Research On Location Of NB-IoT Base Station Based On Improved Artificial Immune Algorithm

With the advent of the Internet of things era,the next 5 to 10 years will be a period of rapid growth of Internet of things users.Since 2009,one of the seven national strategic emerging industries has been officially listed in the Internet of things.Cellular Internet of things is not only an important entry point for operators to seize the new market of Internet of things,but also an important means to implement the development strategy of it.In view of the long-term and exclusive characteristics of customers in the Internet of things industry,the construction of cellular Internet of things is imperative.In order to gain the initiative of the market,operators need to accelerate the promotion and deployment.The essence of NB-IoT base station location optimization is NP hard problem,which is of high complexity.Different types of intelligent algorithms are usually used to solve this kind of problem.Artificial immune algorithm is a new intelligent computing method developed on the basis of immunology theory by simulating biological system.It uses the generation and maintenance mechanism of immune system diversity to maintain the diversity of population,to overcome the "premature" problem which is difficult to deal with in the process of general optimization,especially in the process of multimodal function optimization,and finally obtains the global optimal solution.This paper deeply studies the location problem of NB-IoT base station,including the research background,significance,purpose and research status at home and abroad,discusses the difficulties and principles of the location problem of NB-IoT base station,to compare the advantages and disadvantages of common models of the location problem of base station,and selects the location model of NB-IoT base station based on artificial immune algorithm.The model considers multiple constraints,such as base station construction cost,network coverage and capacity,and uses the weight method to transform the multi-objective problem into a single objective optimization problem.The optimal construction scheme is selected when all constraints are met.For this model,improved artificial immune algorithm is used and MATLAB 2016 a software is used to solve it.Finally,the location model of this paper is used for case analysis to get the final location scheme.