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Published in: Wireless Personal Communications 4/2017

14-09-2016

Heterogeneities of Wireless Networks: Radio Resource Management Challenges and Possible Solutions

Author: Olabisi E. Falowo

Published in: Wireless Personal Communications | Issue 4/2017

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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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Literature
1.
go back to reference 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.CrossRef 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.CrossRef
3.
go back to reference 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.CrossRef 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.CrossRef
4.
go back to reference Sgora, A., Gizelis, C. A., & Vergados, D. D. (2011). Network selection in a WiMAX–WiFi environment. Pervasive and Mobile Computing, 7(5), 584–594.CrossRef Sgora, A., Gizelis, C. A., & Vergados, D. D. (2011). Network selection in a WiMAX–WiFi environment. Pervasive and Mobile Computing, 7(5), 584–594.CrossRef
5.
go back to reference 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.CrossRef 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.CrossRef
6.
go back to reference Gozalvez, J., Lucas-Estan, M. C., & Sanchez-Soriano, J. (2012). Joint radio resource management for heterogeneous wireless systems. Wireless Networks, 18, 443–455.CrossRef Gozalvez, J., Lucas-Estan, M. C., & Sanchez-Soriano, J. (2012). Joint radio resource management for heterogeneous wireless systems. Wireless Networks, 18, 443–455.CrossRef
7.
go back to reference 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.CrossRef 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.CrossRef
8.
go back to reference Falowo, O. E., & Anthony Chan, H. (2008). Joint call admission control algorithms: Requirements, approaches, and design considerations. Computer Communications, 31, 1200–1217.CrossRef Falowo, O. E., & Anthony Chan, H. (2008). Joint call admission control algorithms: Requirements, approaches, and design considerations. Computer Communications, 31, 1200–1217.CrossRef
9.
go back to reference 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.CrossRef 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.CrossRef
10.
go back to reference 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. 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.
11.
go back to reference 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.CrossRef 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.CrossRef
12.
go back to reference 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.CrossRef 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.CrossRef
13.
go back to reference Wu, G., Mizuno, M., Havinga, P. J. M. MIRAI architecture for heterogeneous network. IEEE Communications Magazine 40(2), 126–134. Wu, G., Mizuno, M., Havinga, P. J. M. MIRAI architecture for heterogeneous network. IEEE Communications Magazine 40(2), 126–134.
14.
go back to reference 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. 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.
15.
go back to reference 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). 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).
16.
go back to reference 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. 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.
17.
go back to reference 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. 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.
18.
go back to reference 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. 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.
19.
go back to reference Ly, W. (2006). Emerging cellular phone display serdes and their EMI footprint. In International Conference of Consumer Electronics (pp. 129–130). Las Vegas, USA. Ly, W. (2006). Emerging cellular phone display serdes and their EMI footprint. In International Conference of Consumer Electronics (pp. 129–130). Las Vegas, USA.
20.
go back to reference 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.CrossRef 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.CrossRef
21.
go back to reference 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. 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.
22.
go back to reference MIT Electric Vehicle Team, “A guide to understanding battery specifications” December, 2008. MIT Electric Vehicle Team, “A guide to understanding battery specifications” December, 2008.
23.
go back to reference Zafeiris, V. E., & Giakoumakis, E. A. (2011). Optimized traffic flow assignment in multi-homed, multi-radio mobile hosts. Computer Networks, 55(5), 1.CrossRefMATH Zafeiris, V. E., & Giakoumakis, E. A. (2011). Optimized traffic flow assignment in multi-homed, multi-radio mobile hosts. Computer Networks, 55(5), 1.CrossRefMATH
24.
go back to reference 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.CrossRef 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.CrossRef
25.
go back to reference 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. 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.
26.
go back to reference 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. 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.
27.
go back to reference 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. 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.
28.
go back to reference 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. 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.
30.
go back to reference Piamrata, K., Ksentinib, A., Bonninc, J., & Vihob, C. (2011). Radio resource management in emerging heterogeneous wireless networks. Computer Communications, 34(9), 1066–1076.CrossRef Piamrata, K., Ksentinib, A., Bonninc, J., & Vihob, C. (2011). Radio resource management in emerging heterogeneous wireless networks. Computer Communications, 34(9), 1066–1076.CrossRef
31.
go back to reference 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. 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.
32.
go back to reference 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. 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.
33.
go back to reference 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.CrossRef 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.CrossRef
34.
go back to reference 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. 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.
35.
go back to reference 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. 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.
36.
go back to reference 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. 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.
37.
go back to reference 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. 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.
38.
go back to reference 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.CrossRef 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.CrossRef
39.
go back to reference 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. 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.
40.
go back to reference 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. 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.
41.
go back to reference 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. 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.
42.
go back to reference 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.CrossRef 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.CrossRef
43.
go back to reference 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. 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.
44.
go back to reference Seo, S., & Song, J. (2009). An energy-efficient interface selection for multi-mode terminals. Telecommun System, 42, 151–161.CrossRef Seo, S., & Song, J. (2009). An energy-efficient interface selection for multi-mode terminals. Telecommun System, 42, 151–161.CrossRef
45.
go back to reference 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.CrossRef 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.CrossRef
46.
go back to reference Du, Z., Wu, Q., & Yang, P. (2014). Dynamic user demand driven online network selection. IEEE Communications Letters, 18(3), 419–422.CrossRef Du, Z., Wu, Q., & Yang, P. (2014). Dynamic user demand driven online network selection. IEEE Communications Letters, 18(3), 419–422.CrossRef
47.
go back to reference 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.CrossRef 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.CrossRef
48.
go back to reference 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.CrossRef 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.CrossRef
49.
go back to reference 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.CrossRef 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.CrossRef
50.
go back to reference 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.CrossRef 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.CrossRef
51.
go back to reference 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. 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.
52.
go back to reference 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.CrossRef 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.CrossRef
53.
go back to reference 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.CrossRefMATH 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.CrossRefMATH
54.
go back to reference 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.CrossRef 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.CrossRef
55.
go back to reference 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.CrossRef 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.CrossRef
56.
go back to reference 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. 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.
57.
go back to reference 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. 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.
58.
go back to reference 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.CrossRef 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.CrossRef
59.
go back to reference Lee, J., & Yoo, S. (2012). Intelligent cell selection satisfying user requirements for inter-system handover in heterogeneous networks. Computer Communications, 35, 2106–2114.CrossRef Lee, J., & Yoo, S. (2012). Intelligent cell selection satisfying user requirements for inter-system handover in heterogeneous networks. Computer Communications, 35, 2106–2114.CrossRef
60.
go back to reference 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.CrossRef 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.CrossRef
61.
go back to reference Zhu, Y., Ni, L., & Li, B. (2013). Exploiting mobility patterns for inter-technology handover in mobile environments. Computer Communications, 36, 203–210.CrossRef Zhu, Y., Ni, L., & Li, B. (2013). Exploiting mobility patterns for inter-technology handover in mobile environments. Computer Communications, 36, 203–210.CrossRef
Metadata
Title
Heterogeneities of Wireless Networks: Radio Resource Management Challenges and Possible Solutions
Author
Olabisi E. Falowo
Publication date
14-09-2016
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2017
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3631-z

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