By Topic

Low complexity algorithms for transmit antenna selection in cognitive MIMO system

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

2 Author(s)
Muhammad Waheed ; School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, People Republic of China ; Anni Cai

Cognitive radio (CR) enabling dynamic utilization of spectrum white spaces is considered as a key technology to improve spectrum utilization efficiency, where cognitive users can avail unused radio frequency (RF) spectrum on secondary basis while not unduly interfering with the legitimate users. Multiple antenna techniques, promising diversity and capacity gains may also be an efficient solution to combat interference in such co-existing environments. However, additional system cost and complexities associated with multiple antennas limit their application in CR systems. We propose low complexity antenna selection algorithms, which greatly reduce hardware cost and complexities of cognitive MIMO system, while keeping much of the benefits of the multiple antennas. Simulations results verify that proposed algorithms achieve near optimal system capacity over a wide range of SNR, while adhering interference constraints to the primary users.

Published in:

Local Computer Networks (LCN), 2010 IEEE 35th Conference on

Date of Conference:

10-14 Oct. 2010