By Topic

Efficient Mutual Interference Minimization and Power Allocation for OFDM-Based Cognitive Radio

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rahman, M.J. ; Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada ; Xianbin Wang ; Primak, S.L.

The ever-increasing demand for precious radio spectrum along with the inefficient usage of licensed band has led to the advent of the cognitive radio (CR) technology, which aims to provide opportunistic spectrum usage to unlicensed users and thus lead to the co-existence and interference control problem among heterogeneous systems. In this paper, an interference minimization and subcarrier power allocation approach for orthogonal frequency division multiplexing (OFDM)-based cognitive network is proposed. A transmission power negotiation signaling between CR transmitter and receiver is established through the use of encoded cyclic prefix (CP). Therefore, mutual interference to primary and other cognitive users can be minimized with reduced unnecessary transmission power. In addition, system performance of the receiver can be guaranteed in the process of mutual interference minimization. Beside this, subcarrier power allocation profile can be chosen from a set of predefined profiles and can be sent at the same time without additional signaling link and extra delay to the network. The transceiver structure and control signal encoding and decoding algorithm are investigated. The performance of the proposed signaling links are also analyzed and evaluated through simulations in different channel scenarios. In addition, interference minimization technique is validated through the simulation of probability density function (PDF) and then in a cognitive radio network with randomly distributed nodes to assess the overall perceived interference.

Published in:

Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE

Date of Conference:

Nov. 30 2009-Dec. 4 2009