Title
Spatial spectrum sharing-based carrier aggregation for heterogeneous networks
Abstract
This paper considers spatial spectrum sharing-based carrier aggregation (SSS-CA) from a game theoretic perspective. In SSS-CA, a network operator can not only transmit on its own licensed spectrum but it can also access and aggregate the licensed spectrum of other operators on payment of a certain price. The difference between operators and the aggregators in each licensed spectrum makes this network heterogeneous. We first model the pairing problem between potential operators as a pairing game and then derive the condition for which both operators are incentivized to form an SSS-CA pair. We then introduce the power control game to derive the optimal transmit power of each spectrum aggregator. Finally, we consider the pricing optimization problem by forming a pricing adjustment game. We observe that these three problems are linked by the price function of the operators and hence can be jointly optimized by using a hierarchical game theoretic framework. We derive the Stackelberg equilibrium for the pricing and power joint optimization problem and present the numerical results to compare the performance improvement brought by our proposed joint optimization method.
Year
DOI
Venue
2012
10.1109/GLOCOM.2012.6503507
GLOBECOM
Keywords
Field
DocType
pricing adjustment game,carrier aggregation,pricing optimization problem,optimisation,licensed spectrum aggregator,network operator,hierarchical game theoretic framework,optimal transmit power,stackelberg equilibrium,licensed spectrum operator,pairing problem,pairing game,spatial spectrum sharing-based carrier aggregation,cognitive radio,game theoretic perspective,sss-ca,radio spectrum management,game theory,power control game,price function,heterogeneous network,power joint optimization problem,spatial spectrum sharing
Mathematical optimization,Transmitter power output,News aggregator,Computer science,Power control,Operator (computer programming),Heterogeneous network,Stackelberg competition,Optimization problem,Performance improvement
Conference
ISSN
ISBN
Citations 
1930-529X E-ISBN : 978-1-4673-0919-6
978-1-4673-0919-6
3
PageRank 
References 
Authors
0.39
0
5
Name
Order
Citations
PageRank
Yong Xiao140.74
Timothy K. Forde2223.46
Irene Macaluso311922.24
Luiz A. DaSilva41192117.84
L. E. Doyle548745.61