Stadium Antennas Deployment Optimization Full article
| Conference |
XXIII International Conference Mathematical Optimization Theory and Operations Research 30 Jun - 6 Jul 2024 , Омск |
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| Source | Mathematical Optimization Theory and Operations Research : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings Compilation, Springer Cham. Switzerland.2024. 464 c. ISBN 978-3-031-62792-7. |
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| Journal |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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| Output data | Year: 2024, Volume: 14766, Pages: 449-461 Pages count : 13 DOI: 10.1007/978-3-031-62792-7_30 | ||||
| Tags | black box optimization, simulation, local search, wireless network, quality of signal | ||||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Sobolev Institute of Mathematics | FWNF-2022-0019 |
Abstract:
The stadium is divided into sectors. Each sector is split into cells. Users in the cells must be provided with a certain quality of signal from antennas assigned to their sector. Our goal is to select antenna types, their location, assignment to sectors, and orientation to optimize the signal distribution, measured by three different metrics under some technical constraints. The quality metrics are signal quality, average signal-to-interference ratio (SIR), and consistency. Each variant of antenna deployment is evaluated by a simulator. Thus, we deal with a constrained black-box optimization problem with three objectives. To tackle the problem, we design a three-stage algorithmic approach. In the first stage, we apply a fast constructive heuristic. Later on, a local improvement procedure is called. Finally, a VNS metaheuristic is used to get high-quality solutions. The approach demonstrates strong performance and ability to improve signal quality by 7% and SINR by at least 14% without worsening the given consistency threshold for test instances with up to 7 antenna types, 19 sectors, and 4426 cells.
Cite:
Yuskov A.
, Kulachenko I.
, Melnikov A.
, Kochetov Y.
Stadium Antennas Deployment Optimization
In compilation Mathematical Optimization Theory and Operations Research : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings. – Springer Cham., 2024. – C.449-461. – ISBN 978-3-031-62792-7. DOI: 10.1007/978-3-031-62792-7_30 Scopus OpenAlex
Stadium Antennas Deployment Optimization
In compilation Mathematical Optimization Theory and Operations Research : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings. – Springer Cham., 2024. – C.449-461. – ISBN 978-3-031-62792-7. DOI: 10.1007/978-3-031-62792-7_30 Scopus OpenAlex
Dates:
| Submitted: | Mar 1, 2024 |
| Published print: | Jun 18, 2024 |
| Published online: | Jun 18, 2024 |
Identifiers:
| Scopus: | 2-s2.0-85198405288 |
| OpenAlex: | W4399742926 |
Citing:
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