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.
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.
This method achieves an optimal balance in base station deployment when coverage and cost weights are set at 0.7 and 0.3, respectively. Compared to four other algorithms, the proposed improved algorithm shows significant advantages in convergence speed and stability. 1. Introduction
Base station deployment optimization method based on dynamic adjustment quantum genetic algorithm
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PDF | On Jan 1, 2020, Shikha Tayal and others published Optimization Models for Selecting Base Station Sites for Cellular Network Planning | …
Genetic algorithm is used to analyze the optimal solution in simulation space and find the optimal method of station construction. The simulation software is used to simulate the …
With the sharp development of mobile communication technology, the coverage area of existing base stations cannot meet the increasing demand of users, so it is significant …
With the large-scale deployment of 5G technology, the rationality of communication base station siting is crucial for network performance, construction costs, and operational …
Abstract: Base station location selection and network optimization are critical to improving the performance of wireless communication networks in terms of latency reduction. …
INDEX TERMS Wireless communication, cellular base station, unmanned aerial vehicle (UAV), optimal location, convex optimization, global optimum, quality-of-service, KKT …
We developed a mixed integer programming model to provide the optimal location of base stations at different time periods with the network''s minimum total cost (i.e., installation …
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 …
PDF | On Jan 1, 2020, Shikha Tayal and others published Optimization Models for Selecting Base Station Sites for Cellular Network Planning | Find, read and cite all the research you need on ...
In this section, two objective functions for base station deployment and constraints on the base station deployment parameters are presented, and some improvements are made …
Optimal Placement of base stations is essential to ensure reliable connectivity and satisfactory signal strength. Research shows that base stations emit electromagnetic field …
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