Abstract
This paper examines the heterogeneities of wireless networks from six different perspectives, namely mobile terminals, radio access technologies (RATs), network services, users, network operators, and network geographical areas. These different aspects of wireless network heterogeneities offer certain benefits but also pose some challenges to effective management of radio resources. The challenges of wireless network heterogeneities are highlighted in this paper and possible solutions are proffered. The paper then compares recent network selection algorithms proposed for wireless networks with respect to the aspects of heterogeneities considered. Comparative analysis of the different network-selection algorithm shows that whereas RAT, services, and users heterogeneities have received much attention in the literature, terminal, operator, and geographical area heterogeneities have not been widely considered. Thus, more attention should be given terminal, operator, and geographical area aspects of wireless network heterogeneities so that the problems of radio resource management in wireless networks can be addressed in a more holistic way. An algorithm that considers the different aspects of network heterogeneities is proposed, and simulation results are given to highlight the effects of network heterogeneities on connection-level quality of service provisioning in heterogeneous wireless networks.
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Trestian, R., Ormond, O., & Muntean, G. (2014). Enhanced power-friendly access network selection strategy for multimedia delivery over heterogeneous wireless. IEEE Transactions on Broadcasting, 60(1), 85–101.
Falowo, O. E., & Chan, H. A. (2012). Dynamic RAT selection for multiple calls in heterogeneous wireless networks using group decision making technique. Computer Networks,. doi:10.1016/j.comnet.2011.12.013.
Nguyen-Vuong, Q., Agoulmine, N., Cherkaoui, E., & Toni, L. (2013) Multicriteria optimization of access selection to improve the quality of experience in heterogeneous wireless access networks. IEEE Transactions on Vehicular Technology, 62(4), 1785–1800.
Sgora, A., Gizelis, C. A., & Vergados, D. D. (2011). Network selection in a WiMAX–WiFi environment. Pervasive and Mobile Computing, 7(5), 584–594.
Chamodrakas, I., & Martakos, D. (2012). A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks. Applied Soft Computing, 12, 1929–1938.
Gozalvez, J., Lucas-Estan, M. C., & Sanchez-Soriano, J. (2012). Joint radio resource management for heterogeneous wireless systems. Wireless Networks, 18, 443–455.
Hasib, A., & Fapojuwo, A. O. (2008). Analysis of common radio resource management scheme for end-to-end QoS support in multiservice heterogeneous wireless networks. IEEE Transactions on Vehicular Technology, 57(4), 2426–2439.
Falowo, O. E., & Anthony Chan, H. (2008). Joint call admission control algorithms: Requirements, approaches, and design considerations. Computer Communications, 31, 1200–1217.
Gelabert, X., Pérez-Romero, J., Sallent, O., & Agusti, R. (2008). A markovian approach to radio access technology selection in heterogeneous multiaccess/multiservice wireless networks. IEEE Transactions on Mobile Computing, 7(10), 1257–1270.
Coupechoux, M., Kelif, J., & Godlewski, P. (2008). Network controlled joint radio resource management for heterogeneous networks. In Proceedings of the IEEE Vehicular Technology Conference. VTC Spring 2008. Singapore, 11–14 May 2008.
Xie, B., Kumar, A., & Agrawal, D. P. (2008). Enabling multiservice on 3G and beyond: Challenges and future directions. IEEE Wireless Communications, 15(3), 66–72.
Frattasi, S., Fathi, H., Fitzek, F. H. P., Prasad, R., & Katz, M. D. (2006). Defining 4G technology from the user’s perspective. IEEE Network, 20(1), 35–41.
Wu, G., Mizuno, M., Havinga, P. J. M. MIRAI architecture for heterogeneous network. IEEE Communications Magazine 40(2), 126–134.
Falowo, O. E., & Chan, H. A. Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks. Telecommunication System doi:10.1007/s11235-010-9322-2.
Ernst, T., Montavont, N., Wakikawa, R., Ng, C. W., & Kuladinithi, K. (2008). Motivations and scenarios for using multiple interfaces and global addresses. Internet Draft, Monami6 Working Group, IETF Internet-Draft, (3 May 2008).
Mirani, F. H., Boukhatem, N., & Tran, P. N. (2011). On terminal utility for multiple flow/interface association in mobile terminals. In Wireless Days Conference, Niagara Falls. Ontario, Canada, 10–12 October, 2011.
Huang, S. (2012). Mobile display technologies: The primary interface between man and machine—Now in your pocket. Mobile_Display_whitepaper-001 10/2010, Marvell International Ltd.
Kim, H. (2011). Power Saving Technology for Display 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011). Daejeon, Korea, 31 May -3 June 2011.
Ly, W. (2006). Emerging cellular phone display serdes and their EMI footprint. In International Conference of Consumer Electronics (pp. 129–130). Las Vegas, USA.
Maniar, N., Bennett, E., Hand, S., & Allan, G. (2008). The effect of mobile phone screen size on video based learning. Journal of Software, 3(4), 51–61.
Tung, Q., Korp, M., Gniady, C., Efrat, A., & Barnard, K. (2013). MobiSLIC: Content-aware energy saving for educational videos on mobile devices. In 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. Tokyo, Japan, December 2–4, 2013.
MIT Electric Vehicle Team, “A guide to understanding battery specifications” December, 2008.
Zafeiris, V. E., & Giakoumakis, E. A. (2011). Optimized traffic flow assignment in multi-homed, multi-radio mobile hosts. Computer Networks, 55(5), 1.
Andreev, S., Gerasimenko, M., Galinina, O., Koucheryavy, Y., Himayat, N., Yeh, S., & Talwar, S. (2014). Intelligent access network selection in converged multi-radio heterogeneous networks. IEEE Wireless Communications, 21(6), 86–96.
Conforto, P., Mura, R., Secondiani, L., & Scalise, S. (2003). Mutimedia service provisions in mobility: The FIFTH solutions for the railroad environment. In Proceedings of Ninth Ka-Band Utilization Conference. Genova, Italy, 8–12 September, 2003.
Simmonds, A., Sandilands, P., & van Ekert, L. (2006). An ontology for network security attacks. In S. Manandhar, S. Austin, J. Austin, U. Desai, Y. Oyanagi, A. K. Talukder (Ed.), Applied computing (Vol. 3285, pp. 317–323), Springer.
Falowo, O. E., & Oluwole, O. (2011). Effect of RAT selection based on service symmetry and network duplex mode in heterogeneous wireless networks. In Proceedings of the 10th IEEE AFRICON Conference. Livingstone, Zambia, 15 September, 2011.
Vassilakis, V. G., Moscholios, I. D., & Logothetis, M. D. (2007). Call-level performance modelling of elastic and adaptive service-classes. In IEEE International Conference on Communications, Glasgow, Scotland, 24–28 June, 2007.
The World in 2014: ICT Facts and Figures, http://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx, Accessed 13 January 2015.
Piamrata, K., Ksentinib, A., Bonninc, J., & Vihob, C. (2011). Radio resource management in emerging heterogeneous wireless networks. Computer Communications, 34(9), 1066–1076.
Guo, M., Liu, P., Liu, F., & Qiao, Y. (2010). Changes in users’ preference of services at different time scales. In 12th IEEE International Conference on Communication Technology. Nanjing, China, 11–14 November, 2010.
Flipsen, B., Geraedts, J., Reinders, A., Bakker, C., Dafnomilis, I., & Gudadhe, A. (2012). Environmental sizing of smartphone batteries. In Proceedings Electronics Goes Green 2012+ Taking Green to the Next Level. Berlin, Germany, 9–12 September, 2012.
Cricelli, L., Grimaldi, M., & Levialdi, N. (2011). The competition among mobile network operators in the telecommunication supply chain. International Journal of Production Economics, 131(1), 22–29.
AlQahtani, S., & Baroudi, U. (2006). An uplink performance evaluation for roaming-based multi-operator WCDMA cellular networks. In Proceedings of the 4th ACS/IEEE International Conference on Computer Systems and Applications. Dubai/Sharjah, UAE, March 8–11, 2006.
Johansson, K., Kristensson, M., & Schwarz, U. (2004). Radio resource management for roaming based multi-operator WCDMA networks. In Proceedings of the IEEE Vehicular Technology Conference VTC (pp. 2062–2066). Milan, Italy, May, 2004.
Elias, J., Martignon, F., Chen, L., & Altman, E. (2013). Joint operator pricing and network selection game in cognitive radio networks: Equilibrium, system dynamics and price of anarchy. IEEE Transactions on Vehicular Technology 62(9), November 2013.
Third Generation Partnership Project (3GPP), Technical Specification Group (TSG) RAN3, Network Sharing; Architecture and Functional Description (Release 6), Technical Specification TS 23.251, version 2.0.0, June 2004.
Jorswieck, E. A., Badia, L., Fahldieck, T., Karipidis, E., & Jian, L. (2014) Spectrum sharing improves the network efficiency for cellular operators. IEEE Communications Magazine, 52(3), 129–136.
Mölleryd, B. G., & Markendahl, J. (2013). The role of network sharing in transforming the operator business: impact on profitability and competition. In 24th European Regional Conference of the International Telecommunication Society, Florence, Italy, 20–23 October 2013.
Frisanco, T., & Ang, R. (2008). Infrastructure sharing and shared operations for mobile network operators: From a deployment and operations view. In Network Operations and Management Symposium. Salvador, Bahia, Brazil, April 7–11, 2008.
Wu, C.-P., & Baker, K. R. (2012). Comparison of LTE performance indicators and throughput in indoor and outdoor scenarios at 700 MHz. In IEEE 76th Vehicular Technology Conference. Québec City, Canada, 3–6 September 2012.
Lonn, S., et al. (2004). Output power levels from mobile phones in different geographical areas; implication for exposure for assessment. Occupational and Environmental Medicine, 61, 769–772.
Huang, J., & Lien, Y. (2012). Challenges of emergency communication network for disaster response. In Proceedings of the IEEE International Conference Communication Systems, Singapore, 21–23 September, 2012.
Seo, S., & Song, J. (2009). An energy-efficient interface selection for multi-mode terminals. Telecommun System, 42, 151–161.
Malanchini, I., Cesana, M., & Gatti, N. (2013). Network selection and resource allocation games for wireless access networks. IEEE Transactions on Mobile Computing, 12(12), 2427–2440.
Du, Z., Wu, Q., & Yang, P. (2014). Dynamic user demand driven online network selection. IEEE Communications Letters, 18(3), 419–422.
Kosmidesa, P., Rouskas, A., & Anagnostou, M. (2014). Utility-based RAT selection optimization in heterogeneous wireless networks. Pervasive and Pervasive and Mobile Computing, 12, 92–111.
Falowo, O. E. (2012). Terminal-modality-based joint call admission control algorithm for fair radio resource allocation in heterogeneous cellular networks. International Journal of Communications, Network and System Sciences, 5, 392–404.
Lopez-Benìtez, M., & Gozalvez, J. (2011). Common radio resource management algorithms for multimedia heterogeneous wireless networks. IEEE Transactions on Mobile Computing, 10(9), 1201–1213.
Choque, J., Agüero, R., & Muñoz, L. (2011). Optimum selection of access networks within heterogeneous wireless environments based on linear programming techniques. Mobile Network Application, 16, 412–423.
Suleiman, K. H., Chan, H. A., & Dlodlo, M. E. (2011). Issues in designing joint radio resource management for heterogeneous wireless networks. In 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). Wuhan, China, 23–25 September 2011.
Omhenia, N., Zaraia, F., Obaidatb, M. S., Smaouia, I., & Kamounaa, L. (2014). A MIH-based Approach for best network selection in heterogeneous wireless networks. Journal of Systems and Software, 92, 143.
Gelabert, X., Sallent, O., Pérez-Romero, J., & Agustí, R. (2011). Performance evaluation of radio access selection strategies in constrained multi-access/multi-service wireless networks. Computer Networks, 55(1), 173–192.
Vucevic, N., Pérez-Romero, J., Sallent, O., & Agustí, R. (2011). Reinforcement learning for joint radio resource management in LTE-UMTS scenarios. Computer Networks, 55(7), 1487–1497.
Preethi, J., & Palaniswami, S. (2012). A hybrid modified particle swarm optimization for heterogeneous radio access technology. International Journal of Computer Applications, 43(9), 35–42.
Xie, G., Chen, H., Xie, L., & Wang, K. (2013). A user-preference-aware terminal-controlled access network selection scheme in heterogeneous wireless networks. In Proceedings of Vehicular Technology Conference. Las Vegas, USA, 2–5 September 2013.
Sibanda, C. L., & Bagula, A. B. (2012). Network selection for mobile nodes in heterogeneous wireless networks using knapsack problem dynamic algorithms. In 20th Telecommunications Forum, Serbia, Belgrade, 20–22 November 2012.
Konka, J., Andonovic, I., Michie, C., & Atkinson, R. (2014). Auction-based network selection in a market-based framework for trading wireless communication services. IEEE Transactions on Vehicular Technology, 63(3), 1365–1377.
Lee, J., & Yoo, S. (2012). Intelligent cell selection satisfying user requirements for inter-system handover in heterogeneous networks. Computer Communications, 35, 2106–2114.
Falowo, O. E., & Chan, H. A. (2012). Multiple-RAT selection for reducing call blocking/dropping probability in cooperative heterogeneous wireless networks. EURASIP Journal on Wireless Communications and Networking, 2012, 221. doi:10.1186/1687-1499-2012-221.
Zhu, Y., Ni, L., & Li, B. (2013). Exploiting mobility patterns for inter-technology handover in mobile environments. Computer Communications, 36, 203–210.
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Falowo, O.E. Heterogeneities of Wireless Networks: Radio Resource Management Challenges and Possible Solutions. Wireless Pers Commun 92, 1713–1746 (2017). https://doi.org/10.1007/s11277-016-3631-z
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DOI: https://doi.org/10.1007/s11277-016-3631-z