Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
A Policy-Driven Trading Framework for Market-Based Spectrum Assignment
POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
A macroeconomic model for resource allocation in large-scale distributed systems
Journal of Parallel and Distributed Computing
Towards real-time dynamic spectrum auctions
Computer Networks: The International Journal of Computer and Telecommunications Networking
eBay in the Sky: strategy-proof wireless spectrum auctions
Proceedings of the 14th ACM international conference on Mobile computing and networking
Hi-index | 0.00 |
Because of increasing spectrum demand, the value of the spectrum resource has been increasing, and efficiency of spectrum usage has been an important issue in the wireless industry. Therefore, there have recently been many studies of changing the spectrum management framework based on market mechanisms. This research analyses three different mechanisms as alternative secondary trading frameworks: a brokerage mechanism, auction and direct trading, and suggests an optimal framework for secondary-use trading based on in-depth simulations that consider different attributes according to their technical characteristics and market changes. Based on the analysis, this study investigates economic values and competition environments of each alternative for secondary trading mechanisms.