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http://dx.doi.org/10.4218/etrij.14.0213.0262

Robust Energy Efficiency Power Allocation for Uplink OFDM-Based Cognitive Radio Networks  

Zuo, Jiakuo (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Dao, Van Phuong (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Bao, Yongqiang (School of Communication Engineering, Nanjing Institute of Technology)
Fang, Shiliang (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Zhao, Li (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Zou, Cairong (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University)
Publication Information
ETRI Journal / v.36, no.3, 2014 , pp. 506-509 More about this Journal
Abstract
This paper studies the energy efficiency power allocation for cognitive radio networks based on uplink orthogonal frequency-division multiplexing. The power allocation problem is intended to minimize the maximum energy efficiency measured by "Joule per bit" metric, under total power constraint and robust aggregate mutual interference power constraint. However, the above problem is non-convex. To make it solvable, an equivalent convex optimization problem is derived that can be solved by general fractional programming. Then, a robust energy efficiency power allocation scheme is presented. Simulation results corroborate the effectiveness of the proposed methods.
Keywords
Cognitive radio; energy efficiency; OFDM; general fractional programming;
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