A stop-and-start adaptive cellular genetic algorithm for mobility management of GSM-LTE cellular network users

作者：

Highlights：

• An adaptive metaheuristic to solve the user’s mobility problem in cellular networks.

• Uses a mechanism to dynamically stop the algorithm and start it again.

• Uses a low-complexity formula to adapt dynamically the algorithm’s parameters.

• Tests over 25 realistic networks and comparison against 26 top-ranked algorithms.

• Experiments showed that the proposed approach is more efficient and less complex.

摘要

•An adaptive metaheuristic to solve the user’s mobility problem in cellular networks.•Uses a mechanism to dynamically stop the algorithm and start it again.•Uses a low-complexity formula to adapt dynamically the algorithm’s parameters.•Tests over 25 realistic networks and comparison against 26 top-ranked algorithms.•Experiments showed that the proposed approach is more efficient and less complex.

论文关键词：Cellular networks,Cellular Genetic Algorithms,Adaptation

论文评审过程：Received 30 November 2017, Revised 6 February 2018, Accepted 28 February 2018, Available online 1 March 2018, Version of Record 25 April 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.02.041