Non-intrusive Cognitive Radio Using Adaptive Nulls-Steering

In this paper, we propose an adaptive non-intrusive cognitive radio network based on smart antenna technologies. The cognitive transmitter (CT), which is equipped with antenna array, first estimates and tracks the composite steering vectors of each primary (licensed) user. In what follows, CT forms...

Full description

Saved in:
Bibliographic Details
Published in:Wireless personal communications 2013-09, Vol.72 (2), p.1549-1563
Main Author: Wu, Wei-Chiang
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Communications Engineering
Computer Communication Networks
Engineering
Exact sciences and technology
Networks
Radiocommunications
Signal,Image and Speech Processing
Telecommunications
Telecommunications and information theory
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose an adaptive non-intrusive cognitive radio network based on smart antenna technologies. The cognitive transmitter (CT), which is equipped with antenna array, first estimates and tracks the composite steering vectors of each primary (licensed) user. In what follows, CT forms transmit beamforming to place nulls to primary receivers based on the estimated spatial signatures. Moreover, we extensively analyze performance degradation caused by spatial signatures mismatch (estimation error) and verify that the proposed robust nulls-steering beamformer can comprehensively alleviate the mismatch effect. Simulation results demonstrate convergence of the proposed gradient-based recursive least squares algorithm. Furthermore, we have shown that outage probability can be kept extremely low under appropriate array size, which ensures the practicability of the proposed scheme.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-013-1095-y