Title :
Circuit-Aware Cognitive Radios for Energy-Efficient Communications
Author :
Yunfei Chen ; Nossek, Josef A. ; Mezghani, Amine
Author_Institution :
Sch. of Eng., Univ. of Warwick, Coventry, UK
Abstract :
In this letter, the tradeoff between sensing and throughput is studied for cognitive radios by considering the energy consumed in the circuit. The total energy is minimized with respect to the power fractions of the power amplifier and the low noise amplifier, the bit resolution of the analog-to-digital converter, the input backoff of the power amplifier and the sensing time in spectrum sensing, for a fixed achievable number of bits per packet. Numerical results show that the optimal sensing time increases when the circuit energy is considered. They also show that the analog-to-digital converter consumes more energy and that it is advantageous to operate the power amplifier at high input backoffs in cognitive radios.
Keywords :
analogue-digital conversion; cognitive radio; energy consumption; low noise amplifiers; power amplifiers; radio spectrum management; telecommunication power management; analog-to-digital converter; bit resolution; circuit energy; circuit-aware cognitive radio; energy consumption; energy-efficient communication; input backoff; low noise amplifier; network throughput; optimal sensing time; power amplifier; power fraction; spectrum sensing; total energy minimization; Achievable rate; circuit; cognitive radio; energy efficiency; spectrum sensing;
Journal_Title :
Wireless Communications Letters, IEEE
DOI :
10.1109/WCL.2013.032013.130026