Enhanced MIH Architecture-Aware Radio Resource Management Approach in NGWNs

The perception of Next Generation Wireless Networks (NGWNs) is based on the coexistence and the interoperability of different types of Radio Access Technologies (RATs) such as cellular Long Term Evolution Advanced (LTE-A) network and Wireless Local Area Network (WLAN) in a unified wireless heterogeneous system based on an IP core network infrastructure. Vertical handover management is one of major challenges to ensure seamless mobility in order to achieve efficient resource utilization and maintain service quality. In this paper, we present cooperation between a preventive radio resource management scheme (PRRM) and vertical handover that explicitly use multiple challenges that achieve a load balancing among available radio access technologies in order to improve average system utilization. This proposal is mainly based on the principles IEEE 802.21 Media Independent Handover (MIH) concepts. Detailed simulation analysis illustrates the reduced complexity of the proposed model and demonstrates the enhancement of vertical handover under the control of our PRRM.

[1]  Lakshminarayanan Subramanian,et al.  One more bit is enough , 2005, SIGCOMM '05.

[2]  Rosdiadee Nordin,et al.  Vertical Handover Solutions Over LTE-Advanced Wireless Networks: An Overview , 2014, Wirel. Pers. Commun..

[3]  Saïd Hanafi,et al.  An Adaptive Multimedia-Oriented Handoff Scheme for IEEE 802.11 WLANs , 2011, ArXiv.

[4]  Joel J. P. C. Rodrigues,et al.  A survey of QoS/QoE mechanisms in heterogeneous wireless networks , 2014, Phys. Commun..

[5]  Zhizhong Ding,et al.  LTE Radio Resource Management Conformance Testing: Exploration and Implementation , 2014, J. Commun..

[6]  Joel J. P. C. Rodrigues,et al.  A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3 , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

[7]  Jagdeep Singh Performance aspects of enhanced radio resource management with QoS differentiation in UMTS network , 2005 .

[8]  Mohammad S. Obaidat,et al.  Optimized MIH-assisted P-NEMO design for vertical handover over heterogeneous network mobility , 2014, 2014 IEEE International Conference on Communications (ICC).

[9]  A. Ukil QoS aware predictive Call Admission Control and resource reservation in next generation wireless networks , 2009, 2009 4th International Conference on Computers and Devices for Communication (CODEC).

[10]  Joel J. P. C. Rodrigues,et al.  A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience , 2014, 2014 IEEE International Conference on Communications (ICC).

[11]  Marília Curado,et al.  A quality of experience handover system for heterogeneous multimedia wireless networks , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[12]  R. Braun,et al.  A mobility optimization CRRM approach for Next Generation Wireless Networks , 2012, 2012 International Conference on Computer & Information Science (ICCIS).

[13]  Juan Rico,et al.  Resource management for QoS support in cognitive radio networks , 2014, IEEE Communications Magazine.

[14]  C.-C. Jay Kuo,et al.  Radio Resource Management for Multimedia QoS Support in Wireless Networks , 2004, Springer US.

[15]  Chen Huan,et al.  Radio Resource Management for Multimedia QoS Support in Wireless Networks , 2003 .