
Robust Energy Efficiency Power Allocation for Uplink OFDM–Based Cognitive Radio Networks
Author(s) -
Zuo Jiakuo,
Dao Van Phuong,
Bao Yongqiang,
Fang Shiliang,
Zhao Li,
Zou Cairong
Publication year - 2014
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.14.0213.0262
Subject(s) - orthogonal frequency division multiplexing , telecommunications link , mathematical optimization , cognitive radio , fractional programming , efficient energy use , convex optimization , computer science , power (physics) , interference (communication) , optimization problem , electronic engineering , mathematics , regular polygon , telecommunications , wireless , engineering , electrical engineering , nonlinear programming , geometry , nonlinear system , quantum mechanics , channel (broadcasting) , physics
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.