Research Article
Server-Uncertain Spectrum Trading in Cognitive Radio Networks: A Queueing-Theoretic Modeling Approach
@INPROCEEDINGS{10.4108/icst.crowncom.2012.248118, author={Lixia LIU and Gang HU and Ming XU and Yuxing PENG}, title={Server-Uncertain Spectrum Trading in Cognitive Radio Networks: A Queueing-Theoretic Modeling Approach}, proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={7}, keywords={dynamic spectrum access cognitive radio spectrum trading queueing server uncertainty average service rate}, doi={10.4108/icst.crowncom.2012.248118} }- Lixia LIU
Gang HU
Ming XU
Yuxing PENG
Year: 2012
Server-Uncertain Spectrum Trading in Cognitive Radio Networks: A Queueing-Theoretic Modeling Approach
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248118
Abstract
Spectrum trading is the promising method to improve spectrum efficiency from the perspective of economics. In this paper we propose a queueing-theory based spectrum trading model, where the primary user plays the server role providing spectrum to the secondary user who acts as the customer. The most significant challenge is how to optimize the spectrum trading model considering the server uncertainty which includes service state, service time, service area, service content and service price. We design a STACP queueing model according to the server attributes, so that the secondary user can choose the right queue quickly and reasonably according to its demand. Moreover, we further analyze the optimizing strategies for STACP model which can maximize the profit of the primary user and minimize the service cost of the secondary user. The simulation results demonstrate the analysis results.