Primary network cognition with spatial diversity signature

Authors:
Dae-Young Seol;Tae-Won Yune;Gi-Hong Im
Affiliations:
Department of Electronic and Electrical Engineering, Pohang, South Korea;Department of Electronic and Electrical Engineering, Pohang, South Korea;Department of Electronic and Electrical Engineering, Pohang, South Korea
Venue:
IEEE Communications Letters
Year:
2009

Citing 6
Cited 1

Principles of mobile communication (2nd ed.)

Principles of mobile communication (2nd ed.)
Amplitude clipping and iterative reconstruction of MIMO-OFDM signals with optimum equalization

IEEE Transactions on Wireless Communications
Cognitive Radio: A Communications Engineering View

IEEE Wireless Communications
Applications of Machine Learning to Cognitive Radio Networks

IEEE Wireless Communications
A simple transmit diversity technique for wireless communications

IEEE Journal on Selected Areas in Communications
Cyclostationary Signatures in Practical Cognitive Radio Applications

IEEE Journal on Selected Areas in Communications

Resource allocation for mitigating the effect of sensing errors in cognitive radio networks

IEEE Communications Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

The identification of primary networks improves efficiency in dynamic spectrum access. We propose a spatial diversity signature for the primary signal detection, which exploits the structure of space-time or space-frequency codeword based on Alamouti scheme. The signature pattern informs the secondary user which network transmits the primary signal and enables to maintain an experiential database for each primary network. The proposed scheme provides reliable detection and network identification performance over frequency-selective fading channels in low signal-to-noise ratio regimes, without sacrificing the data rate of primary system.