Getting serious about the Internet of Things
Finding the resources to support a hyper-connected world
Martin Weiss, Professor
Thanks to the Internet of Things (IoT), energy will be saved with thermostats that adjust the temperature based on whether you are home or away, awake or asleep; the elderly can live safer with sensors throughout their homes that track activity, provide medication reminders and send alerts to family or medical personnel for missed meals or emergencies; and the amount of spoiled food will be reduced when supermarkets use sensors to alert store managers if freezer temperatures hit unsafe levels. The question isn’t when the IoT will start transforming our lives—all of the above devices already exist— but rather, how will the radio spectrum support the increased WiFi traffic created by the IoT?
The research by Martin Weiss informs essential public policy decisions.
Weiss’ research explores the issues surrounding how the wireless industry can adapt to meet current and future needs. As the sheer volume of connected devices being built continues to grow at a breathtaking pace—Gartner, Inc. forecasts that 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from 2015, and will reach 20.8 billion by 2020—the implications of this research grows in importance.
Weiss stresses the need to move beyond the present thinking that spectrum rights result in a choice between licensed versus unlicensed use, markets needs versus government regulation, and exclusive use versus open access. He has researched the possibilities and problems associated with sharing the licensed radio frequency bands.
“We have a finite amount of frequencies available for use and we have more and more people who want to us it, so the question is: How do we do better?” said Weiss.
His paper, “Socio-Technical Considerations for Spectrum Assess System (SAS) Design” was presented at the 2015 Dynamic Spectrum Access Networks (DySPAN) conference in Stockholm.
Policy and industry implications of new technologies, techno-economic models of secondary spectrum use, secondary use of spectrum, cost modeling of telecommunications technologies
Funding: National Science Foundation
Tonmukayakul, Arnon and Weiss, Martin B.H. (2009) A study of secondary spectrum use using agent-based computational economics. Netnomics, 9 (2). pp. 125-151. ISSN 1385-9587
Weiss, Martin B.H. and Altamaimi, Mohammed and Cui, Liu (2012) Spatio-Temporal Spectrum Modelling: Taxonomy and economic evaluation of context acquisition. Telecommunications Policy, 36 (4). pp. 335-348. ISSN 0308-5961
Weiss, Martin B.H. and Lehr, William H. and Cui, Liu and Altamaimi, Mohammed (2012)Enforcement in Dynamic Spectrum Access Systems. In: Telecommunications Policy Research Conference, 21-23 September 2012, Arlington, Virginia, USA.
Weiss, Martin B.H. and Altamaimi, Mohammed and McHenry, Mark (2013) Enforcement and Spectrum Sharing: A Case Study of the 1695-1710 MHz Band. In: 8th International Conference on Cognitive Radio Oriented Wireless Networks (CrownCom), July 8–10, 2013, Washington DC.
Gomez, Marcela and Cui, Liu and Weiss, Martin B.H. (2014) Trading wireless capacity through spectrum virtualization using LTE-A. In: Telecommunications Policy Research Conference, September 12-14, 2014, Arlington VA
“Because of the importance of mobile in our lives today, you have a chance to make a difference not today but in the future because this is still very much in the development stage.”
Martin Weiss is a professor in the Department of Informatics and Networked Systems at the University of Pittsburgh’s School of Computing and Information. To learn more about his research, click here. http://j.mp/1jEmgxU