Measurement-based replanning of cell capacities in GSM networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Analytic modeling of handoffs in wireless cellular networks
Information Sciences—Applications: An International Journal
Efficient Network Utilization for Multimedia Wireless Networks
NETWORKING '00 Proceedings of the IFIP-TC6/European Commission International Workshop on Mobile and Wireless Communication Networks
Challenges of real-time secondary usage of spectrum
Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic spectrum management for cognitive radio: an overview
Wireless Communications & Mobile Computing - Cognitive Radio and Advanced Spectrum Management
Resource planning in cognitive radio networks
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
IEEE Transactions on Wireless Communications
A survey on spectrum management in cognitive radio networks
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
Cognitive radio heralds the next step in the evolution of wireless communications. In this paper, an analytical model for infrastructure based cognitive radio systems is proposed, and its performance is evaluated under bursty traffic scenarios in a multiple cell environment. Performance metrics like probabilities of dropping and blocking for primary and secondary users as well as forced termination and forced frequency handoff for secondary users are investigated, and the analytical model is verified with simulations. In addition to the analytical model, a new resource planning method is proposed to compensate for uneven traffic load distribution. The proposed method considers offered traffic, hop count to the heavily loaded cell, and velocity of mobile users during resource planning and performs better in terms of probability of blocking, dropping, and forced termination. The proposed method is promising in balancing the system performance measures, yet there is room for further improvement for finding a closed formula for the proposed analytical model. Copyright © 2010 John Wiley & Sons, Ltd.