Sensing-Based Spectrum Sharing in Cognitive Radio Networks
- 1 January 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
In this paper, a new spectrum sharing model called sensing-based spectrum sharing is proposed for cognitive radio networks. This model consists of two phases: in the first phase, the secondary user (SU) listens to the spectrum allocated to primary user (PU) to detect the state of PU; in the second phase, SU adapts its transit power based on the sensing results. If the PU is inactive, the SU allocates the transmission power based on its own benefit. However, if the PU is active, interference power constraint is imposed in order to protect the PU. By studying the ergodic capacity of SU, we show that this spectrum sharing model can achieve a higher capacity of SU link and improve the spectrum utilization compared to conventional opportunistic spectrum access or simple spectrum sharing. Using the dual decomposition method, we find the optimal power allocation policies and the optimal sensing time for fading channels to achieve the ergodic capacity of the SU link considering both transmit and interference power constraints. Finally, the numerical results are presented to validate the analytical results.Keywords
This publication has 9 references indexed in Scilit:
- Sensing-Throughput Tradeoff for Cognitive Radio NetworksIEEE Transactions on Wireless Communications, 2008
- Optimal Power Allocation for Fading Channels in Cognitive Radio Networks under Transmit and Interference Power ConstraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Fundamental limits of spectrum-sharing in fading environmentsIEEE Transactions on Wireless Communications, 2007
- A tutorial on decomposition methods for network utility maximizationIEEE Journal on Selected Areas in Communications, 2006
- Cognitive radio: brain-empowered wireless communicationsIEEE Journal on Selected Areas in Communications, 2005
- The capacity of average and peak power constrained fading channels with channel side informationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Optimum power control over fading channelsIEEE Transactions on Information Theory, 1999
- Cognitive radio: making software radios more personalIEEE Wireless Communications, 1999
- Fading channels: information-theoretic and communications aspectsIEEE Transactions on Information Theory, 1998