An Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis
KAUST DepartmentComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Networks Laboratory (NetLab)
Online Publication Date2015-06-18
Print Publication Date2015-03
Permanent link to this recordhttp://hdl.handle.net/10754/362478
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AbstractIn this paper, an energy efficient cognitive radio system is proposed. The proposed design optimizes the secondary user transmission power and the sensing duration combined with soft-sensing information to minimize the energy per goodbit. Due to the non-convex nature of the problem we prove its pseudo-convexity to guarantee the optimal solution. Furthermore, a quantization scheme, that discretize the softsensing information, is proposed and analyzed to reduce the overload of the continuously adapted power. Numerical results show that our proposed system outperforms the benchmark systems. The impact of the quantization levels and other system parameters is evaluated in the numerical results.
CitationAlabbasi, AbdulRahman, and Basem Shihada. "An Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis." In Proc. of IEEE Wireless Communications and Networking Conference (WCNC). Vol. 2015. 2015.
Conference/Event nameWireless Communications and Networking Conference (WCNC), 2015 IEEE