Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
156 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications (2403.12059v1)

Published 19 Jan 2024 in cs.NI and eess.SP

Abstract: The rapid expansion of connected and autonomous vehicles (CAVs) and the shift towards millimiter-wave (mmWave) frequencies offer unprecedented opportunities to enhance road safety and traffic efficiency. Sidelink communication, enabling direct Vehicle-to-Vehicle (V2V) communications, play a pivotal role in this transformation. As communication technologies transit to higher frequencies, the associated increase in bandwidth comes at the cost of a severe path and penetration loss. In response to these challenges, we investigate a network configuration that deploys beamforming-capable Unmanned Aerial Vehicles (UAVs) as relay nodes. In this work, we present a comprehensive analytical framework with a groundbreaking performance metric, i.e. average access probability, that quantifies user satisfaction, considering factors across different protocol stack layers. Additionally, we introduce two Radio Resources Assignment (RRA) methods tailored for UAVs. These methods consider parameters such as resource availability, vehicle distribution, and latency requirements. Through our analytical approach, we optimize the average access probability by controlling UAV altitude based on traffic density. Our numerical findings validate the proposed model and strategy, which ensures that Quality of Service (QoS) standards are met in the domain of Vehicle-to-Anything (V2X) sidelink communications.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (23)
  1. A. Bazzi, A. O. Berthet, C. Campolo, B. M. Masini, A. Molinaro, and A. Zanella, “On the design of sidelink for cellular v2x: A literature review and outlook for future,” IEEE Access, vol. 9, pp. 97 953–97 980, 2021.
  2. I. Kilanioti, G. Rizzo, B. M. Masini, A. Bazzi, D. P. M. Osorio, F. Linsalata, M. Magarini, D. Löschenbrand, T. Zemen, and A. Kliks, “Intelligent transportation systems in the context of 5g-beyond and 6g networks,” in 2022 IEEE Conference on Standards for Communications and Networking (CSCN), 2022, pp. 82–88.
  3. D. Mishra, A. Trotta, M. Di Felice, and E. Natalizio, “Performance analysis of multi-hop communication based on 5g sidelink for cooperative uav swarms,” in 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021, pp. 395–400.
  4. 5GAA Automotive Association, “C-v2x use cases volume iii: Examples and service level requirements,” 5GAA c/o MCI Munich, Neumarkter Str. 21, 81673 München, Germany, Tech. Rep., January 2023, copyright © 2023 5GAA. All Rights Reserved. Version 1. Approved by 5GAA Board on December 19, 2022. [Online]. Available: https://www.5gaa.org
  5. J. Li, Y. Niu, H. Wu, B. Ai, R. He, N. Wang, and S. Chen, “Joint optimization of relay selection and transmission scheduling for uav-aided mmwave vehicular networks,” IEEE Transactions on Vehicular Technology, vol. 72, no. 5, pp. 6322–6334, 2023.
  6. F. Linsalata, S. Mura, M. Mizmizi, M. Magarini, P. Wang, M. N. Khormuji, A. Perotti, and U. Spagnolini, “Los-map construction for proactive relay of opportunity selection in 6g v2x systems,” IEEE Transactions on Vehicular Technology, vol. 72, no. 3, pp. 3864–3878, 2023.
  7. D. Tian, J. Zhou, Z. Sheng, M. Chen, Q. Ni, and V. C. M. Leung, “Self-organized relay selection for cooperative transmission in vehicular ad-hoc networks,” IEEE Transactions on Vehicular Technology, vol. 66, no. 10, pp. 9534–9549, 2017.
  8. P. Wang, J. Fang, X. Yuan, Z. Chen, and H. Li, “Intelligent reflecting surface-assisted millimeter wave communications: Joint active and passive precoding design,” IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 14 960–14 973, 2020.
  9. P. Pourbaba, K. B. S. Manosha, S. Ali, and N. Rajatheva, “Full-duplex uav relay positioning for vehicular communications with underlay v2v links,” in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019, pp. 1–6.
  10. F. D. S. Moulin, C. Wiame, C. Oestges, and L. Vandendorpe, “Stochastic geometry-based modelling of mobile uav relay networks under realistic fading,” in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1–7.
  11. T. A. Kiet, N. T. L. Quyen, H. P. Hieu, and V. T. Hung, “A novel approach for uav-aided vehicle-to-everything networks,” in 2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM), 2022, pp. 1–4.
  12. Y. Kawamoto, T. Mitsuhashi, and N. Kato, “Uav-aided information diffusion for vehicle-to-vehicle (v2v) in disaster scenarios,” IEEE Transactions on Emerging Topics in Computing, vol. 10, no. 4, pp. 1909–1917, 2022.
  13. I. Rzig, W. Jaafar, M. Jebalia, and S. Tabbane, “Uav-assisted computation offloading in vehicular networks,” in 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC), 2023, pp. 236–241.
  14. H. Wu, F. Lyu, C. Zhou, J. Chen, L. Wang, and X. Shen, “Optimal uav caching and trajectory in aerial-assisted vehicular networks: A learning-based approach,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 12, pp. 2783–2797, 2020.
  15. M. Khabbaz, J. Antoun, and C. Assi, “Modeling and performance analysis of uav-assisted vehicular networks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 8384–8396, 2019.
  16. F. Conserva and R. Verdone, “Analytical description of access probability and rra strategy for uav-aided vehicular applications,” in Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, ser. DroNet ’23.   New York, NY, USA: Association for Computing Machinery, 2023, p. 21–26. [Online]. Available: https://doi.org/10.1145/3597060.3597241
  17. 3GPP, “Nr; nr and ng-ran overall description; stage 2 (release 17),” 3rd Generation Partnership Project (3GPP), Technical Specification (TS) 38.300, 04 2022, version 17.4.0.
  18. F. Morandi, F. Linsalata, M. Brambilla, M. Mizmizi, M. Magarini, and U. Spagnolini, “A probabilistic codebook technique for fast initial access in 6g vehicle-to-vehicle communications,” in 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021, pp. 1–6.
  19. D. Yang, L.-L. Yang, and L. Hanzo, “Dft-based beamforming weight-vector codebook design for spatially correlated channels in the unitary precoding aided multiuser downlink,” in 2010 IEEE International Conference on Communications, 2010, pp. 1–5.
  20. H. Shakhatreh, W. Malkawi, A. Sawalmeh, M. Almutiry, and A. Alenezi, “Modeling ground-to-air path loss for millimeter wave uav networks,” 2021.
  21. M. Mizmizi, D. Tagliaferri, D. Badini, C. Mazzucco, and U. Spagnolini, “Channel estimation for 6g v2x hybrid systems using multi-vehicular learning,” IEEE Access, vol. 9, pp. 95 775–95 790, 2021.
  22. K. Dong, M. Mizmizi, D. Tagliaferri, and U. Spagnolini, “Vehicular blockage modelling and performance analysis for mmwave v2v communications,” in ICC 2022 - IEEE International Conference on Communications, 2022, pp. 3604–3609.
  23. S. Mignardi, D. Ferretti, R. Marini, F. Conserva, S. Bartoletti, R. Verdone, and C. Buratti, “Optimizing beam selection and resource allocation in uav-aided vehicular networks,” in 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2022, pp. 184–189.

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now