A Machine‐Learning Approach Based on Bio‐Inspired Intelligence

This chapter presents a bio‐inspired machine‐learning approach that will be applied to the moving cognitive access points (MCAPs) problem. The MCAPs concept is considered as a solution for the reliable handling of demanding situations. MCAPs are efficient means for offering telecommunication networking services with reduced capital expenditure (CAPEX), due to the absence of permanent infrastructure, and increased resource utilization. They are capable of autonomously moving and establishing a radio network in short time, with limited centralized management. The chapter describes state‐of‐the‐art work related to machine‐learning solutions. It discusses other position optimization solutions related to the MCAP problem. The chapter describes and mathematically formulates the MCAP problem. It discusses the artificial bee colony (ABC) optimization algorithm that will be applied to solve the MCAP problem. The chapter also presents an evaluation results obtained from the application of the algorithm into three different test cases.