Site selection method for 4G base station based on hybrid immune algorithm

Abstract

The invention relates to a site selection method for a 4G base station based on a hybrid immune algorithm, which comprises the steps of generating n LTE base station sites in an area where a wirelessnetwork is to be deployed; calculating an affinity evaluation function of the n LTE base station site according to the base station site construction cost and coverage rate; selecting m LTE base station sites to serve as parent bodies for base station cloning according to the size of the affinity evaluation function of the base station sites, wherein m is less than n; performing hybrid immune evolution according to the cloned daughter bodies to form various different base station sites; calculating an affinity evaluation function of the evolved base station sites according to the base stationsite construction cost and coverage rate, and selecting the first k LTE base station sites to serve as the optimal sites for storage and finally judging whether the optimization is completed or not according to the number of optimization times so as to enable the base station site planning to be more reasonable. The method not only improves the accuracy of base station site selection, but also saves a lot of manpower and material resources.

Description

technical field [0001] The invention belongs to mobile communication technology, in particular to a method for solving 4G base station site selection based on a hybrid immune algorithm. Background technique [0002] With the rapid development of my country's mobile communication industry, mobile communication technology has widely penetrated into all walks of life in society. As of September 2016, the total number of domestic mobile communication phone users has reached nearly 1.316 billion, of which the total number of 4G users has reached 686 million. It accounts for 52.1% of mobile phone users, and the coverage rate of mobile phones has reached 89.02%. People's dependence on mobile communication is increasing, and their requirements for communication speed, quality, and security are getting higher and higher. In order to meet the needs of the society, the three major operators in my country without exception choose to expand the network capacity by increasing the number of...

AI Technical Summary

Problems solved by technology

[0004] To sum up, the current base station site selection method not only consumes a lot of manpower and material resources, but also has very poor accuracy, which is very unscientific, and the site selection results are often far from the optimal site in practical problems.

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