Open AccessEnergy Efficient Design for OFDM-Based Underlay Cognitive Radio Networks
Author(s) -
Yunli Chen,
Zhengguang Zheng,
Yibin Hou,
Yong Li
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/431878
Subject(s) - underlay , cognitive radio , transmitter power output , interference (communication) , efficient energy use , bisection method , power (physics) , mathematical optimization , computer science , orthogonal frequency division multiplexing , spectral efficiency , energy (signal processing) , electronic engineering , wireless , telecommunications , engineering , mathematics , electrical engineering , channel (broadcasting) , transmitter , signal to noise ratio (imaging) , statistics , physics , quantum mechanics
Conventional designs on OFDM-based underlay cognitive radio (CR) networks mainly focus on interference avoidance and spectral efficiency (SE) improvement. As green radio becomes increasingly important, this paper investigates energy efficient power allocation. Our aim is to maximize energy efficiency (EE), subject to the constraints on the total transmit power, the peak interference power, and the minimum data rate requirement. We first analyze the relationship between SE and EE and solve this optimization problem with the help of bisection search technique. However, the accuracy of the power allocation solution is dependent on the number of iterations. In order to achieve the exact optimal solution, a new energy efficient power allocation scheme is proposed to balance the tradeoff between SE and EE. Simulation results are provided to demonstrate the effectiveness of the proposed schemes.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom