Title :
Noise enhanced energy efficiency in green wireless communications
Author :
Liu, Jin ; Li, Zan
Author_Institution :
State Key Lab. of Integrated Services Networks, Xidian University, Shannxi Xian, China, 710071
Abstract :
The exponential growth of wireless communications has resulted in tremendous energy consumption and significant environmental pollution. The energy efficiency (EE) of the wireless system has to be improved in order to achieve green wireless communications. Against this background, we provide a wireless EE improvement scheme based on nonlinear stochastic resonance (SR) technique. Firstly, we explore the mechanism of the bistable SR system and build the normalized ideal reference SR (IRSR) model. On this basis, we further get the analytical expression of bistable system parameters, which make the realization of the SR system be more easy. Finally, we introduce the SR system as the preprocessor of the wireless system receiver, in which one part of noise energy can be utilized to enhance the signal transmission. Theoretical analyses and simulation results show the effectiveness of our proposed scheme in improving the EE of the wireless system.
Keywords :
AWGN; Baseband; Binary phase shift keying; Green products; Signal to noise ratio; Wireless communication; energy efficiency (EE); green wireless communications; nonlinear stochastic resonance (SR); normalized ideal reference SR (IRSR) model;
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
DOI :
10.1109/ICC.2015.7248295