TY - GEN
T1 - The viability of spectrum trading markets
AU - Caicedo, Carlos E.
AU - Weiss, Martin B.H.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - Spectrum trading markets are of growing interest to many spectrum management agencies. They are motivated by their desire to increase the use of market based mechanisms for spectrum management and reduce their emphasis on command and control methods. Despite the liberalization of regulations on spectrum trading in some countries, spectrum markets have not yet emerged as a key spectrum assignment component. The lack of liquidity in these markets is sometimes cited as a primary factor in this outcome. This work focuses on determining the conditions for viability of spectrum trading markets by considering scenarios with different market structures, number of trading participants and amount of tradable spectrum. We make use of Agent-Based Computational Economics (ACE) to analyze each market scenario and the behaviors of its participants. Our models indicate that spectrum markets can be viable in a service if sufficient numbers of market participants exist and the amount of tradable spectrum is balanced to the demand. We use the results of this analysis and the characteristics of the viable markets found to make recommendations for the design of spectrum trading markets. Further work will explore more complicated scenarios.
AB - Spectrum trading markets are of growing interest to many spectrum management agencies. They are motivated by their desire to increase the use of market based mechanisms for spectrum management and reduce their emphasis on command and control methods. Despite the liberalization of regulations on spectrum trading in some countries, spectrum markets have not yet emerged as a key spectrum assignment component. The lack of liquidity in these markets is sometimes cited as a primary factor in this outcome. This work focuses on determining the conditions for viability of spectrum trading markets by considering scenarios with different market structures, number of trading participants and amount of tradable spectrum. We make use of Agent-Based Computational Economics (ACE) to analyze each market scenario and the behaviors of its participants. Our models indicate that spectrum markets can be viable in a service if sufficient numbers of market participants exist and the amount of tradable spectrum is balanced to the demand. We use the results of this analysis and the characteristics of the viable markets found to make recommendations for the design of spectrum trading markets. Further work will explore more complicated scenarios.
KW - Agent-based computational economics
KW - Dynamic spectrum assignment
KW - Secondary spectrum markets
KW - Spectrum trading
UR - http://www.scopus.com/inward/record.url?scp=77953202171&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953202171&partnerID=8YFLogxK
U2 - 10.1109/DYSPAN.2010.5457846
DO - 10.1109/DYSPAN.2010.5457846
M3 - Conference contribution
AN - SCOPUS:77953202171
SN - 9781424451883
T3 - 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum, DySPAN 2010
BT - 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum, DySPAN 2010
T2 - 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum, DySPAN 2010
Y2 - 6 April 2010 through 9 April 2010
ER -