Title :
Online dynamic resource allocation in interference temperature constrained cognitive radio network using reinforcement learning
Author :
Maulik, S. ; Roy, Ranjit ; De, Avik ; Bhatttacharya, A.
Author_Institution :
Dept. of E & ECE, Indian Inst. of Technol., Kharagpur, India
Abstract :
This paper focuses on the allocation of spectrum and power in the cognitive radio devices in the wireless network. This new approach suggests a learning procedure of allocating spectrum to the unlicensed users dynamically. This article also highlights learning procedure of allocating power for increasing the throughput ratio, considering the interference issues into account. The learning automata model is used to allocate spectrum and power to transceivers.
Keywords :
cognitive radio; learning automata; radio transceivers; radiofrequency interference; resource allocation; cognitive radio network; interference temperature constraint; learning automata model; online dynamic resource allocation; radio transceivers; reinforcement learning; spectrum allocation; throughput ratio; unlicensed users; Automata; Cognitive radio; Convergence; Interference; Learning automata; Resource management; Cognitive Radio; Interference Temperature; Power Allocation; Reward-inaction model; Signal to interference ratio; Spectrum allocation; hierarchical learning automata; learning automata;
Conference_Titel :
Signal Processing and Communications (SPCOM), 2012 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4673-2013-9
DOI :
10.1109/SPCOM.2012.6290043
