Experimental study of spectrum sensing based on energy detection and network cooperation
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Multi-user diversity in a spectrum sharing system
IEEE Transactions on Wireless Communications
Opportunistic Spectrum Access via Periodic Channel Sensing
IEEE Transactions on Signal Processing
Fundamental limits of spectrum-sharing in fading environments
IEEE Transactions on Wireless Communications
On Capacity Under Receive and Spatial Spectrum-Sharing Constraints
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Performance analysis of uplink cognitive cellular networks with opportunistic scheduling
IEEE Communications Letters
Performance Analysis of Cognitive Radio Multiple-Access Channels Over Dynamic Fading Environments
Wireless Personal Communications: An International Journal
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This paper investigates the capacity and energy efficiency of spectrum sharing systems with opportunistic user selection where a secondary network utilizes spectrum bands licensed to a primary network under interference regulation. In spectrum sharing systems, secondary users consume a fraction of their resources in sensing the channels to the primary users to comply with the interference constraints. Although more resources for sensing improve reliability and performance, the throughput loss due to time overhead and energy loss due to power overhead should be properly incorporated in performance evaluation. In this context, we define and derive a new metric - average capacity normalized by the total energy consumption - reflecting time and power overhead for spectrum sensing. Based on the developed framework, the optimal normalized-capacity is investigated. We also propose a simple and practical suboptimal best-n scheme motivated by the infeasibility and high computational complexity of the optimal strategy, where n denotes the number of sensing secondary users. Our analytical and simulation results show that the proposed best-1 scheme is an energy-efficient technique with near optimality in terms of the capacity normalized by the energy consumption.