Optimal Dense Base Station Deployment for Resilient
In order, to mitigate the aforementioned impacts, a novel spatio-temporal risk-based optimization framework for designing disaster-resilient communication networks is introduced.
In order, to mitigate the aforementioned impacts, a novel spatio-temporal risk-based optimization framework for designing disaster-resilient communication networks is introduced.
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates
presents a following method: location selection and network optimization for the wireless communication network. First, it collects the experimental data set of base station locati.
Base stations are automatically determined and distributed over an area to meet the coverage constraint and traffic capacity demands. In [38], a
This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network
For a significant number of dispersed poor coverage locations to be adequately covered by existing base stations, additional base stations are needed. This study
In this paper, the major work is to solve the "blind spot" of 5G existing network BSs. In other words, it aims to solve the signal coverage problem of weak coverage points on the
Researchers are currently exploring the anticipated sixth-generation (6G) wireless communication network, poised to deliver minimal latency, reduced power consumption,
This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network
In order, to mitigate the aforementioned impacts, a novel spatio-temporal risk-based optimization framework for designing disaster-resilient communication networks is introduced.
This paper discusses the site optimization technology of mobile communication network, especially in the aspects of enhancing coverage and optimizing base station layout.
Base stations are automatically determined and distributed over an area to meet the coverage constraint and traffic capacity demands. In [38], a nonlinear programming problem with
Moreover, we propose a dynamically adjusted quantum genetic algorithm (DAQGA) to optimize base station layout, with coverage and construction cost as objective functions. A
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