Secondary Transmission Power of Cognitive Radios for Dynamic Spectrum Access

Xiaohua Li; Jinying Chen; Juite Hwu

1st International ICST Workshop on Cognitive Networks and Communications

Research Article

Secondary Transmission Power of Cognitive Radios for Dynamic Spectrum Access

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2008.4685244,
    author={Xiaohua Li and Jinying Chen and Juite Hwu},
    title={Secondary Transmission Power of Cognitive Radios for Dynamic Spectrum Access},
    proceedings={1st International ICST Workshop on Cognitive Networks and Communications},
    publisher={IEEE},
    proceedings_a={COGCOM},
    year={2008},
    month={11},
    keywords={cognitive radio dynamic spectrum access transmission power signal to interference and noise ratio (SINR)},
    doi={10.1109/CHINACOM.2008.4685244}
}

Xiaohua Li
Jinying Chen
Juite Hwu
Year: 2008
Secondary Transmission Power of Cognitive Radios for Dynamic Spectrum Access
COGCOM
IEEE
DOI: 10.1109/CHINACOM.2008.4685244

Xiaohua Li¹^,*, Jinying Chen²^,*, Juite Hwu¹^,*

1: State University of New York at Binghamton Binghamton, NY 13902, USA
2: Department of Communication Engineering College of Information Engineering Chengdu University of technology Chengdu 610059, CHINA

*Contact email: xli@binghamton.edu, chjy@cdut.edu.cn, jhwu1@binghamton.edu

Abstract

In this paper, we analyze the allowable transmission power of cognitive radios when used as secondary users in a dynamic spectrum access network. Closed-form upper and lower bounds are derived, while accurate solutions to transmission power are available through numerical evaluation. The transmission power depends on the distance between primary and secondary transmitters as well as the number of randomly distributed primary receivers. The results show that at the cost of a small SINR redundancy of primary users, cognitive radios can use a significant level of transmission power in certain conditions.

Keywords: cognitive radio dynamic spectrum access transmission power signal to interference and noise ratio (SINR)

Published: 2008-11-21
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CHINACOM.2008.4685244