employee
Voronezh, Russian Federation
employee from 01.01.2021 until now
Voronezh, Voronezh, Russian Federation
Russian Federation
Existing research in the field of mathematical modeling of base station planning, using intelligent optimization algorithms to solve potential schemes for generating base station distributions, is complex and, for the most part, mathematical models for choosing a base station site require simplification. Also, the existing models for choosing the base station site solve the problem in two-dimensional space and do not take into account the influence of terrain and other factors. Having incorporated the concept of membrane computing into the basis of the MET-PSO algorithm, the PMET-PSO algorithm was developed. The PMET-PSO algorithm is a redesign of the METROPOLIS sample in the simulated annealing algorithm, projects the probability of accepting METROPOLIS in accordance with the number of iterations of the particle swarm algorithm and determines whether to obtain an individual optimal position and a global optimal position generated by a new round of iterations in accordance with probability, thereby adding randomness to the particle swarm algorithm. As the number of iterations increases, the randomness of the particle swarm algorithm decreases, and it converges to an optimal solution. PMET-PSO allows parallel computing, which effectively reduces the time complexity of the MET-PSO algorithm.
MET-PSO, membrane systems, genetic algorithm, base station
1. Zhu, S.F. Immune computing-based base station location planning in the TD-SCDMA network / S.F. Zhu, L. Fang, Z.Y. Chai // Journal on Communications. - 2011. -Vol. 32(1). - Pp. 106-93.
2. Tao, Y. Optimization for location of TD-SCDMA base stations based on immune algorithm / Y Tao // Computer Engineering and Applications. - 2011. - Vol. 47(31). - Pp. 206-208.
3. Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm / Z. Liao, J. Peng, B. Xiong, J. Huang // Journal of Cloud Computing. - 2021. - Vol. 10(1). - C. 15. - DOI:https://doi.org/10.1186/s13677-021-00232-y.
4. Immune algorithm-based base station location optimization in the TD-SCDMA network / Y.-J. Zhang, C.-P. Mao, Y.-X. Zu, X.-Y. Sun // Tongxin Xuebao/Journal on Communications. - 2014. - Vol. 05. - Pp. 44-48. - DOI:https://doi.org/10.3969/j.issn.1000-436x.2014.05.006.
5. The Current Condition and Developing Tendency of Mobile Communication Interconnection Technology / W. Zeng, Y. Jin, Z. Zhou, S. Yin // IOP Conference Series: Materials Science and Engineering. - 2018. - Vol. 466(12). - C. 012088. - DOI:https://doi.org/10.1088/1757-899X/466/1/012088.
6. Xie, M. Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm / M. Xie, L. Wang, H. Jafari // Energy Reports. - 2021. - Vol. 7. - Pp. 3225-3237. - DOI:https://doi.org/10.1016/j.egyr.2021.05.051.
7. Application of improved artificial immune network algorithm to optimization / Y. Zhao, Y. Yin, D. Fu [et al.] // 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics. - 2008. - Pp. 1-6. - DOI:https://doi.org/10.1109/ISSCAA.2008.4776253.
8. Mohamadi, H.E. Efficient algorithms for decision making and coverage deployment of connected multi-low-altitude platforms / H.E. Mohamadi, N. Kara, M. Lagha // Expert Systems with Applications. - 2021. - Vol. 184. - C. 115529. - DOI:https://doi.org/10.1016/j.eswa.2021.115529.
9. Kennedy, J. Particle swarm optimization / J. Kennedy, R. Eberhart // Proceedings of ICNN'95 - International Conference on Neural Networks. - 1995. - Pp. 1942-1948. - Vol. 4. - DOI:https://doi.org/10.1109/ICNN.1995.488968.
10. A New Path-Gain/Delay-Spread Propagation Model for Digital Cellular Channels / L.J. Greenstein, V. Erceg, Y.S. Yeh [et al.] // IEEE Transactions on Vehicular Technology. - 1997. - Vol. 46(2). - Pp. 477-485. - DOI:https://doi.org/10.1109/25.580786.
11. 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 materialy 8-y Mezhdunarodnoy nauchno-prakticheskoy konferencii, Kursk, 24-25 oktyabrya 2018 goda. - Kursk: Yugo-Zapadnyy gosudarstvennyy universitet, 2018. - S. 218-220.
12. Novikova, T.P. Matematicheskaya model' optimal'nogo raspredeleniya rabot v setevyh kanonicheskih strukturah / T.P. Novikova, O.V. Avseeva, A.I. Novikov // Fundamental'nye i prikladnye problemy tehniki i tehnologii. - 2013. - № 5(301). - S. 48-52.
13. 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. - Pp. 2275-2281.
14. Tyurikov, E.V. O nekotoryh klassah korrektnyh zadach membrannoy teorii vypuklyh obolochek / E. V. Tyurikov // Izvestiya vysshih uchebnyh zavedeniy. Severo-Kavkazskiy region. Seriya: Estestvennye nauki. - 2020. - № 3(207). - S. 25-29. - DOI:https://doi.org/10.18522/1026-2237-2020-3-25-29.
15. 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. - DOI:https://doi.org/10.12737/14053.
16. Lee, H. A Preliminary Study of Machine-Learning-Based Ranging with LTE Channel Impulse Response in Multipath Environment / H. Lee, J. Seo // 2020 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2020. - 2020. - C. 9277218. - DOI:https://doi.org/10.1109/ICCE-Asia49877.2020.9277218.
17. 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.
18. 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, 15-16 fevralya 2018 goda. - Kursk: Zakrytoe akcionernoe obschestvo "Universitetskaya kniga", 2018. - S. 106-109.
19. 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.
20. 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.
21. Ocenka i obosnovanie neobhodimosti peresmotra metodicheskih dokumentov po izmereniyu elektromagnitnogo izlucheniya ot bazovyh stanciy sotovoy svyazi / N.V. Zayceva, T.S. Ulanova, A.L. Ponomarev [i dr.] // Zdorov'e naseleniya i sreda obitaniya - ZNiSO. - 2020. - № 5(326). - S. 29-35. - DOI:https://doi.org/10.35627/2219-5238/2020-326-5-29-35.
22. Chistogova, V. A. Zavisimost' tochnosti metoda precise point positioning ot plotnosti raspolozheniya bazovyh GNSS-stanciy / V. A. Chistogova // Problemy razrabotki mestorozhdeniy uglevodorodnyh i rudnyh poleznyh iskopaemyh. - 2018. - № 1. - S. 297-299.
23. Starchevskiy, Yu.L. Povyshenie effektivnosti vzaimodeystviya mezhdu mobil'nymi i bazovymi stanciyami v pomeschenii / Yu.L. Starchevskiy, N.V. Masolova, R. Sahno // Aktual'nye problemy social'no-ekonomicheskogo razvitiya obschestva : sbornik trudov po materialam III nauchno-prakticheskoy konferencii filiala FGBOU VO «KGMTU» v g. Feodosiya, Feodosiya, 21 fevralya 2018 goda. - Feodosiya, 2018. - S. 123-129.
24. Tokarev, I.I. Algoritm resheniya optimizacionnoy zadachi vybora bazovyh stanciy dlya sistem podvizhnoy svyazi / I.I. Tokarev, S.A. Oleynikova // Intellektual'nye informacionnye sistemy : sbornik trudov Mezhdunarodnoy nauchno-prakticheskoy konferencii. - Voronezh, 2019. - S. 81-83.
25. Ivanova, I.A. Sposoby razmescheniya bazovyh stanciy sotovoy svyazi v naselennyh punktah / I.A. Ivanova // Investicii, stroitel'stvo, nedvizhimost' kak drayvery social'no-ekonomicheskogo razvitiya territorii i povysheniya kachestva zhizni naseleniya : sbornik materialov IX Mezhdunarodnoy nauchno-prakticheskoy konferencii, Tomsk, 12-15 marta 2019 goda. - Tomsk, 2019. - S. 866-870.
26. 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.
27. Primenenie sinergeticheskogo effekta v razrabotke sistem kontrolya monitoringa / T.P. Novikova, K.V. Zol'nikov, A.Yu. Kulay [i dr.] // Cifrovizaciya agropromyshlennogo kompleksa : sbornik nauchnyh statey, Tambov, 10-12 oktyabrya 2018 goda. - Tambov, 2018. - S. 279-281.
