Adaptive Modulation over Nakagami Fading Channels
Wireless Personal Communications: An International Journal
Cross-Layer Modeling of Adaptive Wireless Links for QoS Support in Multimedia Networks
QSHINE '04 Proceedings of the First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Admission Control for Non-preprovisioned Service Flow in Wireless Metropolitan Area Networks
ECUMN '07 Proceedings of the Fourth European Conference on Universal Multiservice Networks
Allocating dynamic time-spectrum blocks in cognitive radio networks
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
A performance model for admission control in IEEE 802.16
WWIC'05 Proceedings of the Third international conference on Wired/Wireless Internet Communications
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Cross-layer QoS Analysis of Opportunistic OFDM-TDMA and OFDMA Networks
IEEE Journal on Selected Areas in Communications
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Quality of service (QoS) provisioning is an important issue in the deployment of broadband wireless access networks with real-time and non-real-time traffic integration. The Connection Admission Control (CAC) operation is essential to guarantee the QoS requirements of connections while achieving system efficiency. Cognitive Radio is seen as a solution to the current low usage of the radio spectrum and the problem of the fixed spectrum allocation. In this paper, we propose a novel cross-layer Cognitive Radio-based QoS support framework and Cognitive Radio-based CAC scheme in WiMAX point-to-multipoint systems. By using a cross-layer approach, the proposed solution can intelligently explore unused spectrums and spread to non-active spectrums to improve the capacity of the system significantly and provide QoS guaranteed service to real-time traffic. A queueing analytical modeling for the WiAMX system has been carried out. The key system performance parameters are obtained based on the queueing analytical model theoretically. Extensive simulation experiments have been carried out to evaluate the performance of our proposal. The simulation results show that our proposed solution can expand the capacity of WiMAX systems up to two times while providing QoS guaranteed service to real-time and non-real-time traffics.