By Topic

Optimal Joint Transmission Time and Power Allocation for Heterogeneous Cognitive Radio Networks

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)
Renchao Xie ; Sch. of Inf. & Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China ; Hong Ji ; Pengbo Si

In this paper, we take both the centralized and distributed architectures into account in heterogenous cognitive radio networks, and study the problem of the joint transmission time and power allocation. The problem is formulated as a dual optimization problem with the optimization objective to maximize the total capacity of the secondary users (SUs) with the constraint of fairness. We first optimize the joint transmission time and power allocation for centralized SUs and propose a corresponding resource allocation scheme in the time-frequency domain. Then for the heterogeneous case with both the centralized and distributed network architecture considered, we formulate the resource allocation problem as a cooperative game and propose an iterative power water-filling scheme to get to the Nash Equilibrium (NE). Based on the dual optimization, a dynamic optimal joint transmission time and power allocation scheme for heterogenous cognitive radio networks is proposed. Extensive simulation results are presented to illustrate the performance of the proposed scheme.

Published in:

Communications (ICC), 2011 IEEE International Conference on

Date of Conference:

5-9 June 2011