On cost-efficient optimisation of universal mobile telecommunications system access subsystem using extended evolutionary heuristic algorithm

摘要

Tremendous increase in mobile subscribers, demand for real-time interactive applications of voice, text, multimedia data and also to provide QoS attracts researchers towards the wireless cellular mobile networks. This necessitates, cellular network monitoring and cost optimisation a non-trivial problem that needs continuous scrutinise and improvement. In this study, we propose a categorisation strategy that eases the approach of optimising the access subsystem of universal mobile telecommunications system (UMTS) cellular network problem. Further, we use mixed integer programming model for optimisation of layered cellular access network and is a NP hard problem. In order to find feasible solution, we propose an extended evolutionary heuristic algorithm that uses powerful techniques like reassignment, redistribution and shuffle tolerance limit. Finally, we show that our proposed heuristic algorithm outperforms other conventional algorithm for both smaller networks and larger networks.