Energy-Efficient Spectrum Discovery for Cognitive Radio Green Networks

Authors:
Yi Liu;Shengli Xie;Yan Zhang;Rong Yu;Victor C. Leung
Affiliations:
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, People's Republic of China;School of Electronic and Information Engineering, South China University of Technology, Guangzhou, People's Republic of China and Guangdong University of Technology, Guangzhou, People's Republic o ...;Simula Research Laboratory, Norway/ Department of Informatics, University of Oslo, Oslo, Norway;School of Electronic and Information Engineering, South China University of Technology, Guangzhou, People's Republic of China and Guangdong University of Technology, Guangzhou, People's Republic o ...;Department of Electrical and Computer Engineering, The University of British Columbia, Canada
Venue:
Mobile Networks and Applications
Year:
2012

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Abstract

Cognitive Radio (CR) is an essential technique for the future generation green communication paradigm owing to its inherent advantages of adaptability and cognition. The compulsory spectrum sensing is a critical component to facilitate systems co-existence. In this paper, we propose a new Time-Division Energy Efficient (TDEE) sensing scheme in which the sensing period is divided into an optimal number of timeslots and each Secondary User (SU) is assigned to detect a different channel in one time-slot. An important advantage of TDEE is that the SUs do not need to exchange the control messages for the acknowledgement of a successful cooperation, leading to substantial energy saving without compromising sensing accuracy. Both homogeneous and heterogeneous networks are investigated with respect to the intrinsic trade-off between spectrum efficiency and energy-efficiency. Illustrative results demonstrate that the proposed TDEE is able to achieve much lower energy consumption and higher throughput, compared to the existing mechanisms.