A comprehensive survey on rat selection algorithms for heterogeneous networks

AA Sabbagh, R Braun… - World Academy of Science …, 2011 - opus.lib.uts.edu.au
World Academy of Science, Engineering and Technology, 2011opus.lib.uts.edu.au
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 …
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.
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