By Topic

Resource allocation for cognitive radio networks with a beamforming user selection strategy

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
$33 $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)
Bassem Zayen ; Dept. of Mobile Communications, Eurecom Institute, 2229 Route des Cretes, B.P. 193, 06904, Sophia Antipolis, France ; Aawatif Hayar ; Geir E. Øien

In this paper we address the problem of resource allocation in the context of cognitive radio networks (CRN). With the deployment of K antennas at the cognitive base station (CBS), an efficient transmit beamforming technique combined with user selection is proposed to maximize the uplink throughput and satisfy the signal-to-noise and interference ratio (SNIR) constraint, as well as to limit interference to the primary user (PU). In the proposed user selection algorithm, secondary users (SUs) are first pre-selected so as to maximize the per-user sum capacity subject to minimize the mutual interference. Then, the PU verifies the outage probability constraint and a number of SUs are selected from those pre-selected SUs. Simulation results show that our proposed method exhibits a significant number of cognitive users able to transmit while minimizing interference to guarantee QoS for the PU. We also compare the results obtained by the proposed method to those obtained using a binary power allocation method. The reported results demonstrate the efficiency of the proposed technique to maximize the SU rate while maintaining a QoS to a PU, and its superiority to the binary power allocation.

Published in:

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers

Date of Conference:

1-4 Nov. 2009