University of Oulu

B. Yang, T. Taleb, Y. Shen, X. Jiang and W. Yang, "Performance, Fairness, and Tradeoff in UAV Swarm Underlaid mmWave Cellular Networks With Directional Antennas," in IEEE Transactions on Wireless Communications, vol. 20, no. 4, pp. 2383-2397, April 2021, doi: 10.1109/TWC.2020.3041800

Performance, fairness, and tradeoff in UAV swarm underlaid mmWave cellular networks with directional antennas

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Author: Yang, Bin1,2; Taleb, Tarik2,3,4; Shen, Yulong5;
Organizations: 1School of Computer and Information Engineering, Chuzhou University, 239000 Anhui, China
2Department of Communications and Networking, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland
3Information Technology and Electrical Engineering, Oulu University, 90570 Oulu, Finland
4Department of Computer and Information Security, Sejong University, Seoul, 05006 South Korea
5School of Computer Science and Technology, Xidian University, 710071 Shaanxi, China
6School of Systems Information Science, Future University Hakodate, 116-2 Kamedanakano-cho, Hakodate, Hokkaido, 041- 8655, Japan
7College of Information Science and Engineering, Henan University of Technology, 450001 Henan, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.8 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-06-03


Unmanned aerial vehicle (UAV) swarm connected to millimeter wave (mmWave) cellular networks is emerging as a new promising solution to provide ubiquitous high-speed and long distance wireless communication services for supporting various applications. To satisfy different quality of service (QoS) requirements in future large-scale applications of such networks, this article investigates the rate performance, fairness and their tradeoff in the networks with directional antennas in terms of sum-rate maximization, fairness index maximization, max-min fair rate and proportional fairness. We first consider a more realistic mmWave 3D directional antenna array model for UAVs and base station (BS), where the antenna gain depends on the radiation angle of the antenna array. Based on this antenna array model, we formulate the performance, fairness and their tradeoff as four constrained optimization problems, and propose corresponding iterative algorithm to solve these problems by jointly optimizing elevation angle, azimuth angle and height of antenna array at BS in the downlink transmission scenario. Furthermore, we also explore them in uplink transmission scenario, where the interference issue among links is carefully considered. Finally, according to the sum rate, minimum rate and fairness index under each optimization problem, numerical results are provided to illustrate the impacts of network parameters on the performance, fairness and their tradeoff, and also to reveal new findings under both downlink and uplink transmission scenarios, respectively.

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Series: IEEE transactions on wireless communications
ISSN: 1536-1276
ISSN-E: 1558-2248
ISSN-L: 1536-1276
Volume: 20
Issue: 4
Pages: 2383 - 2397
DOI: 10.1109/TWC.2020.3041800
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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