RUS  ENG
Full version
JOURNALS // Diskretnyi Analiz i Issledovanie Operatsii // Archive

Diskretn. Anal. Issled. Oper., 2025 Volume 32, Issue 1, Pages 145–163 (Mi da1375)

A decomposition approach to a stadium antenna deployment problem

A. D. Yuskov

Novosibirsk State University, 2 Pirogov Street, 630090 Novosibirsk, Russia

Abstract: We consider a stadium antenna deployment problem. The stadium is divided into sectors. Several antennas are assigned to each sector. Users should receive a signal of a certain quality from antennas assigned to their sector. The problem is to choose locations of antennas, their types, angles, and assignments to sectors to maximize three quality criteria: the mean signal to interference ratio (SIR), the number of clients with good signal quality, and the assignment consistency. We use a simulation to compute the signal quality. We present a three-stage heuristic approach to the problem. It uses a constructive heuristic, a local improvement procedure, and a decomposition-based MIP heuristic. We carry out numerical experiments on test instances with 94 antennas of 7 types, 19 sectors, and 4426 clients. It is possible to improve the provided baseline solutions in 2 h and obtain solutions comparable to running a metaheuristic package for 24 h. Tab. 2, illustr. 3, bibliogr. 17.

Keywords: black box optimization, metaheuristics, wireless network, signal quality, SINR.

UDC: 519.8

Received: 19.07.2024
Revised: 17.08.2024
Accepted: 22.09.2024

DOI: 10.33048/daio.2025.32.809


 English version:
Journal of Applied and Industrial Mathematics, 2025, 19:1, 169–180


© Steklov Math. Inst. of RAS, 2026