Joint pricing and resource allocation for OFDMA-based cognitive radio systems
Type
Conference PaperKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Physical Science and Engineering (PSE) Division
Date
2011-04Permanent link to this record
http://hdl.handle.net/10754/564369
Metadata
Show full item recordAbstract
Cognitive users can share spectrum with primary users under constraints on the interference that results. We present a new pricing strategy for sharing the primary users' available subchannels with cognitive users by optimizing the secondary and primary users' utilities while meeting the primary users' interference constraints. The primary users aim to maximize their revenues by sharing their subchannels with secondary users while ensuring that they achieve a minimum target capacity. On the other hand, the secondary users aim to maximize their capacity under three different constraints: consumed power, a given budget for sharing subchannels, and tolerable interference caused to the primary users. We introduce a sequential procedure based on a distributed algorithm to determine the resource allocation, interference thresholds and prices that satisfy the requirements of both parties in the network. Simulations show that the users face a tradeoff between capacity, power, and price. © 2011 IEEE.Citation
Ben Ghorbel, M., Goldsmith, A., & Alouini, M.-S. (2011). Joint pricing and resource allocation for OFDMA-based cognitive radio systems. 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). doi:10.1109/infcomw.2011.5928829Conference/Event name
2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011ISBN
9781457702488ae974a485f413a2113503eed53cd6c53
10.1109/INFCOMW.2011.5928829