Multiple-RAT selection for reducing call blocking/dropping probability in cooperative heterogeneous wireless networks

There is an increasing demand for high bandwidth-consuming services such as real-time video and video streaming over wireless access networks. A single radio access technology (RAT) in a heterogeneous wireless network may not always have enough radio resource to admit high bandwidth-consuming calls, such as video calls. Existing joint call admission control (JCAC) algorithms designed for heterogeneous wireless networks block/drop an incoming call when none of the available individual RATs in the network has enough bandwidth to admit the incoming call. Consequently, video calls experience high call blocking/dropping probability in the network. However, some calls such as multi-layer coded (scalable) video can be transmitted/received over one or multiple RATs. This article proposes a JCAC algorithm that selects a single or multiple RATs for scalable video calls in heterogeneous wireless networks, depending on availability of radio resources in available RATs. Non scalable calls are always admitted into a single RAT by the algorithm. The aim of the proposed algorithm is to reduce call blocking/dropping probability for both scalable and non-scalable calls. An analytical model is developed for the proposed JCAC algorithm, and its performance is evaluated. Simulation results show that the proposed algorithm reduces call blocking/dropping probability in heterogeneous wireless networks.

[1]  Aggelos K. Katsaggelos,et al.  Packet Scheduling for Scalable Video Streaming Over Lossy Packet Access Networks , 2007, 2007 16th International Conference on Computer Communications and Networks.

[2]  Mansoor Alam,et al.  Determination of optimal call admission control policy in wireless networks , 2009, IEEE Transactions on Wireless Communications.

[3]  Antti Toskala,et al.  Wcdma for Umts , 2002 .

[4]  H. Anthony Chan,et al.  Joint call admission control algorithms: Requirements, approaches, and design considerations , 2008, Comput. Commun..

[5]  Joachim Sachs,et al.  Multi-access Management in Heterogeneous Networks , 2009, Wirel. Pers. Commun..

[6]  Wei Song,et al.  Multi-service load sharing for resource management in the cellular/WLAN integrated network , 2009, IEEE Trans. Wirel. Commun..

[7]  H. Anthony Chan,et al.  Adaptive Bandwidth Management and Joint Call Admission Control to Enhance System Utilization and QoS in Heterogeneous Wireless Networks , 2007, EURASIP J. Wirel. Commun. Netw..

[8]  Baohua Zhao,et al.  Fast Optimal Resource Allocation for Scalable Video Multicast in Broadband Wireless Networks , 2010, 2010 IEEE International Conference on Communications.

[9]  Wenhui Zhang Performance of Real-time and Data Traffic in Heterogeneous Overlay Wireless Networks , 2005 .

[10]  Oriol Sallent,et al.  A Markovian Approach to Radio Access Technology Selection in Heterogeneous Multiaccess/Multiservice Wireless Networks , 2008, IEEE Transactions on Mobile Computing.

[11]  Hossam S. Hassanein,et al.  Dynamic threshold-based call admission framework for prioritized multimedia traffic in wireless cellular networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[12]  Charles M. Grinstead,et al.  Introduction to probability , 1999, Statistics for the Behavioural Sciences.

[13]  Zhenzhong Chen,et al.  Perception-Aware Multiple Scalable Video Streaming Over WLANs , 2010, IEEE Signal Processing Letters.

[14]  Abraham O. Fapojuwo,et al.  Analysis of Common Radio Resource Management Scheme for End-to-End QoS Support in Multiservice Heterogeneous Wireless Networks , 2008, IEEE Transactions on Vehicular Technology.