UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks-Reference-Cited by-同舟云学术

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UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks

Published:2022 Issue: Volume: Page:133-144
ISSN:2523-3734
Container-title:Intelligent Unmanned Air Vehicles Communications for Public Safety Networks
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Author:

Shehzad Muhammad K.,Hassan Syed Ali,Luque-Nieto Miguel Angel,Otero Pablo

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1292-4_6

Reference28 articles.

1. Fitzpatrick A (2018) The drone age, May 2018. https://time.com/longform/time-the-drone-age

2. Cheema MA, Shehzad MK, Qureshi HK, Hassan SA, Jung H (2021) A drone-aided blockchain-based smart vehicular network. IEEE Trans Intell Transp Syst 22(7):4160–4170

3. Shakoor S, Kaleem Z, Baig MI, Chughtai O, Duong TQ, Nguyen LD (2019) Role of UAVs in public safety communications: energy efficiency perspective. IEEE Access 7:140 665–140 679

4. Naqvi SAR, Hassan SA, Pervaiz H, Ni Q (2018) Drone-aided communication as a key enabler for 5G and resilient public safety networks. IEEE Commun Mag 56(1):36–42

5. Kaleem Z, Yousaf M, Qamar A, Ahmad A, Duong TQ, Choi W, Jamalipour A (2019) UAV-empowered disaster-resilient edge architecture for delay-sensitive communication. IEEE Netw 33(6):124–132

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1. Utilizing Deep Reinforcement Learning for Optimal UAV 3D Placement in NOMA-UAV Networks;2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC);2024-05-12

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