การพัฒนาแบบจำลองสนับสนุนสำหรับการจัดวางสมอลล์เซลล์ในเครือข่ายเคลื่อนที่ด้วยขั้นตอนวิธีการค้นหาแบบนกกาเหว่า

Abstract

In this independent study, the main purpose is to develop the decision support model for deployment of small cell in 3G mobile networks by defining the objective function to optimize the total traffic data and throughput per user. A set of sectors considered in this study are located in urban, suburban, and rural areas. This research proposes a new metaheuristic cuckoo search algorithm to evaluate all the possible locations based on real traffic data and throughput per user from existing 3G networks. The support model for small cell deployment is evaluated by: (i) the distance between planned small cell locations and small cell locations from the model and (ii) the distance between existing small cell locations in real networks and small cell locations from the model. The experimental results show that the cuckoo search algorithm can be applied to develop the decision support model for small cell deployment in mobile networks. Therefore, this support model can be used to find the optimal location for placing small cell in mobile networks, which can save resource, reduce time and error factors in the deployment plan, and provide efficient mobile networks to customers.