TY - GEN
T1 - Service discovery and device identification in cognitive radio networks
AU - Miller, Rob
AU - Xu, Wenyuan
AU - Kamat, Pandurang
AU - Trappe, Wade
PY - 2007
Y1 - 2007
N2 - Cognitive Radios (CR) will be able to communicate adaptively in an effort to optimize spectral efficiency. An integral step towards this goal involves obtaining a representative view of the various services operating in a local area. Although it is possible to load different software modules to identify each potential service, such an approach is needlessly inefficient. Instead, rather than use a collection of complete protocols on a CR, we believe that it is essential to have a separate identification module that is capable of reliably identifying services and devices while minimizing the code needed. In particular, by effectively leveraging protocol-specific properties, we show that it is possible to utilize data from narrowband spectral sampling in order to identify broader band services and individual devices. We demonstrate the feasibility of such service and device identification using GNU Radio and the Universal Software Radio Peripheral (USRP) platform by identifying radio services in the industrial, scientific, and medical (ISM) radio band. Further, we show that physical layer signatures may be used to reliably identify devices, thereby allowing CRs to exploit physical layer information in support of basic authentication functionality.
AB - Cognitive Radios (CR) will be able to communicate adaptively in an effort to optimize spectral efficiency. An integral step towards this goal involves obtaining a representative view of the various services operating in a local area. Although it is possible to load different software modules to identify each potential service, such an approach is needlessly inefficient. Instead, rather than use a collection of complete protocols on a CR, we believe that it is essential to have a separate identification module that is capable of reliably identifying services and devices while minimizing the code needed. In particular, by effectively leveraging protocol-specific properties, we show that it is possible to utilize data from narrowband spectral sampling in order to identify broader band services and individual devices. We demonstrate the feasibility of such service and device identification using GNU Radio and the Universal Software Radio Peripheral (USRP) platform by identifying radio services in the industrial, scientific, and medical (ISM) radio band. Further, we show that physical layer signatures may be used to reliably identify devices, thereby allowing CRs to exploit physical layer information in support of basic authentication functionality.
KW - Cognitive radio
KW - GNU radio
KW - Spectral sensing
KW - USRP
UR - https://www.scopus.com/pages/publications/48049090958
UR - https://www.scopus.com/pages/publications/48049090958#tab=citedBy
U2 - 10.1109/SAHCN.2007.4292880
DO - 10.1109/SAHCN.2007.4292880
M3 - Conference contribution
SN - 1424412684
SN - 9781424412686
T3 - 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON
SP - 670
EP - 677
BT - 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON
T2 - 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON
Y2 - 18 June 2007 through 21 June 2007
ER -