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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2011 Vol.1(4): 332-336 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.49

Throughput Maximization Problem in a Cognitive Radio Network

Subhasree Bhattacharjee, Amit Konar, and Suman Bhattacharjee

Abstract—Throughput maximization problem is considered in this paper. Here, throughput analysis is done for fixed allocation of channels. Fixed allocation of channels means number of primary users allocated to a channel is considered to be fixed but the number of users is different for different channels. Primary users allocated to a specific channel compete to access the channel and the cognitive users sense the channel whether the channel is free or not. The transmission probabilities of primary and secondary users are different. In this paper we consider the delay related to channel access of secondary users. We consider number of secondary users is very large. Our objective is to find the optimal number of secondary users to maximize the total throughput of primary and secondary users.

Index Terms—primary users, cognitive users, fixed allocation, transmission probability.

Subhasree Bhattacharjee is with Narula Institute of Technology, Kolkata, India (e-mail: bhattacharjeesubhasree@gmail.com ).
Amit Konar is with Jadavpur University, Kolkata, India. (e-mail: konaramit@yahoo.co.in ).
Suman Bhattacharjee is with IBM India Pvt. Ltd (e-mail: suman.only@gmail.com ).

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Cite: Subhasree Bhattacharjee, Amit Konar, and Suman Bhattacharjee, "Throughput Maximization Problem in a Cognitive Radio Network," International Journal of Machine Learning and Computing vol. 1, no. 4, pp. 332-336, 2011.

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