEEE Transactions on Vehicular Technology . ISSN 0018-9545 (Print) 1939-9359 (Online) Published Online First https://dx.doi.org/10.1109/TVT.2024.3354067
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Official URL: https://dx.doi.org/10.1109/TVT.2024.3354067
Abstract
This paper proposes a joint resource allocation approach for Terahertz (THz) band (0.75-4.4 THz) drone-to-drone communications, studying spectrum and power allocation together with antenna beamwidth adjustment. Considering various drone (mis)alignment and mobility scenarios under a 3D sectored antenna model, the capacity of the proposed spectrum allocation scheme, MaxActive, is compared to existing Common Flat Band (CFB) and standard (STD) schemes, each with water-filling (WF) and equal power (EP) allocations. Results show that up to 6 orders of magnitude improvements are observed with beamwidth optimization, and MaxActive with EP performs close to CFB and STD schemes with WF in all scenarios, even under realistic beam misalignment fading instances (low and high). For drone-to-drone communications, our results prove that the THz band can provide high capacity, in the order of Tbps, which can be preserved well with beam alignment/adjustment. Evaluating also the complexity of all considered resource allocation techniques, it is concluded that MaxActive with EP allocation stands out as the most feasible scheme in terms of practical implementation with the best performance.
Item Type: | Article |
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Uncontrolled Keywords: | and terahertz communication; Azimuth; Beam misalignment; channel selection; drone-to-drone communication; Drones; fading; Fading channels; resource allocation; Resource management; Solid modeling; Three-dimensional displays; Transmitting antennas |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Electronics Faculty of Engineering and Natural Sciences |
Depositing User: | Özgür Gürbüz |
Date Deposited: | 08 Jun 2024 14:09 |
Last Modified: | 08 Jun 2024 14:09 |
URI: | https://research.sabanciuniv.edu/id/eprint/49061 |
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