nach oben

Telecommunication Systems

18.05.2024

Communication coverage maximization in stadium environments using UAVs

verfasst von: Hamid Jafaripour, Mohammad Fathi, Ali Shariatpanah

Erschienen in: Telecommunication Systems

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Maximizing the communication coverage with the minimum number of unmanned aerial vehicles (UAVs) in a telecommunication system is investigated in this paper. In particular, the problem of maximizing the coverage area in stadium environments using UAVs is modeled mathematically as a multi-objective optimization problem. While the problem is solved using state-of-the-art solvers, to address the problem complexity and achieve the results for real-time applications, we propose a heuristic algorithm. The performance evaluation done in three crowding levels demonstrates that the performance with the heuristic algorithm is comparable to the mathematical model in terms of the number of coverage users. Moreover, the running time is significantly smaller in the proposed heuristic algorithm. This shows the efficiency of the model and solution. Moreover, we compare the heuristic algorithm with the non-dominated sorting genetic algorithm (NSGAII). The results of the paper show that the use of the heuristic algorithm speeds up the processing and decision making, and at the same time maximizes the communication coverage in stadium environments.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

www.gams.org

http://www.gams.com/modlib/adddocs/epscmmip.pdf

Kulkarni, M. N., Kaya, A. Ö., Calin, D., & Andrews, J. G. (2017). Impact of humans on the design and performance of millimeter wave cellular networks in stadiums. IEEE Wireless Communications and Networking Conference WCNC. https://doi.org/10.1109/WCNC.2017.7925748CrossRef

Islam, M. N., Subramanian, S., Partyka, A., & Sampath, A. (2016). Coverage and capacity of 28 GHz band in indoor stadiums. IEEE Wireless Communications and Networking Conference WCNC. https://doi.org/10.1109/WCNC.2016.7564885CrossRef

Zhao, J., Liu, J., Jiang, J., & Gao, F. (2020). Efficient deployment with geometric analysis for mmWave UAV communications. IEEE Wireless Communication Letters, 9(7), 1115–1119. https://doi.org/10.1109/LWC.2020.2982637CrossRef

Li, X., & Xu, X. (2019). UAV comprehensive coverage to users in urban environment. Proceeding International Conference on Software Engineering and Service ICSESS. https://doi.org/10.1109/ICSESS.2018.8663902CrossRef

Cherif, N., Jaafar, W., Yanikomeroglu, H., & Yongacoglu, A. (2020) On the optimal 3D placement of a UAV base station for maximal coverage of UAV users, In: 2020 IEEE Global Communications Conference, pp. 1–6, https://doi.org/10.1109/GLOBECOM42002.2020.9322569.

Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2017). Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of Things communications. IEEE Transactions Wireless Communications, 16(11), 7574–7589. https://doi.org/10.1109/TWC.2017.2751045CrossRef

Wang, J., Jiang, C., Wei, Z., Pan, C., Zhang, H., & Ren, Y. (2019). Joint UAV hovering altitude and power control for space-air-ground iot networks. IEEE Internet of Things Journal, 6(2), 1741–1753. https://doi.org/10.1109/JIOT.2018.2875493CrossRef

Zeng, Y., Zhang, R., & Lim, T. J. (2016). Wireless communications with unmanned aerial vehicles: Opportunities and challenges. IEEE Communications Magazine, 54(5), 36–42. https://doi.org/10.1109/MCOM.2016.7470933CrossRef

Wang, J., Jiang, C., Han, Z., Ren, Y., Maunder, R. G., & Hanzo, L. (2017). Taking drones to the next level: Cooperative distributed unmanned-aerial-vehicular networks for small and mini drones. IEEE Vehicular Technology Magazine, 12(3), 73–82. https://doi.org/10.1109/MVT.2016.2645481CrossRef

10.

Saif, A., Dimyati, K., Noordin, K. A., Deepak, G. C., Shah, N. S. M., Abdullah, Q., & Mohamad, M. (2021). An efficient energy harvesting and optimal clustering technique for sustainable postdisaster emergency communication systems. IEEE Access, 9, 78188–78202. https://doi.org/10.1109/ACCESS.2021.3083640CrossRef

11.

Li, X., Yao, H., Wang, J., Xu, X., Jiang, C., & Hanzo, L. (2019). A near-optimal UAV-aided radio coverage strategy for dense urban areas. IEEE Transactions on Vehicular Technology, 68(9), 9098–9109. https://doi.org/10.1109/TVT.2019.2927425CrossRef

12.

Namvar, N., Homaifar, A., Karimoddini, A., & Maham, B. (2019). Heterogeneous UAV cells: An effective resource allocation scheme for maximum coverage performance. IEEE Access, 7, 164708–164719. https://doi.org/10.1109/ACCESS.2019.2948822CrossRef

13.

Zhang, Y., Wang, D., Wang, J., & You, X. (2016). Channel estimation for massive MIMO-OFDM systems by tracking the joint angle-delay subspace. IEEE Access, 4, 10166–10179. https://doi.org/10.1109/ACCESS.2016.2634025CrossRef

14.

Jiang, R., Xiong, K., Liu, T., Wang, D., & Zhong, Z. (2020). Coverage probability-constrained maximum throughput in UAV-Aided SWIPT networks. In: 2020 IEEE International Conference on Communications Workshops https://doi.org/10.1109/ICCWorkshops49005.2020.9145329.

15.

Huang, H., & Savkin, A. V. (2019). A Method for optimized deployment of unmanned aerial vehicles for maximum coverage and minimum interference in cellular networks. IEEE Transactions on Industrial Informatics, 15(5), 2638–2647. https://doi.org/10.1109/TII.2018.2875041CrossRef

16.

Gao, F., Zhou, Y., Ma, X., Yang, T., Cheng, N., & Lu, N. (2019). Coverage-maximization and Energy-efficient drone small cell deployment in aerial-ground collaborative vehicular networks. In: 2019 IEEE 4th International Conference on Computer and system, pp. 559–564, https://doi.org/10.1109/CCOMS.2019.8821718.

17.

Abbas, N., Abusrewil, R., Najjar, A., & Sharafeddine, S. (2021). Minimum UAV fog servers with maximum IoT devices association using genetic algorithms. In: 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET), pp. 3–5, https://doi.org/10.1109/IMCET53404.2021.9665580

18.

Ye, Z., Wang, K., Chen, Y., Jiang, X., & Song, G. (2023). Multi-UAV navigation for partially observable communication coverage by graph reinforcement learning. IEEE Transactions on Mobile Computing, 22(7), 4056–4069. https://doi.org/10.1109/TMC.2022.3146881CrossRef

19.

Shi, X., & Deng, N. (2022). Modeling and analysis of mmWave UAV Swarm networks: A stochastic geometry approach. IEEE Transactions on Wireless Communications, 21(11), 9447–9459. https://doi.org/10.1109/TWC.2022.3176906CrossRef

20.

Chetlur, V. V., & Dhillon, H. S. (2017). Downlink coverage analysis for a finite 3-D wireless network of unmanned aerial vehicles. IEEE Transactions on Communications, 65(10), 4543–4558. https://doi.org/10.1109/TCOMM.2017.2722500CrossRef

21.

Ruan, L., et al. (2018). Energy-efficient multi-UAV coverage deployment in UAV networks: A game-theoretic framework China. Communications, 15(10), 194–209. https://doi.org/10.1109/CC.2018.8485481CrossRef

22.

Lim, N. H. Z., Lee, Y. L., Tham, M. L., Chang, Y. C., Sim, A. G. H., & Qin, D. (2021). Coverage optimization for UAV base stations using simulated annealing. In: 15th IEEE Malaysia International Conference on Communications, pp. 43–48, https://doi.org/10.1109/MIADM53484.2021.9642136

23.

Saym, M. M., Mahbub, M., Ahmed, F. (2021). Coverage maximization by optimal positioning and transmission planning for UAV-assisted wireless communications. In: 2021 International Conference on Science and Contemporary Technologies, pp. 2–4, https://doi.org/10.1109/ICSCT53883.2021.9642510

24.

Yang, Z., Xu, W., & Shikh-Bahaei, M. (2020). Energy efficient UAV communication with energy harvesting. IEEE Transactions on Vehicular Technology, 69(2), 1913–1927. https://doi.org/10.1109/TVT.2019.2961993CrossRef

25.

Yuan, X., Yang, T., Hu, Y., Xu, J., & Schmeink, A. (2021). Trajectory design for UAV-enabled multiuser wireless power transfer with nonlinear energy harvesting. IEEE Transactions on Wireless Communications, 20(2), 1105–1121. https://doi.org/10.1109/TWC.2020.3030773CrossRef

26.

Wang, H., Wang, J., Ding, G., Wang, L., Tsiftsis, T. A., & Sharma, P. K. (2018). Resource allocation for energy harvesting-powered D2D communication underlaying UAV-assisted networks. IEEE Transactions on Green Communication Networks, 2(1), 14–24. https://doi.org/10.1109/TGCN.2017.2767203CrossRef

27.

Yan, C., Fu, L., Zhang, J., & Wang, J. (2019). A comprehensive survey on UAV communication channel modeling. IEEE Access, 7, 107769–107792. https://doi.org/10.1109/ACCESS.2019.2933173CrossRef

28.

Kalantari, E., Yanikomeroglu, H., & Yongacoglu, A. (2020). Wireless networks with cache-enabled and backhaul-limited aerial base stations. IEEE Transactions on Wireless Communications, 19(11), 7363–7376. https://doi.org/10.1109/TWC.2020.3010845CrossRef

29.

Kalantari, E., Bor-Yaliniz, I., Yongacoglu, A., & Yanikomeroglu, H. (2018). User association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, pp. 1–6, https://doi.org/10.1109/PIMRC.2017.8292783

30.

Gupta, L., Jain, R., & Vaszkun, G. (2016). Survey of important issues in UAV communication networks. IEEE Communications Surveys and Tutorials, 18(2), 1123–1152. https://doi.org/10.1109/COMST.2015.2495297CrossRef

31.

Bekmezci, I., Sahingoz, O. K., & Temel, Ş. (2013). Flying Ad-Hoc networks (FANETs): A survey. Ad Hoc Networks, 11(3), 1254–1270. https://doi.org/10.1016/j.adhoc.2012.12.004CrossRef

32.

Al-Hourani, A., Kandeepan, S., & Jamalipour, A. (2014). Modeling Air-to-ground path loss for low altitude platforms in urban environments. In: 2014 IEEE Global Communications Conference, https://doi.org/10.1109/GLOCOM.2014.7037248

Titel: Communication coverage maximization in stadium environments using UAVs
verfasst von: Hamid Jafaripour
Mohammad Fathi
Ali Shariatpanah
Publikationsdatum: 18.05.2024
Verlag: Springer US
Erschienen in: Telecommunication Systems
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI: https://doi.org/10.1007/s11235-024-01153-2

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"