Abstract
In a shared radio access network, a user can be served through the network of his home operator or the network of another service operator in the sharing system. Consequently, when the home operator is unable to serve its user, and there is more than one available service operator, a selection decision must be made. The decision must consider the satisfaction of three main agents: the user, his home operator and the service operator. This paper presents a strategic algorithm for the access selection decision in a multi-operator wireless network. It is based on a cost function that combines the requirements of the user, its home operator profit and the offered QoS of the service operator. This cost function takes into account the operators’ strategies for cooperation. This work focuses on the service operator strategy and proposes two strategies: a pricing strategy that consists of increasing the service cost, and a sharing strategy that consists of limiting the amount of shared resources. Simulation results prove the efficiency of the proposed algorithm and show how sharing between operators brings benefits in terms of user acceptance and profits as well. In addition, results show that the service operator strategy affects the access selection decision and the cooperation benefits; a pricing strategy can guarantee high profits for the service operator and can improve its client acceptance.
Similar content being viewed by others
References
5GPPP. 5g vision. Technical report, 5GPPP, (2015).
HUAWEI. 5g: A technology vision. Technical report, HUAWEI TECHNOLOGIES CO., LTD., 2013.
NGM. Ngmn 5g whitepaper. Delivrable, February 2015.
NEC Corporation. Ran sharing: Nec’s approach towards active radio access network sharing. White Paper, 2013.
Farhat, S., Samhat, A. E., & Lahoud, S. (2014). Hybrid decision algorithm for access selection in multi-operator networks. In Wireless communications and networking conference (WCNC), 2014 IEEE, pp. 2414–2419.
Markendahl, J., & Ghanbari, A. (2013). Shared smallcell networks: Multi-operator or third party solution–or both? In Fourth international workshop on indoor and outdoor small cells 2013.
3rd Generation Partnership Project. Tr 22.852, study on ran sharing enhancements (release 12 & 13). Technical report, Technical Specification Group Radio Access Networks, (2013).
Institute for Communication Sytems 5G innovation Center, University of Surrey. 5g whitepaper: The flat distributed cloud (fdc) 5g architecture revolution. White Paper January 2016.
Checko, A., Christiansen, H. L., Yan, Ying, Scolari, L., Kardaras, G., & Berger, M. S., et al. (2015). Cloud ran for mobile networks: A technology overview. IEEE Communications Surveys Tutorials, 17(1), 405–426.
Marotta, M. A., Kaminski, N., Gomez-Miguelez, I., Granville, L. Z., Rochol, J., & DaSilva, L., et al. (2015). Resource sharing in heterogeneous cloud radio access networks. IEEE Wireless Communications, 22(3), 74–82.
Farhat, S., Samhat, A. E., Lahoud, S., & Cousin, B. (2015). Comparison between access selection algorithms in multi-operator wireless networks. In International conference on applied research in computer science and engineering (ICAR), 2015 , pp, 1–8.
Farhat, S., Samhat, A. E., Lahoud, S., & Cousin, B. (2014). Best operator policy in a heterogeneous wireless network. In Third international conference on e-technologies and networks for development (ICeND), 2014 , pp. 53–57.
Wang, L., & Kuo, G. S. G. S. (2013). Mathematical modeling for network selection in heterogeneous wireless networks. IEEE Communications Surveys Tutorials, 15(1), 271–292.
Bari, F., & Leung, V. C. M. ( 2007). Use of non-monotonic utility in multi-attribute network selection. In Wireless Telecommunications Symposium, 2007. WTS 2007, pp. 1–8.
Karam, F. W., & Jensen, T. (April 2012). A qos based handover decision (nearest performance handover) algorithm for next generation networks. In 8th international conference on computing technology and information management (ICCM), 2012 , Vol. 2, pp. 554–560.
Nguyen-Vuong, Q. T., Ghamri-Doudane, Y., & Agoulmine, N. (2008). On utility models for access network selection in wireless heterogeneous networks. In IEEE network operations and management symposium, 2008. NOMS 2008, pp. 144–151.
Ormond, O., Murphy, J., & Muntean, G. M. (2006). Utility-based intelligent network selection in beyond 3g systems. In IEEE international conference on communications, 2006. ICC ’06, Vol. 4, pp. 1831–1836.
El Helou, M., Ibrahim, M., Lahoud, S., & Khawam, K. (2013). Radio access selection approaches in heterogeneous wireless networks. In IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob), 2013 , pp. 521–528.
El Helou, M., Lahoud, S., Ibrahim, M., & Khawam, K. (2013). A hybrid approach for radio access technology selection in heterogeneous wireless networks. In Proceedings of the 2013 19th European wireless conference (EW), , pp. 1–6.
Karam, F. W., & Jensen, T. (2012). Performance analysis of ranking for qos handover algorithm for selection of access network in heterogeneous wireless networks. In 21st international conference on computer communications and networks (ICCCN), 2012, pp. 1–6.
Martínez-Morales, J. D., Pineda-Rico, U., & Stevens-Navarro, E. (2010). Performance comparison between madm algorithms for vertical handoff in 4g networks. In 7th international conference on electrical engineering computing science and automatic control (CCE), 2010, pp. 309–314.
Song, Q., & Jamalipour, A. (2005). A network selection mechanism for next generation networks. In IEEE international conference on communications, 2005. ICC 2005., Vol. 2, pp. 1418–1422.
Stevens-Navarro, E., & Wong, V. W. S. (2006). Comparison between vertical handoff decision algorithms for heterogeneous wireless networks. In IEEE 63rd vehicular technology conference, 2006. VTC 2006-Spring, Vol. 2, pp. 947–951.
Zhang, W. (2004). Handover decision using fuzzy madm in heterogeneous networks. In IEEE wireless communications and networking conference, 2004. WCNC, Vol. 2, pp. 653–658.
Giupponi, L., AgustÍ, R., PÉrez-Romero, J., & Sallent, O. (2009) Fuzzy neural control for economic-driven radio resource management in beyond 3g networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 39(2):170–189.
Giupponi, L., Agusti, R., Perez-Romero, J. & Sallent, O. (2005). Joint radio resource management algorithm for multi-rat networks. In IEEE global telecommunications conference, 2005. GLOBECOM ’05, Vol. 6, pp. 5–3855.
El Helou, M., Ibrahim, M., Lahoud, S., & Khawam, K. (2014). Optimizing network information for radio access technology selection. In IEEE symposium on computers and communication (ISCC), 2014, pp. 1–6.
Song, Q., & Jamalipour, A. (2006). Nxg04-2: A negotiation-based network selection scheme for next-generation mobile systems. In IEEE global telecommunications conference, 2006. GLOBECOM ’06., pp. 1–5.
Akkarajitsakul, K., Hossain, E., Niyato, D., & Kim, D. I. (2011). Game theoretic approaches for multiple access in wireless networks: A survey. IEEE Communications Surveys Tutorials, 13(3), 372–395.
Antoniou, J., & Pitsillides, A. (2007). 4g converged environment: Modeling network selection as a game. In 16th IST mobile and wireless communications summit, 2007, pp. 1–5.
Cao, Xi-Ren, Shen, Hong-Xia, Milito, R., & Wirth, P. (2002). Internet pricing with a game theoretical approach: concepts and examples. Networking, IEEE/ACM Transactions on, 10(2), 208–216.
Charilas, D., Markaki, O., Tragos, E. (2008). A theoretical scheme for applying game theory and network selection mechanisms in access admission control. In 3rd international symposium on wireless pervasive computing, 2008. ISWPC 2008, pp. 303–307.
Shih, Yuan-Yao, Pang, Ai-Chun, Tsai, Meng-Hsun, & Chai, Chien-Han. (2015). A rewarding framework for network resource sharing in co-channel hybrid access femtocell networks. IEEE Transactions on Computers, 64(11), 3079–3090.
Zhang, H., Bennis, M., DaSilva, L. A., & Han, Z. (2014). Multi-leader multi-follower stackelberg game among wi-fi, small cell and macrocell networks. In IEEE global communications conference (GLOBECOM), 2014 , pp. 4520–4524.
Taha, A. M. (2007). A framework for radio resource management in heterogenuous wireless networks. PhD thesis, Kingston. chapter 3 pp. 37-70.
Fortetsanakis, G., Papadopouli, M., Karlsson, G., Dramitinos, M., & Yavuz, E. A. (2012). To subscribe, or not to subscribe: Modeling and analysis of service paradigms in cellular markets. In IEEE international symposium on dynamic spectrum access networks (DYSPAN), 2012, pp. 189–200.
Gajic, V., Huang, J., & Rimoldi, B. (2014). Competition of wireless providers for atomic users. IEEE/ACM Transactions on Networking, 22(2), 512–525.
Farhat, S., Chahine, Z., Samhat, A. E., Lahoud, S., & Cousin, B. (2015). Access selection and joint pricing in multi-operator wireless networks: A stackelberg game. In Fifth international conference on digital Information and communication technology and its applications (DICTAP), 2015 , pp. 38–43.
Giupponi, L., Agusti, R., Perez-Romero, J., & Salient, O. (2007). Improved revenue and radio resource usage through inter-operator joint radio resource management. In IEEE international conference on communications, 2007. ICC ’07, pp. 5793–5800.
Giupponi, L., Agusti, R., Perez-Romero, J., & Sallent, O. (2008). Inter-operator agreements based on qos metrics for improved revenue and spectrum efficiency. Electronics Letters, 44(4), 303–304.
Farhat, S., Samhat, A. E., Lahoud, S., & Cousin, B. (2015). Pricing strategies in multi-operator heterogeneous wireless networks. In 2015 7th international conference on new technologies, mobility and security (NTMS), pp. 1–5.
Acknowledgments
This work has been partially funded with support from the Lebanese University.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Farhat, S., Samhat, A.E., Lahoud, S. et al. Radio Access Network Sharing in 5G: Strategies and Benefits. Wireless Pers Commun 96, 2715–2740 (2017). https://doi.org/10.1007/s11277-017-4321-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-017-4321-1