Energy-Efficient Partial-Cooperative Spectrum Sensing in Cognitive Radio over Fading Channels

Saud Althunibat (1) , Sandeep Narayanan (2) , Marco Di Renzo (3) , Granelli Fabrizio (4)

1 DISI - Department of Information Engineering and Computer Science
2 DIEI - Department of Electrical and Information Engineering
3 L2S - Laboratoire des signaux et systèmes
4 DISI - Information Engineering and Computer Science Department

Energy efficiency in cooperative spectrum sensing in cognitive radio is investigated in this paper, where a novel approach is proposed for reducing the energy consumed in spectrum sensing and improving the resultant energy efficiency of the cognitive transmission. The proposed approach is based on limiting the number of users that participate in the spectrum sensing task. The participation decision of each user is taken individually by the user itself, where each user estimates the expected amount of consumed energy based on its distance from the base station, and compares it to a predefined threshold. The user will participate only if the estimated energy is less than the threshold. Besides reducing energy consumption, our proposal increases the amount of successfully transmitted data as well. Moreover, an optimization of the threshold is carried out through simulation in order to optimize the energy efficiency. Our results show a considerable amount of reduction in energy consumption (up to 80%) compared to the conventional approach.

Domaines: Théorie de l'information [cs.IT]; Théorie de l'information et codage [math.IT]

Saud Althunibat, Sandeep Narayanan, Marco Di Renzo, Granelli Fabrizio. Energy-Efficient Partial-Cooperative Spectrum Sensing in Cognitive Radio over Fading Channels. 77th Vehicular Technology Conference - IEEE VTC Spring 2013, Jun 2013, Dresden, Germany. pp.1-6, ⟨10.1109/vtcspring.2013.6692549⟩. ⟨hal-00829292⟩