Paper Info
Title
All-Spectrum Cognitive Channelization around Narrowband and Wideband Primary Stations.
Abstract
In this paper we design, implement, and experimentally evaluate a wireless software-defined radio platform for cognitive channelization in the presence of narrowband or wideband primary stations. Cognitive channelization is achieved by jointly optimizing the transmission power and the waveform channel of the secondary users. The process of joint resource allocation requires no a-priori knowledge of the transmission characteristics of the primary user and maximizes the signal-to-interference-plus-noise ratio (SINR) at the output of the secondary receiver. This is achieved by designing waveforms that span the whole continuum of available/device-accessible spectrum, while satisfying a peak power constraint for the secondary users and an interference temperature (IT) constraint for the primary users. We build a four-node software-defined radio testbed and experimentally demonstrate in an indoor laboratory environment the theoretical concepts of all-spectrum cognitive channelization in terms of pre-detection SINR and bit-error-rate (BER) at both primary and secondary receivers.
Year
DOI
Venue
2015
10.1109/GLOCOM.2015.7417278
IEEE Global Communications Conference
Keywords
Field
DocType
Cognitive underlay network,all-spectrum channelization,software-defined radio,testbed implementation
Wideband,Wireless,Narrowband,Computer science,Signal-to-noise ratio,Communication channel,Computer network,Real-time computing,Resource allocation,Interference (wave propagation),Cognitive radio
Conference
ISSN
Citations 
PageRank 
2334-0983
5
0.61
References 
Authors
17
6
Name
Order
Citations
PageRank
George Sklivanitis1497.11
Emrecan Demirors27512.48
Adam M. Gannon350.61
Stella N. Batalama446537.92
Dimitris Pados520826.49
Tommaso Melodia64398290.59