Optimal base stations location and configuration for cellular mobile networks

Selim, Shokri Z.; Almoghathawi, Yasser; Aldajani, M.A.

doi:10.1007/s11276-014-0759-1

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…An integer programming mathematical model with the goal of minimizing network costs was proposed by Selim et al [14] in 2015 to study the location and the configuration of base stations in cellular mobile networks. The IP model was solved using the commercial software LINGO12.…”

Section: Related Workmentioning

confidence: 99%

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

et al. 2022

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For the problem of 5G network planning, a certain number of locations should be selected to build new base stations in order to solve the weak coverage problems of the existing network. Considering the construction cost and some other factors, it is impossible to cover all the weak coverage areas so it is necessary to consider the business volume and give priority to build new stations in the weak coverage areas with high business volume. Aimed at these problems, the clustering of weak point data was carried out by using k-means clustering algorithm. With the objective function as the minimization of the total construction cost of the new base stations, as well as the constraints as the minimal distance between adjacent base stations and the minimal coverage of the communication traffic, the single-objective nonlinear programming models were established to obtain the layout of macro and micro base stations in order to illustrate the impact of the shape of the station coverage area, the circular and the “shamrock” shaped coverage areas were compared in this paper. For the “shamrock” base station, a secondary clustering was undertaken to judge the main directions of the three sector coverage areas. Then, an improved model taking the coverage overlapping into consideration was proposed to correct the coverage area of different sectors. Finally, the optimal layout was obtained by adjusting the distribution of all base stations globally. The results show that the optimal planning method proposed in this paper has good practicability, which also provides a very good reference for solving similar allocation problems of dynamic resources.

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Section: Related Workmentioning

confidence: 99%

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

et al. 2022

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“…The integrated model was also considered by Pasandideh and St‐Hilaire who propose local search and tabu search heuristics that provide high quality solutions. Most recently, Selim et al presented a cost minimization model to find the optimal base station locations while including constraints on the area of coverage, capacity, and quality of service.…”

Section: Introductionmentioning

confidence: 99%

Column generation for stochastic green telecommunication network planning with switchable base stations

Villumsen

Naoum-Sawaya²

2016

Naval Research Logistics

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We present the green telecommunication network planning problem with switchable base stations, where the location and configuration of the base stations are optimized, while taking into account uncertainty and variability of demand. The problem is formulated as a two‐stage stochastic program under demand uncertainty with integers in both stages. Since solving the presented problem is computationally challenging, we develop the corresponding Dantzig‐Wolfe reformulation and propose a solution approach based on column generation. Comprehensive computational results are provided for instances of varying characteristics. The results show that the joint location and dynamic switching of base stations leads to significant savings in terms of energy cost. Up to 30% reduction in power consumption cost is achieved while still serving all users. In certain cases, allowing dynamic configurations leads to more installed base stations and higher user coverage, while having lower total energy consumption. The Dantzig‐Wolfe reformulation provides solutions with a tight LP‐gap eliminating the need for a full branch‐and‐price scheme. Furthermore, the proposed column generation solution approach is computationally efficient and outperforms CPLEX on the majority of the tested instances. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 351–366, 2016

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Optimal location of base stations for cellular mobile network considering changes in users locations

Almoghathawi,

Bin Obaid,

Selim

2024

Journal of Engineering Research

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Optimal base stations location and configuration for cellular mobile networks

Cited by 6 publications

References 21 publications

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

Column generation for stochastic green telecommunication network planning with switchable base stations

Optimal location of base stations for cellular mobile network considering changes in users locations

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