Studying optimal UAV functioning modes in wireless information transmission networks


DOI: 10.34759/trd-2021-119-15

Аuthors

Agayev F. G.1*, Asadov H. G.2**, Zulfugarli P. R.3***

1. Institute for Space Research of Natural Resources National Aerospace Agency, 1, S.S. Akhundov str., Baku, AZ1106, Azerbaijan
2. Scientific and Research Institute of Aerospace Informatics, 159, Azadlig ave., Baku, AZ1106, Azerbaijan
3. Azerbaijan Technical University, 25, Hussein Javid prosp., Baku, 370073, Azerbaijan

*e-mail: agayev.tekti@mail.ru
**e-mail: asadzade@rambler.ru
***e-mail: Peri.rzayeva30@gmail.com

Abstract

The article deals with studying optimal UAV functioning modes in wireless information transmission networks. It considers two optimization problems of the UAV functioning in in wireless information transmission networks. The purpose of the study consists in (a) parameters determining of optimal transmission mode where the throughout C(t) is of constant value (i.e. the throughput is invariable); and (b) parameters determining of the UAV optimal functioning when the integral throughput value reaches its extreme at the constant value of the integral cost function being newly introduced. For the first task, conditions for the throughput constancy achieving were analyzed, and concrete condition at which fulfillment ensured this constancy was obtained. In the second task, conditions under which the integral throughput value reaches its extreme value is being determined with account for the requirements to the cost function.

It was determined that such extreme in the form of the throughput minimum manifested itself at the following conditions fulfillment: (a) the presence of the cost function in the form of the functional relationship σ = σ(P(t)), where σ is a mean-square deviation of the white noise, and P(t) is the power of the signal being transferred, is conceded; (b) constraint of this integral function is conceded; and © the direct dependence between the above said indices was being ensured.

Keywords:

information transmission, optimization, UAV, data throughput, wireless network

References

  1. Borodin V.V., Petrakov A.M., Shevtsov V.A. Trudy MAI, 2015, no. 81. URL: http://trudymai.ru/eng/published.php?ID=57894

  2. Borodin V.V., Petrakov A.M. Trudy MAI, 2015, no. 80. URL: http://trudymai.ru/eng/published.php?ID=57035
  3. Shevtsov V.A., Borodin V.V., Krylov M.A. Trudy MAI, 2016, no. 85. URL: http://trudymai.ru/eng/published.php?ID=66417
  4. Borodin V.V., Petrakov A.M., Shevtsov V.A. Trudy MAI, 2016, no. 87. URL: http://trudymai.ru/eng/published.php?ID=69735
  5. Borodin V.V., Petrakov A.M., Shevtsov V.A. Trudy MAI, 2018, no. 100. URL: http://trudymai.ru/eng/published.php?ID=93398
  6. Talaev A.V., Borodin V.V. Trudy MAI, 2018, no. 99. URL: http:// http://trudymai.ru/published.php?ID=91644
  7. Leonov A.V., Chaplyshkin V.A. Omskii nauchnyi vestnik, 2015, no. 3 (143), no. 297 — 301.
  8. Gurevich O.S., Kessel’man O.G., Trofimov A.S., Chernyshov V.I. Trudy MAI, 2017, no. 94. URL: http://trudymai.ru/eng/published.php?ID=81143
  9. Slyusar V. Elektronika: NTB, 2010, no. 3 (101), pp. 80 — 87.
  10. Slyusar V. Elektronika: NTB, 2010, no. 5 (103), pp. 56 — 61.
  11. Samartsev N.S., Kolotilov E.D., Koshelev B.V. Trudy MAI, 2017, no. 93. URL: http://trudymai.ru/eng/published.php?ID=80448
  12. Polynkin A.V., Le Kh.T. Izvestiya Tul’skogo gosudarstvennogo universiteta. Tekhnicheskie nauki, 2013, no. 7, pp. 98 — 107.
  13. Mozaffari M., Saad W., Bennis M., Debbah M. Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage, IEEE Communications Letters, 2016, vol. 20, no. 8, pp. 1647 — 1650. DOI: 10.1109/LCOMM.2016.2578312
  14. Qiu C., Wei Z., Feng Z., Zhang P. Joint resource allocation, placement and user association of multiple UAV — mounted base stations with in — band wireless backhaul, IEEE Wireless Communications Letters, 2019, vol. 8, no. 6, pp. 1575 — 1578.
  15. Yin S., Zhao Y., Li L. Resource allocation and base station placement in cellular networks with wireless powered UAVs, IEEE International Conference on Communications (ICC), 2019, vol. 68, no. 1, pp. 1050 — 1055. DOI: 10.1109/ICC.2019.8761872
  16. Zhan P., Yu K., Swindlehurst A.L. Wireless relay communications with unmanned aerial vehicles: performance and optimization, IEEE Transactions on Aerospace and Electronic Systems, 2011, vol. 47, no. 3, pp. 2068 — 2085. DOI: 10.1109/TAES.2011.5937283
  17. Zhao W., Ammar M., Zegura E. A message ferrying approach for data delivery on sparse mobile ad hoe networks, Proc. 5th ACM international symposium on Mobile ad hoc networking and computing, 2004, pp. 187 — 198. URL: https://doi.org/10.1145/989459.989483
  18. Zhan C., Zeng Y., Zhang R. Energy — efficient data collection in UAV enabled wireless sensor network, IEEE Wireless Communication Letters, 2018, vol. 7, no. 3, pp. 328 — 331. DOI: 10.1109/LWC.2017.2776922
  19. Ahmed S., Chowdhury M. Z., Jang Y.M. Energy — efficient UAV — to — user scheduling to maxizmize throughput in wireless networks, IEEE Access, 2020, vol. 8, pp. 21215 — 21225.
  20. El’sgol’ts L.E. Differentsial’nye uravneniya i variatsionnoe ischislenie (Differential equations and calculus of variations), Moscow, Nauka, 1973, 432 p.

  21. Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

Вход