Dynamic base stations selection method for passive location
Dec 12, 2022 · For the problem of passive location in mobile cellular network, base stations (BSs) selection can improve positioning accuracy. Through the analysis of base station layout in
Dec 12, 2022 · For the problem of passive location in mobile cellular network, base stations (BSs) selection can improve positioning accuracy. Through the analysis of base station layout in
Jul 26, 2022 · Based on the principle of priority business volume and the cost performance of base station, this paper establishes a set of models to solve the site selection planning
May 31, 2024 · The main challenge is deploying an ultra-high density of base stations (BSs) for satisfactory communication coverage. [6] focuses on implementing 5G base stations for
Sep 1, 2025 · We select suitable candidate locations for building base stations on the ground and rooftop, and set restrictions on the height of base station towers. The use of existing base
Dec 12, 2022 · For the problem of passive location in mobile cellular network, base stations (BSs) selection can improve positioning accuracy. Through
May 22, 2023 · We propose an optimal selection method for 5G base station data to achieve high-accuracy positioning estimation in indoor and outdoor environments. The proposed method is
Jul 30, 2022 · Site selection is an important part of communication network planning. Establish a network of communication base station in a certain position often depends on the environment
Aug 5, 2022 · Therefore, the problem of site selection and planning of base stations in cities begins to become more prominent. Based on the principle of priority business volume and the
Jun 9, 2024 · Abstract: Base station location selection and network optimization are critical to improving the performance of wireless communication networks in terms of latency reduction.
Jul 26, 2022 · Based on the principle of priority business volume and the cost performance of base station, this paper establishes a set of models to
Dec 1, 2020 · Due to the high propagation loss and blockage-sensitive characteristics of millimeter waves (mmWaves), constructing fifth-generation (5G) cellular networks involves deploying
May 31, 2024 · Deploying 5G networks in urban areas is crucial for meeting the increasing demand for high-speed, low-latency wireless communications. However, the complex
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A Fuzzy Candidate Point Selection method was also developed to determine the optimal location of the flying base station. Parvaresh et al. proposed an algorithm based on Actor-Critic Deep Q-Learning for deployment of UAV base stations in 3-D space, aiming to maximize the throughput of the network, i.e., the total user data rate.
As critical nodes in wireless network connectivity, base stations, if not deployed with foresight and scientific planning, may not only lead to resource wastage, but also cause signal interference, directly affecting network coverage, signal quality, and user experience, thereby increasing the complexity of network management and operational costs.
Moreover, we propose a dynamically adjusted quantum genetic algorithm (DAQGA) to optimize base station layout, with coverage and construction cost as objective functions. A signal reception strength metric is introduced to evaluate the effectiveness of the optimal layout.
Previous research has extensively explored strategies for base station deployment using intelligent optimization algorithms. These studies employed advanced algorithms such as the sparrow algorithm, artificial immune system algorithm, and genetic algorithm, aiming to find optimal base station layouts in complex network environments.