NDLI: Optimizing flow control in multi-interface wireless cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Louni, A. Subbalakshmi, K.P.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA (Louni, A.; Subbalakshmi, K.P.)
Abstract	This paper solves the optimal flow management problem in cognitive radio (CR) networks with multiple self-interested CRs and multiple self interested servers with multiple radio interfaces. We formulate a novel flow management problem in which the cognitive nodes compete to minimize the total delay over all interfaces while at the same time the servers compete to maximize their individual profit. We model this problem as a leader-follower game and propose a dynamic linear pricing scheme designed to achieve optimal flow allocation. We propose an iterative algorithm to solve the game and analyze the criteria for convergence to the unique Nash Equilibrium. The messaging required to implement this algorithm is minimal thereby making it suitable for distributed implementations. Numerical simulations demonstrate significant improvement in terms of average total delay for cognitive nodes in comparison with alternative algorithms. Simulation results show that when quality of service in terms of average total delay is fixed, our algorithm improves the capacity of the network by 40% for the maximum allowable throughput demand.
Sponsorship	IEEE Commun. Soc.
Starting Page	1227
Ending Page	1232
File Size	346028
Page Count	6
File Format	PDF
ISBN	9781479913534
DOI	10.1109/GLOCOM.2013.6831242
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Games Convergence Resource management Delays Pricing Mathematical model
Content Type	Text
Resource Type	Article

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