Author
Ercan, Ali Özer, Sunay, Mehmet Oğuz
Publication Date
2016-01
Publication Place
-
Elsevier
Subject
Cognitive radio, Multiaccess communication, Opportunistic multiple access
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1570-8705
Record ID
a18c2662-6d50-4673-bf54-8dba22481e4e
Library Location
Electrical & Electronics Engineering, Computer Science
Date
2016-01
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
This paper presents a new, joint Markov chain model for the primary and secondary traffic in a cognitive radio network to assess the feasibility of opportunistic spectrum access for different operational scenarios, validated by extensive realistic Monte-Carlo simulations. Enhancing on the current literature, the generalized model allows for the consideration of a retransmission-based traffic as well as the presence of transmission queues for the primary user. The generalized model also allows for the investigation of the system behavior in the presence of imperfect sensing at the secondary users. The presented model is applicable for all primary user traffic models that use discrete-time Markov chains. An infinitely backlogged secondary user network is considered to investigate the maximum possible network utilization. The paper concludes that a percentile channel occupation of the primary user on its own is not always a sufficient metric to assess whether secondary transmission is feasible. It is shown that the interplay between primary network traffic characteristics, as well as the sensing frequency and probabilities of missed detection and false alarm for the secondary network detector are of primal importance for such feasibility claims. The results reveal that the preferred sensing frequency for the secondary users is a function of the primary user traffic pattern and that the commonly used frequency of sensing every transmission slot is not always optimal. The results also show that when sensing frequency is low, secondary utilization decreases with more bursty primary traffic, whereas the impact on primary utilization becomes less.
DOI
10.1016/j.adhoc.2015.08.012
Cilt
36
