Abstract:
The Wireless Medical Telemetry Services (WMTS) band has been established by the FCC in the United States for transmission of data related to a patient's health, and simil...Show MoreMetadata
Abstract:
The Wireless Medical Telemetry Services (WMTS) band has been established by the FCC in the United States for transmission of data related to a patient's health, and similar reserved channels exist for life-critical communications throughout the world. However, transmissions in the WMTS band are severely hampered by interferences from adjacent digital television channels, and due to non-uniform access priority, as this band is also shared by utility telemetry and government installations. In this article, we propose the use of cognitive radio technology to dynamically utilize the WMTS frequencies based on the activity patterns of the high priority users, and the quality of service constraints of the patients' data, while ensuring protection to existing higher priority transmissions and the safe operation of sensitive medical equipment. The priority users here are utility telemetry transmissions in certain portions of the WMTS band, government run radar sites, and legacy medical telemetry equipment without cognitive radio capability. We provide the first measurements on the complete WMTS spectrum activity at two major hospital locations in the Boston area, and outline an optimization framework that assigns frequency and transmission power jointly in this setting. The article also discusses the current state of the art and the major challenges in the implementation of this new cognitive radio assisted medical telemetry paradigm.
Published in: IEEE Wireless Communications ( Volume: 19, Issue: 4, August 2012)
Northeastern University, USA
Rahman Doost-Mohammady (doost@ece.neu.edu) received his B.Sc. in computer engineering in 2007 from Sharif University of Technology, Tehran, Iran. He holds an M.Sc. degree in embedded systems from Delft University of Technology, the Netherlands, where he started his research on cognitive radio networks. Since 2010 he has been a research assistant at the Department of Electrical and Computer Engineering at Northeastern Univ...Show More
Rahman Doost-Mohammady (doost@ece.neu.edu) received his B.Sc. in computer engineering in 2007 from Sharif University of Technology, Tehran, Iran. He holds an M.Sc. degree in embedded systems from Delft University of Technology, the Netherlands, where he started his research on cognitive radio networks. Since 2010 he has been a research assistant at the Department of Electrical and Computer Engineering at Northeastern Univ...View more
Northeastern University, USA
R. Chowdhury [m'09] (krc@ece.neu.edu) is an assistant professor in the Electrical and Computer Engineering Department at Northeastern University. He graduated with a B.E. in electronics engineering with distinction from VJTI, Mumbai University, India, in 2003. He received his M.S. in computer science from the University of Cincinnati, Ohio, in 2006, and his Ph.D. from the Georgia Institute of Technology, Atlanta, in 2009....Show More
R. Chowdhury [m'09] (krc@ece.neu.edu) is an assistant professor in the Electrical and Computer Engineering Department at Northeastern University. He graduated with a B.E. in electronics engineering with distinction from VJTI, Mumbai University, India, in 2003. He received his M.S. in computer science from the University of Cincinnati, Ohio, in 2006, and his Ph.D. from the Georgia Institute of Technology, Atlanta, in 2009....View more
Contents Northeastern University, USA
Rahman Doost-Mohammady (doost@ece.neu.edu) received his B.Sc. in computer engineering in 2007 from Sharif University of Technology, Tehran, Iran. He holds an M.Sc. degree in embedded systems from Delft University of Technology, the Netherlands, where he started his research on cognitive radio networks. Since 2010 he has been a research assistant at the Department of Electrical and Computer Engineering at Northeastern University, Boston, Massachusetts, where he works on the implementation issues and applications of cognitive radio networks. He also won the best paper award in the Cognitive Radio and Networks Symposium at IEEE ICC in 2012.
Rahman Doost-Mohammady (doost@ece.neu.edu) received his B.Sc. in computer engineering in 2007 from Sharif University of Technology, Tehran, Iran. He holds an M.Sc. degree in embedded systems from Delft University of Technology, the Netherlands, where he started his research on cognitive radio networks. Since 2010 he has been a research assistant at the Department of Electrical and Computer Engineering at Northeastern University, Boston, Massachusetts, where he works on the implementation issues and applications of cognitive radio networks. He also won the best paper award in the Cognitive Radio and Networks Symposium at IEEE ICC in 2012.View more
Northeastern University, USA
R. Chowdhury [m'09] (krc@ece.neu.edu) is an assistant professor in the Electrical and Computer Engineering Department at Northeastern University. He graduated with a B.E. in electronics engineering with distinction from VJTI, Mumbai University, India, in 2003. He received his M.S. in computer science from the University of Cincinnati, Ohio, in 2006, and his Ph.D. from the Georgia Institute of Technology, Atlanta, in 2009. His M.S. thesis was given the outstanding thesis award jointly by the ECE and CS departments at the University of Cincinnati. He won the best paper award in the Ad Hoc and Sensor Networks Symposium at IEEE ICC in 2009, and currently serves on the editorial board of the Elsevier Ad Hoc Networks and Elsevier Computer Communications journals. His expertise and research interests lie in wireless cognitive radio ad hoc networks, energy harvesting, and multimedia communication over sensor networks.
R. Chowdhury [m'09] (krc@ece.neu.edu) is an assistant professor in the Electrical and Computer Engineering Department at Northeastern University. He graduated with a B.E. in electronics engineering with distinction from VJTI, Mumbai University, India, in 2003. He received his M.S. in computer science from the University of Cincinnati, Ohio, in 2006, and his Ph.D. from the Georgia Institute of Technology, Atlanta, in 2009. His M.S. thesis was given the outstanding thesis award jointly by the ECE and CS departments at the University of Cincinnati. He won the best paper award in the Ad Hoc and Sensor Networks Symposium at IEEE ICC in 2009, and currently serves on the editorial board of the Elsevier Ad Hoc Networks and Elsevier Computer Communications journals. His expertise and research interests lie in wireless cognitive radio ad hoc networks, energy harvesting, and multimedia communication over sensor networks.View more
