A kind of base station location method and system, computer equipment and readable storage medium

Abstract

The present invention provides a base station site selection method and system, computer equipment, and a readable storage medium. The method includes: A1: encoding the site selection of the base station to obtain an initial population, and using the initial population as the current parent population ; A2: Use the first fitness function to select, cross, and mutate the current parent population to form the current offspring population; wherein, the first fitness function includes: high-priority user coverage items, low-priority User coverage item, construction cost item; A3: Save the offspring individuals in the current offspring population that meet the high-priority user coverage item into the undetermined solution set; A4: Determine whether the current number of crossover mutations reaches the preset number , if yes, according to the second fitness function, select the optimal individual in the pending solution set; if not, according to the first fitness function, select the preset number in the current offspring population to form a new current parent population, and re-enter step A2.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a base station address selection method and system, computer equipment and a readable storage medium. Background technique [0002] The direction of network optimization for electric power wireless private network is to use fewer base stations to achieve greater coverage, that is, to achieve the goal of low cost and wide coverage from the number of network base stations and deployment locations. Its base station can only be erected on the inherent facilities of the power grid such as the existing power distribution room, so the site selection of the base station is subject to certain constraints. Not only that, but users also need to be prioritized according to different power consumption standards. Users with different priorities have different coverage requirements. Users with high priority guarantee full coverage, while users with low priority guarantee a certain ...

AI Technical Summary

Problems solved by technology

[0048] First, the algorithm does not consider the priority of covered users, and cannot reasonably plan the location of base stations according to user needs, resulting in unreasonable resource allocation.

For example, there are high-priority user groups using special services and low-priority user groups using general services in a certain area. If the above algorithm is used to build base stations, the communication quality of high-priority users may not meet their business requirements A problem occurs, but some low-priority users are provided with too high communication quality, resulting in uneven distribution of communication resources and unable to meet user needs

Therefore, when optimizing the location of the base station, it is necessary to give priority to high-priority users, so that the location of the base station is likely to meet the needs of high-priority users, and at the same time take into account the coverage of low-priority users, so that the location of the base station can be optimized. The above Algorithms do not meet these needs

[0049] Second, the algorithm can only find an approximate optimal solution, and does not guarantee that it can meet certain hard requirements

Therefore, the algorithm cannot be adapted to such practical applications

In addition, each base station is represented by a two-dimensional coordinate (x, y), which makes the algorithm more complex

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