DocumentCode :
1483388
Title :
Throughput Analysis of Opportunistic Access Strategies in Hybrid Underlay—Overlay Cognitive Radio Networks
Author :
Senthuran, S. ; Anpalagan, A. ; Das, O.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Volume :
11
Issue :
6
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
2024
Lastpage :
2035
Abstract :
In cognitive radio networks, it is important to effectively use the under-utilized spectrum resources without affecting the primary users. In an underlay system, secondary users are allowed to share the channel simultaneously with primary users (with the restriction on interference level) but not in an overlay system. In this article, we consider a system where a secondary user can switch between overlay and underlay modes of operation in order to improve its throughput with limited sensing capability (i.e. sensing only one channel at a time). The results based on Markov chain analysis are satisfactorily verified using Monte-Carlo simulation. It is found that proper selection of transmission mode can provide greater improvement in throughput for a secondary user. The mode selection depends on the transition characteristics of primary users and the throughput ratio between the two modes of operation.
Keywords :
Markov processes; Monte Carlo methods; cognitive radio; Markov chain analysis; Monte-Carlo simulation; channel sharing; hybrid underlay-overlay cognitive radio networks; interference level; opportunistic access strategies; primary user transition characteristic; secondary users; sensing capability; throughput analysis; throughput ratio; transmission mode; under-utilized spectrum resources; Cognitive radio; Interference; Markov processes; Sensors; Steady-state; Switches; Throughput; POMDP; cognitive radio; interweave; opportunistic access; overlay; underlay;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2012.032712.101209
Filename :
6177979
Link To Document :
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