Energy-Efficient Outage Capacity in Sensing-Based Spectrum Sharing Cognitive Radio Networks

YAN Feiyu; ZHAO Jihong; QU Hua; XU Xiguang

doi:10.1049/cje.2018.09.016

Volume 27 Issue 6

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Article Navigation > Chinese Journal of Electronics > 2018 > 27(6): 1271-1276

YAN Feiyu, ZHAO Jihong, QU Hua, et al., “Energy-Efficient Outage Capacity in Sensing-Based Spectrum Sharing Cognitive Radio Networks,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1271-1276, 2018, doi: 10.1049/cje.2018.09.016

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YAN Feiyu, ZHAO Jihong, QU Hua, et al., “Energy-Efficient Outage Capacity in Sensing-Based Spectrum Sharing Cognitive Radio Networks,” Chinese Journal of Electronics, vol. 27, no. 6, pp. 1271-1276, 2018, doi: 10.1049/cje.2018.09.016

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Energy-Efficient Outage Capacity in Sensing-Based Spectrum Sharing Cognitive Radio Networks

doi: 10.1049/cje.2018.09.016

1.
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
2.
School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710061, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61372092, No.61531013) and the National High Technology Research and Development Program of China (863 Program) (No.2014AA01A701).

Received Date: 2016-08-01
Rev Recd Date: 2017-07-27
Publish Date: 2018-11-10

Abstract

Abstract

Energy efficiency (EE) is an important metric for a Cognitive radio network (CRN). We focus on the EE maximization problem in a sensing-based spectrum sharing CRN for delay-sensitive applications. With the aid of one-dimension exhaustive search, fractional programming and Lagrange duality method, two energy-efficient optimal sensing time and power allocation policies are derived with the consideration of Average/Peak transmit power (ATP/PTP) constraints and Average interference power (AIP) constraints, respectively. Simulation results show that the proposed policies can achieve higher EE compared to the conventional spectrum sharing schemes.
- Cognitive radio network (CRN),
- Energy efficiency (EE),
- Sensing-based spectrum sharing,
- Power allocation

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References(16)

References

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