IEEE Wireless Communications - April 2017 - page 122

IEEE Wireless Communications • April 2017
mitigate the effects of possible divergent interests
between the different stakeholders.
This material is based upon works supported by the
Science Foundation Ireland under Grants No. 10/
CE/I1853 and 10/IN.1/I3007, and by the Seventh
Framework Programme for Research of the Europe-
an Commission under grant number ADEL-619647.
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is a lecturer at University College Dublin, Ire-
land. He received his Ph.D. in electrical engineering from the
National University of Singapore (NUS) in 2012. He worked as
a research fellow at CONNECT/CTVR, Trinity College Dublin in
2012–2015. His current research interests include the design,
analysis, and optimization of wireless communications networks,
wireless network virtualization, cognitive radio networks, and
the application of machine learning in small cell and self-orga-
nizing networks. He is serving several international journals as a
reviewer as well as being part of several Technical Programme
Committees at different worldwide conferences/congresses. In
2013, he was selected as an exemplary reviewer of
munications Letters
is a research fellow at CONNECT/CTVR, Ire-
land’s research center for future networks and communica-
tions, based at Trinity College, Dublin. She received her Ph.D. in
robotics from the University of Palermo in 2007. Dr. Macaluso’s
current research interests are in the area of adaptive wireless
resource allocation, with particular focus on the design and anal-
ysis of market-based mechanisms in the management and oper-
ation of reconfigurable wireless networks and the application of
machine learning to radio resource sharing. She has published
more than 50 papers in internationally peer-reviewed journals
and conferences.
is currently a research fellow at CONNECT/
CTVR at Trinity College Dublin. He received his Ph.D. in tele-
communications engineering from the Universitat Politecnica de
Catalunya, Spain, in 2013. His main research areas of interest
are network sharing and network virtualization, software-defined
radios, and future network architectures, including distributed
multi-antenna systems and cloud-RAN. He has published more
than 20 refereed papers in journals and major conferences, and
holds one national patent. He is a director of Software Radio
Systems Ltd, a spinoff company from CONNECT/CTVR.
is the Director of CONNECT/CTVR and a pro-
fessor of engineering and the arts at Trinity College, University
of Dublin. Her expertise is in the fields of wireless communica-
tions, cognitive radio, reconfigurable networks, spectrum man-
agement, and creative arts practices. She has a reputation as
an advocate for change in spectrum management practices
and has played a role in spectrum policy at the national and
international level. Currently she is a member of the National
Broadband Steering Committee in Ireland, and is a member of
the Ofcom Spectrum Advisory Board in the UK. She is on the
advisory board of Wireless@KTH in Sweden. She is a Fellow
of Trinity College Dublin. She is on the Board of the Festival
of Curiosity, a STEM outreach activity for children based on a
city-center yearly science festival. She is a judge in the BT Young
Scientist competition, Ireland’s premier science competition for
school children. She is on the boards of the Douglas Hyde Gal-
lery and Pallas Studios. She is a Director of Xcelerit and SRS, two
CONNECT/CTVR spinoffs.
A. D
holds the personal chair of telecommunica-
tions at Trinity College, where he is a co-principal investigator
of CONNECT/CTVR, a telecommunications center funded by
the Science Foundation Ireland. His research focuses on distrib-
uted and adaptive resource management in wireless networks,
and in particular radio resource sharing and the application
of game theory to wireless networks. Prof. DaSilva is a princi-
pal investigator on research projects funded by the National
Science Foundation, the Science Foundation Ireland, and the
European Commission. He is an IEEE Communications Society
Distinguished Lecturer. He is also a Fellow of the IEEE, for con-
tributions to cognitive networks and to resource management in
wireless networks.
When antennas become
more expensive, a
smaller number of
bidders can be satisfied
and a lower combined
revenue is obtained. It
is possible to counteract
this effect by negotiating
an agreement between
the antenna and the
spectrum providers
before the auction.
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