A Predictive Algorithm for Handover Decisions between LTE and LTE-A Networks
Main Article Content
Keywords
Handover Decision, PSO, ANFIS, Heterogeneous network, Neural networks
Abstract
A heterogeneous wireless network needs to maintain seamless mobility and service continuity; for this reason, we have proposed an approach based on the combination of particle swarm optimization (PSO) and an adaptive neuro-fuzzy inference system (ANFIS) to forecast a handover during a movement of a mobile terminal from a serving base station to target base station. Additionally, the handover decision is made by considering several parameters, such as peak data rate, latency, packet loss, and power consumption, to select the best network for handover from an LTE to an LTE-A network. The performance efficiency of the new hybrid approach is determined by computing different statistical parameters, such as root mean square error (RMSE), coefficient of determination (R2), mean square error (MSE), and error standard deviation (StD). The execution of the proposed approach has been performed using MATLAB software. The simulation results show that the hybrid PSO-ANFIS model has better performance than other approaches in terms of prediction accuracy and reduction of handover latency and the power consumption in the network.
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References
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Wafa Benaatou, Cadi Ayyad University
Wafa Benaatou received a B.Sc. degree in computer science and an M.Sc. degree in
software quality from the Faculty of Sciences, Morocco, in 2009 and 2012,
respectively, and a Ph.D. in telecommunications and computer science from the Cadi
Ayyad University, Marrakech, Morocco, in 2019. She was a visiting researcher at the
Department of Communications, ITACA-GIRBA Lab of the Polytechnic University
of Valence, Spain in 2017. She has had extensive experience teaching various
computer science courses and reviewed 7 papers for an international journal and 5
papers for an international conference. Her research interests include wireless
communications networks, computer science, and engineering, artificial intelligence
machine learning, deep learning, optimization, swarm intelligence, particle swarm
optimization, computer vision, classification, regression, and clustering, artificial
neural networks.
Adnane Latif, Cadi Ayyad University
Adnane LATIF was born in Morocco in 1973, has a Ph.D. in Telecommunications and Networks, professor at Cadi Ayyad University, National School of Applied Sciences, Marrakesh, Morocco. Researcher in the areas of Antennas, Microwaves, and Wireless communications. Author of a fifties publications in international conferences and in international journals. Founder and coordinator of the Spring School 2010 "Wireless and Emerging Technologies”. Founder and President of the Moroccan Association of Telecommunications and Electronics Technologies. Member organizer of several International Conferences and Spring Schools. Member of International Program Committee of several international conferences. Reviewer and Board member of several International Journals. Author of two books.
Vicent Pla, Universitat Politècnica de València
Vicent Pla received the M.E. and Ph.D. degrees in telecommunications from the Universitat Politècnica de València (UPV), Spain, and the B.Sc in Mathematics from the Universidad Nacional de Educación a Distancia, Spain. In 1999, he joined the Department of Communications, UPV, where he is currently an Associate Professor. His research interests lie primarily in the area of modeling and performance analysis of communication networks. During the past few years, most of his research activity has focused on resource management in wireless networks. In these areas, he has authored numerous papers in refereed journals and conference proceedings and has been an active participant in several national and European research projects.
