COMPUTER-AIDED DESIGN OF THE LOCATION OF WIRELESS CELLULAR BASE STATIONS
Abstract and keywords
Abstract (English):
The planning of wireless base stations is a multi-purpose task of optimizing combinations, and the main goals of optimization include cost reduction, increased coverage and quality preservation. The paper pays attention to the consideration of the coverage radius, the quality of signal transmission and two types of signal interference. To implement the tasks set for the location of the base station, the following algorithms were used: PMET-PSO and PPSO-GA, which became the basis for the module for solving problems of designing the location of base stations in the proposed automated design system. Using the C/S architecture and 3D CAD based on ACIS and Google Earth, based on an in-depth analysis of the actual requirements for the base station, a CAD for the location of wireless cellular base stations is proposed. The main technical modules of the system are the technology of rapid modeling involving objects in the planning of base stations, the technology of multi-purpose modeling and solving problems of planning base stations and the technology of distributed joint integration of program modules. The technology for solving planning problems uses the PMET-PSO and PPSO-GA algorithms. Both algorithms compensate for the disadvantages of their original algorithms (MET-PSO and PSO-GA) and retain their respective advantages: time - PMET-PSO, and if the user does not care about time and wants to get the optimal possible solution, then the PPSO-GA algorithm. Both algorithms combine memory computing with good parallelism, which plays a crucial role in solving multi-purpose optimization problems.

Keywords:
PMET-PSO, PPSO-GA, base station, wireless communication, design, station layout
References

1. Chzhan, C. Issledovanie processa vybora mesta dlya raspolozheniya bazovoy stancii mobil'noy svyazi 5G / C. Chzhan, T. P. Novikova, N. V. Panina // Aspekty modelirovaniya sistem i processov : materialy Vserossiyskoy nauchno-prakticheskoy konferencii. - Voronezh, 2022. - S. 480-485. - DOIhttps://doi.org/10.58168/AMSP2022_480-485.

2. Razrabotka modeli optimizacii vybora ploschadki bazovoy stancii na osnove algoritma PMET-PSO / T.P. Novikova, N.V. Panina, E.A. Anikeev, Ch. Czyan'cun // Modelirovanie sistem i processov. - 2022. - T. 15, № 4. - S. 61-69. - DOIhttps://doi.org/10.12737/2219-0767-2022-15-4-61-69.

3. Al-Shareefi, N.A. A novel optimal small cells deployment for next-generation cellular networks / N.A. Al-Shareefi, A.A. Sakran // International Journal of Electrical and Computer Engineering. - 2021. - Vol. 11, no. 6. - Pp. 5259-5265. - DOI:https://doi.org/10.11591/ijece.v11i6.pp5259-5265.

4. Wang, C.-H. A Coverage-based location approach and performance evaluation for the deployment of 5G base stations / C. -H. Wang, C. -J. Lee, X. Wu // IEEE Access. - 2020. - Vol. 8. - Pp. 123320-123333. - DOI:https://doi.org/10.1109/ACCESS.2020.3006733.

5. Haustov, I. A. Primenenie evristicheskih algoritmov v geoinformacionnyh sistemah raspredeleniya bazovyh stanciy svyazi v usloviyah mestnosti s plotnoy zastroykoy / I. A. Haustov, S. S. Rylev, R. A. Romanov // Perspektivnoe razvitie nauki, tehniki i tehnologiy : Sbornik nauchnyh statey 8-y Mezhdunarodnoy nauchno-prakticheskoy konferencii. - Kursk, 2018. - S. 218-220.

6. Bogdanec, E. S. Analiz tochnosti pozicionirovaniya bazovyh stanciy v zavisimosti ot plotnosti ih raspolozheniya / E. S. Bogdanec, V. A. Chistogova // Master's Journal. - 2018. - № 2. - S. 36-42.

7. Cheremuhin, D. A. Proektirovanie bazovoy stancii v zadannom rayone s uchetom suschestvuyuschey elektromagnitnoy obstanovki: chast' 2 / D. A. Cheremuhin // Obschestvo. - 2020. - № 4(19). - S. 28-36.

8. Learning-based small cell base station selection scheme involving location privacy in service migration / P. Liu, S. Xie, Z. Shen [et al.] // Journal of Reliable Intelligent Environments. - 2022. - Vol. 9. - Pp. 433-445. - DOI:https://doi.org/10.1007/s40860-022-00187-0.

9. Tokarev, I. I. Algoritm resheniya optimizacionnoy zadachi vybora bazovyh stanciy dlya sistem podvizhnoy svyazi / I. I. Tokarev, S. A. Oleynikova // Intellektual'nye informacionnye sistemy : Trudy Mezhdunarodnoy nauchno-prakticheskoy konferencii. - Voronezh, 2019. - S. 81-83.

10. Filippov, I. F. Analiz trebovaniy k bazovym i abonentskim stanciyam 5G / I. F. Filippov // SVCh-tehnika i telekommunikacionnye tehnologii. - 2020. - № 1-2. - S. 102-103.

11. Tun, Yu. Razrabotka algoritma povysheniya effektivnosti protokola marshrutizacii s-LEACH / Yu. Tun, T. P. Novikova, S. A. Evdokimova // Modelirovanie sistem i processov. - 2022. - T. 15, № 2. - S. 93-99. - DOIhttps://doi.org/10.12737/2219-0767-2022-15-2-93-99.

12. Belyaeva, T. P. Optimal'noe planirovanie kompleksnyh proektov sozdaniya elektronnoy komponentnoy bazy / T. P. Belyaeva, A. P. Zatvornickiy // Informacionnye sistemy i tehnologii. - 2011. - № 3(65). - S. 5-10.

13. Belyaeva, T.P. Sistema upravleniya formirovaniem i realizaciey proektov dizayn centra mikroelektroniki : special'nost' 05.13.10 «Upravlenie v social'nyh i ekonomicheskih sistemah» : dis. … kand. tehn. nauk : zaschischena 02.11.2012 / Belyaeva Tat'yana Petrovna. - Voronezh, 2012. - 147 s.

14. Mukase, S. Optimal base station location for network lifetime maximization in wireless sensor network / S. Mukase, K. Xia, A. Umar // Electronics. - 2021. - Vol. 10(22). - S. 2760. - DOI:https://doi.org/10.3390/electronics10222760.

15. Pavlov, D.S. Opyt realizacii Gradient Domain Metropolis Light Transport / D.S. Pavlov, V.A. Frolov // Novye informacionnye tehnologii v avtomatizirovannyh sistemah. - 2018. - № 21. - S. 111-119.

16. Zhulyabin, D. Yu. Vozmozhnosti vybora mestopolozheniya bazovoy stancii pri proektirovanii besprovodnyh sistem svyazi / D. Yu. Zhulyabin // Perspektivy razvitiya tehnologiy obrabotki i oborudovaniya v mashinostroenii : Sbornik nauchnyh statey 3-y Vserossiyskoy nauchno-tehnicheskoy konferencii s mezhdunarodnym uchastiem. - Kursk, 2018. - S. 106-109.

17. Novikova, T.P. Production of complex knowledgebased systems: optimal distribution of labor resources management in the globalization context / T. P. Novikova, A. I. Novikov // Globalization and its socio-economic consequences : Proceedings, Rajecke Teplice, Slovak Republic: University of Zilina, 2018. - P. 2275-2281.

18. Novikova, T.P. K voprosu vybora metodov prinyatiya upravlencheskih resheniy v social'no-ekonomicheskih sistemah / T. P. Novikova // Al'ternativnye istochniki energii v transportno-tehnologicheskom komplekse: problemy i perspektivy racional'nogo ispol'zovaniya. - 2015. - T. 2. - № 1(2). - S. 286-289.

19. Signal power optimization technique in optical wireless link: a comparative study with GA and PSO / T.S. Delwar, A. Siddique, P.K. Pradhan [et al.] // Optical and Quantum Electronics. - 2021. - Vol. 53. - S. 483. - DOI:https://doi.org/10.1007/s11082-021-03085-6.

20. Evdokimova, S.A. Segmentation of store customers to increase sales using ABC-XYZ-analysis and clustering methods / S.A. Evdokimova // Journal of Physics: Conference Series. - 2021. - S. 012117. - DOI:https://doi.org/10.1088/1742-6596/2032/1/012117.

21. Novikova, T.P. Razrabotka i issledovanie bazovoy modeli PERT dlya planirovaniya rabot po proektu / T. P. Novikova, S. A. Evdokimova, A. I. Novikov // Modelirovanie sistem i processov. - 2021. - T. 14, № 4. - S. 75-81. - DOIhttps://doi.org/10.12737/2219-0767-2021-14-4-75-81.

22. Belyaeva, T.P. Upravlenie predpriyatiyami mikroelektroniki: sostoyanie i zadachi razvitiya / T. P. Belyaeva, D.I. Stanchev // Informacionnye tehnologii modelirovaniya i upravleniya. - 2011. - № 3(68). - S. 333-340.

23. Novikova, T.P. Management specificity of the labour resources for example design-center projects / T.P. Novikova, A.I. Novikov // Ekonomicko-Manažérske Spektrum. - 2018. - Vol. 12, No. 2. - P. 37-45.

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