The objective of this study is to develop a location optimization model to support the planning of ultra-dense 5G BSs in urban outdoor areas and to help address the cost
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The application requirements of 5G have reached a new height, and the location of base stations is an important factor affecting the signal. Based on factors such as base station
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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
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Identifying suitable locations for 5G base stations involves geospatial assessments and meticulous planning, which consume considerable resources and time. Inefficiencies in
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The experimental results show that this method can effectively optimize the location decision of 5G base stations, and can be widely used in the field of 5G base station location decision, so
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Small dots are blurred. Set the coverage area of the base station as a sector. By adjusting the relationship between the calculation coverage radius and the angle, the angle
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Therefore, this proposes a 5G base station planning model based on the idea of the binary mask, combining differential evolution algorithm and Monte Carlo simulation to fully consider the
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The problem of communication coverage is increasingly critical with the advancement of 5G communication technology. The reasonable establishment of new 5G
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In China, the coverage of 5G network is increasing rapidly, and the cost of base station construction is huge. Therefore, reasonable and efficient site planning is an extremely
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The application requirements of 5G have reached a new height, and the location of base stations is an important factor affecting
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Abstract:This paper mainly studies the construction of base stations, establishes models through Kmeans algorithm, simulated annealing algorithm, linear programming and other methods,
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