A Comprehensive Survey on RAT Selection Algorithms for Heterogeneous Networks
Due to the coexistence of different Radio Access
Technologies (RATs), Next Generation Wireless Networks (NGWN)
are predicted to be heterogeneous in nature. The coexistence of
different RATs requires a need for Common Radio Resource
Management (CRRM) to support the provision of Quality of Service
(QoS) and the efficient utilization of radio resources. RAT selection
algorithms are part of the CRRM algorithms. Simply, their role is to
verify if an incoming call will be suitable to fit into a heterogeneous
wireless network, and to decide which of the available RATs is most
suitable to fit the need of the incoming call and admit it.
Guaranteeing the requirements of QoS for all accepted calls and at
the same time being able to provide the most efficient utilization of
the available radio resources is the goal of RAT selection algorithm.
The normal call admission control algorithms are designed for
homogeneous wireless networks and they do not provide a solution
to fit a heterogeneous wireless network which represents the NGWN.
Therefore, there is a need to develop RAT selection algorithm for
heterogeneous wireless network. In this paper, we propose an
approach for RAT selection which includes receiving different
criteria, assessing and making decisions, then selecting the most
suitable RAT for incoming calls. A comprehensive survey of
different RAT selection algorithms for a heterogeneous wireless
network is studied.
[1] V. K. Garg, Wireless Communications and Networking, Morgan
Kaufmann Publishers, San Francisco, CA, USA 2007.
[2] P. Nicopolitidis, M. S. Obaidat, G. I. Papadimitriou, and A. S.
Pomportsis, Wireless Networks, John Wiley & Sons Ltd, Chichester, UK
2003.
[3] J. Schiller, Mobile Communications, 2nd Edition, Addison Wesley,
Harlow UK 2003.
[4] J. Perez-Romero, O. Sallent, R. Agusti and M. A. Diaz-Guerra, Radio
Resource Management Strategies in UMTS, John Wiley & Sons Ltd,
Chichester, UK 2005.
[5] O. E. Falowo and H. A. Chana, "Joint call admission control algorithms:
Requirements, approaches, and design considerations", Computer
Communications, vol. 31, no. 6, April 2008, pp. 1200-1217.
[6] A. Tolli and P. Hakalin, "Adaptive Load Balancing Between Multiple
Cell Layers", 2002 IEEE 56th Vehicular Technology Conference (VTC
2002), vol. 3, Vancouver, Canada, September 24-28, 2002, pp. 1691-
1695.
[7] K.H. Suleiman, H.A. Chan, and M.E. Dlodlo, "Load Balancing in the
Call Admission Control of Heterogeneous Wireless Networks",
International Conference on Communications and Mobile Computing
(IWCMC 2006), Vancouver, British Columbia, Canada, July 3-6, 2006,
pp. 245-250.
[8] A. Pillekeit, F. Derakhshan, E. Jugl, and A. Mitschele-Thiel, "Force-
Based Load Balancing in Co-located UMTS/GSM Networks", 2004
IEEE 60th Vehicular Technology Conference (VTC 2004), vol. 6, Los
Angeles, California, USA, September 26-29, 2004, pp. 4402-4406.
[9] W. Zhang, "Performance of Real-time and Data Traffic in
Heterogeneous Overlay Wireless Networks", 19th International
Teletraffic Congress (ITC 19), Beijing, China, August 29 - September 2,
2005.
[10] A. Umbert, L. Budzisz, N.Vucevic and F. Bernardo, "An all-IP
heterogeneous wireless testbed for RAT selection and e2e QoS
evaluation", The 2007 International Conference on Next Generation
Mobile Applications, Services and Technologies (NGMAST 2007),
Cardiff, Wales, UK, September 12-14, 2007, pp. 310-315.
[11] J. Perez-Romero, O. Sallent, and R. Agusti, "Policy-based Initial RAT
Selection Algorithms in Heterogeneous Networks", The 7th IFIP
International Conference on Mobile and Wireless Communications
Networks (MWCN 2005), Marrakech, Morocco, September 19-21, 2005.
[12] O. Ormond, J. Murphy, and G-M. Muntean, "Utility-Based Intelligent
Network Selection in Beyond 3G Systems", 2006 IEEE International
Conference on Communications (ICC 2006), Istanbul, Turkey, June 11-
15, 2006, pp. 1831-1836.
[13] J. Perez-Romero, O. Sallent, and R. Agusti, "A Novel Metric for
Context-Aware RAT Selection in Wireless Multi-Access Systems",
2007 IEEE International Conference on Communications, Glasgow,
Scotland, June 24-28, 2007, pp. 5622-5627.
[14] O. Sallent, J. Perez-Romero, R. Ljung, P. Karlsson, and A. Barbaresi,
"Operator's RAT Selection Policies Based on the Fittingness Factor
Concept", 16th IST Mobile and Wireless Communications Summit,
Budapest, Hungary, July 1-5, 2007, pp. 1-5.
[15] J. Perez-Romero, O. Sallent, A. Umbert, A. Barbaresi, R. Ljung, and R.
Azevedo, "RAT Selection in Wireless Multi-Access Systems", First
Ambient Networks Workshop on Mobility, Multiaccess, and Network
Management (M2NM 2007), Sydney, Australia, October 16-19, 2007.
[16] J. Perez-Romero, O. Salient, and R. Agusti, "A Generalized Framework
for Multi-RAT Scenarios Characterisation", The 65th IEEE Vehicular
Technology Conference (VTC2007-Spring), Dublin, Ireland, April 22-
25, 2007, pp. 980 - 984
[17] P. M. L. Chan, R. E. Sheriff, Y. F. Hu, P. Conforto, and C. Tocci,
"Mobility Management Incorporating Fuzzy Logic for a Heterogeneous
IP Environment", IEEE Communications Magazine, vol. 39, no.12,
December 2001, pp. 42-51.
[18] R. Agusti, O. Salient, J. Perez-Romero, and L. Giupponi, "A Fuzzy-
Neural Based Approach for Joint Radio Resource Management in a
Beyond 3G Framework", First International Conference on Quality of
Service in Heterogeneous Wired/Wireless Networks (QSHINE-04),
Dallas, Texas, USA, October 18-20, 2004, pp. 216-224.
[19] L. Giupponi, R. Agusti, J. Perez-Romero, and O. Sallent, "A novel joint
radio resource management approach with reinforcement learning
mechanisms", 24th IEEE International Performance, Computing, and
Communications Conference (IPCCC 2005), Phoenix, Arizona, USA,
Appril 7-9, 2005, pp. 621- 626.
[20] W. Zhang, "Handover Decision Using Fuzzy MADM in Heterogeneous
Networks", 2004 IEEE Wireless Communications and Networking
Conference (WCNC 2004), vol. 2, Atlanta, GA USA, March 21-25,
2004, pp. 653 - 658.
[21] A. L. Wilson, A. Lenaghan, and R. Malyan, "Optimising Wireless
Access Network Selection to Maintain QoS in Heterogeneous Wireless
Environments", International Symposium on Wireless Personal
Multimedia Communications 2005 (WPMC 2005), Aalborg Denmark,
September 18-22, 2005, pp. 1236-1240.
[22] O.E. Falowo and H.A. Chan, "Fuzzy Logic Based Call Admission
Control for Next Generation Wireless Networks", 3rd International
Symposium on Wireless Communication Systems (ISWCS-06), Valencia,
Spain, September 5-8, 2006.
[1] V. K. Garg, Wireless Communications and Networking, Morgan
Kaufmann Publishers, San Francisco, CA, USA 2007.
[2] P. Nicopolitidis, M. S. Obaidat, G. I. Papadimitriou, and A. S.
Pomportsis, Wireless Networks, John Wiley & Sons Ltd, Chichester, UK
2003.
[3] J. Schiller, Mobile Communications, 2nd Edition, Addison Wesley,
Harlow UK 2003.
[4] J. Perez-Romero, O. Sallent, R. Agusti and M. A. Diaz-Guerra, Radio
Resource Management Strategies in UMTS, John Wiley & Sons Ltd,
Chichester, UK 2005.
[5] O. E. Falowo and H. A. Chana, "Joint call admission control algorithms:
Requirements, approaches, and design considerations", Computer
Communications, vol. 31, no. 6, April 2008, pp. 1200-1217.
[6] A. Tolli and P. Hakalin, "Adaptive Load Balancing Between Multiple
Cell Layers", 2002 IEEE 56th Vehicular Technology Conference (VTC
2002), vol. 3, Vancouver, Canada, September 24-28, 2002, pp. 1691-
1695.
[7] K.H. Suleiman, H.A. Chan, and M.E. Dlodlo, "Load Balancing in the
Call Admission Control of Heterogeneous Wireless Networks",
International Conference on Communications and Mobile Computing
(IWCMC 2006), Vancouver, British Columbia, Canada, July 3-6, 2006,
pp. 245-250.
[8] A. Pillekeit, F. Derakhshan, E. Jugl, and A. Mitschele-Thiel, "Force-
Based Load Balancing in Co-located UMTS/GSM Networks", 2004
IEEE 60th Vehicular Technology Conference (VTC 2004), vol. 6, Los
Angeles, California, USA, September 26-29, 2004, pp. 4402-4406.
[9] W. Zhang, "Performance of Real-time and Data Traffic in
Heterogeneous Overlay Wireless Networks", 19th International
Teletraffic Congress (ITC 19), Beijing, China, August 29 - September 2,
2005.
[10] A. Umbert, L. Budzisz, N.Vucevic and F. Bernardo, "An all-IP
heterogeneous wireless testbed for RAT selection and e2e QoS
evaluation", The 2007 International Conference on Next Generation
Mobile Applications, Services and Technologies (NGMAST 2007),
Cardiff, Wales, UK, September 12-14, 2007, pp. 310-315.
[11] J. Perez-Romero, O. Sallent, and R. Agusti, "Policy-based Initial RAT
Selection Algorithms in Heterogeneous Networks", The 7th IFIP
International Conference on Mobile and Wireless Communications
Networks (MWCN 2005), Marrakech, Morocco, September 19-21, 2005.
[12] O. Ormond, J. Murphy, and G-M. Muntean, "Utility-Based Intelligent
Network Selection in Beyond 3G Systems", 2006 IEEE International
Conference on Communications (ICC 2006), Istanbul, Turkey, June 11-
15, 2006, pp. 1831-1836.
[13] J. Perez-Romero, O. Sallent, and R. Agusti, "A Novel Metric for
Context-Aware RAT Selection in Wireless Multi-Access Systems",
2007 IEEE International Conference on Communications, Glasgow,
Scotland, June 24-28, 2007, pp. 5622-5627.
[14] O. Sallent, J. Perez-Romero, R. Ljung, P. Karlsson, and A. Barbaresi,
"Operator's RAT Selection Policies Based on the Fittingness Factor
Concept", 16th IST Mobile and Wireless Communications Summit,
Budapest, Hungary, July 1-5, 2007, pp. 1-5.
[15] J. Perez-Romero, O. Sallent, A. Umbert, A. Barbaresi, R. Ljung, and R.
Azevedo, "RAT Selection in Wireless Multi-Access Systems", First
Ambient Networks Workshop on Mobility, Multiaccess, and Network
Management (M2NM 2007), Sydney, Australia, October 16-19, 2007.
[16] J. Perez-Romero, O. Salient, and R. Agusti, "A Generalized Framework
for Multi-RAT Scenarios Characterisation", The 65th IEEE Vehicular
Technology Conference (VTC2007-Spring), Dublin, Ireland, April 22-
25, 2007, pp. 980 - 984
[17] P. M. L. Chan, R. E. Sheriff, Y. F. Hu, P. Conforto, and C. Tocci,
"Mobility Management Incorporating Fuzzy Logic for a Heterogeneous
IP Environment", IEEE Communications Magazine, vol. 39, no.12,
December 2001, pp. 42-51.
[18] R. Agusti, O. Salient, J. Perez-Romero, and L. Giupponi, "A Fuzzy-
Neural Based Approach for Joint Radio Resource Management in a
Beyond 3G Framework", First International Conference on Quality of
Service in Heterogeneous Wired/Wireless Networks (QSHINE-04),
Dallas, Texas, USA, October 18-20, 2004, pp. 216-224.
[19] L. Giupponi, R. Agusti, J. Perez-Romero, and O. Sallent, "A novel joint
radio resource management approach with reinforcement learning
mechanisms", 24th IEEE International Performance, Computing, and
Communications Conference (IPCCC 2005), Phoenix, Arizona, USA,
Appril 7-9, 2005, pp. 621- 626.
[20] W. Zhang, "Handover Decision Using Fuzzy MADM in Heterogeneous
Networks", 2004 IEEE Wireless Communications and Networking
Conference (WCNC 2004), vol. 2, Atlanta, GA USA, March 21-25,
2004, pp. 653 - 658.
[21] A. L. Wilson, A. Lenaghan, and R. Malyan, "Optimising Wireless
Access Network Selection to Maintain QoS in Heterogeneous Wireless
Environments", International Symposium on Wireless Personal
Multimedia Communications 2005 (WPMC 2005), Aalborg Denmark,
September 18-22, 2005, pp. 1236-1240.
[22] O.E. Falowo and H.A. Chan, "Fuzzy Logic Based Call Admission
Control for Next Generation Wireless Networks", 3rd International
Symposium on Wireless Communication Systems (ISWCS-06), Valencia,
Spain, September 5-8, 2006.
@article{"International Journal of Information, Control and Computer Sciences:62332", author = "Abdallah AL Sabbagh and Robin Braun and Mehran Abolhasan", title = "A Comprehensive Survey on RAT Selection Algorithms for Heterogeneous Networks", abstract = "Due to the coexistence of different Radio Access
Technologies (RATs), Next Generation Wireless Networks (NGWN)
are predicted to be heterogeneous in nature. The coexistence of
different RATs requires a need for Common Radio Resource
Management (CRRM) to support the provision of Quality of Service
(QoS) and the efficient utilization of radio resources. RAT selection
algorithms are part of the CRRM algorithms. Simply, their role is to
verify if an incoming call will be suitable to fit into a heterogeneous
wireless network, and to decide which of the available RATs is most
suitable to fit the need of the incoming call and admit it.
Guaranteeing the requirements of QoS for all accepted calls and at
the same time being able to provide the most efficient utilization of
the available radio resources is the goal of RAT selection algorithm.
The normal call admission control algorithms are designed for
homogeneous wireless networks and they do not provide a solution
to fit a heterogeneous wireless network which represents the NGWN.
Therefore, there is a need to develop RAT selection algorithm for
heterogeneous wireless network. In this paper, we propose an
approach for RAT selection which includes receiving different
criteria, assessing and making decisions, then selecting the most
suitable RAT for incoming calls. A comprehensive survey of
different RAT selection algorithms for a heterogeneous wireless
network is studied.", keywords = "Heterogeneous Wireless Network, RAT selection
algorithms, Next Generation Wireless Network (NGWN), Beyond
3G Network, Common Radio Resource Management (CRRM).", volume = "5", number = "1", pages = "100-5", }
