Abstract
During the last few years cellular networks have increased the use of spectrum resources due to the success of mobile broadband services. Mobile devices generate more data than ever before, facing the way cellular networks are deployed today to meet the ever increasing traffic demand. Making new exclusive spectrum available to meet traffic demand is challenging since spectrum resources are finite, therefore costly. Cognitive radio technology is proposed, for conventional cellular networks, as a solution to enlarge the pool of available spectrum resources for mobile users through femtocells (small cells), overlaid on the existing macrocell network, to share a common spectrum. However, by reusing simultaneously spectrum resources from femto networks, potentially destructive interference on macro networks is introduced. In this context, we present a femto-users admission control and channel allocation algorithm based on Particle Swarm Optimization (PSO) to maintain the interference to a required Quality of Service (QoS) level in macro-femto networks while, at the same time, data rate is maximized in the whole system. The proposed approach provides design requirements for deploying future cognitive cellular networks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andrews, J.G., Claussen, H., Dohler, M., Rangan, S., Reed, M.C.: Femtocells: past, present, and future. IEEE J. Sel. Areas Commun. 30, 497–508 (2012)
Liu, Y., Cai, L.X., Shen, X., Luo, H.: Deploying cognitive cellular networks under dynamic resource management. IEEE Wirel. Commun. 20, 82–88 (2013)
Cheng, S.-M., Ao, W.-C., Tseng, F.-M., Chen, K.-C.: Design and analysis of downlink spectrum sharing in two-tier cognitive femto networks. IEEE Trans. Veh. Technol. 61, 2194–2207 (2012)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, 1995, vol. 4, pp. 1942–1948 (1995)
Lien, S.-Y., Lin, Y.-Y., Chen, K.-C.: Cognitive and game-theoretical radio resource management for autonomous femtocells with QoS guarantees. IEEE Trans. Wirel. Commun. 10, 2196–2206 (2011)
Ngo, D.T., Le, L.B., Le-Ngoc, T., Hossain, E., Kim, D.I.: Distributed interference management in two-tier CDMA femtocell networks. IEEE Trans. Wirel. Commun. 11, 979–989 (2012)
Palanisamy, P., Nirmala, S.: Downlink interference management in femtocell networks—a comprehensive study and survey. In: 2013 International Conference on Information Communication and Embedded Systems (ICICES), pp. 747–754 (2013)
Sombra, A., Valdez, F., Melin, P., Castillo, O.: A new gravitational search algorithm using fuzzy logic to parameter adaptation. In: IEEE Congress on Evolutionary Computation, pp. 1068–1074 (2013)
Parsopoulos, K.E.: Particle Swarm Optimization and Intelligence: Advances and Applications. IGI Global (2010)
Marinakis, Y., Iordanidou, G.-R., Marinaki, M.: Particle swarm optimization for the vehicle routing problem with stochastic demands. Appl. Soft Comput. 13, 1693–1704 (2013)
Robinson, J., Rahmat-Samii, Y.: Particle swarm optimization in electromagnetics. IEEE Trans. Antennas Propag. 52, 397–407 (2004)
Chan, K.Y., Dillon, T.S., Chang, E.: An intelligent particle swarm optimization for short-term traffic flow forecasting using on-road sensor systems. IEEE Trans. Ind. Electron. 60, 4714–4725 (2013)
Del Valle, Y., Venayagamoorthy, G.K., Mohagheghi, S., Hernandez, J.-C., Harley, R.G.: Particle swarm optimization: basic concepts, variants and applications in power systems. IEEE Trans. Evol. Comput. 12, 171–195 (2008)
Valdez, F., Melin, P., Castillo, O.: Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 2114–2119 (2009)
Valdez, F., Melin, P., Castillo, O.: Parallel particle swarm optimization with parameters adaptation using fuzzy logic. MICAI (2), 374–385 (2012)
Kennedy, J., Eberhart, R.C.: A discrete binary version of the particle swarm algorithm. In: IEEE International Conference on Systems, Man, and Cybernetics, 1997. “Computational Cybernetics and Simulation”, vol. 5, pp. 4104–4108 (1997)
Deep, K., Bansal, J.C.: A socio-cognitive particle swarm optimization for multi-dimensional knapsack problem. In: International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 355–360 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Martínez-Vargas, A., Andrade, Á.G., Sepúlveda, R., Montiel-Ross, O. (2014). An Admission Control and Channel Allocation Algorithm Based on Particle Swarm Optimization for Cognitive Cellular Networks. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-05170-3_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05169-7
Online ISBN: 978-3-319-05170-3
eBook Packages: EngineeringEngineering (R0)