NDLI: Accurate and Efficient Algorithms for Cognitive Radio Modeling Applications Under the i.n.i.d. Paradigm

Content Provider	IEEE Xplore Digital Library
Author	Amich, A. Imran, M.A. Tafazolli, R. Cheraghi, P.
Copyright Year	1967
Abstract	Given that the statistical analysis of the frequency band of interest are available, it has been shown that adaptive searching for white spaces could improve by 70% when compared with random searching. In this paper, we characterize and provide a statistical estimation of the number of channels available for opportunistic usage by secondary users (SUs) in a spectrum band. However, following the independent but not identically distributed (i.n.i.d.) paradigm, predicting the exact distribution of the count of available channels is not only computationally intense due to the number of combinations but infeasible in practice, as well, even for frequency bands with a moderate number of channels. Existing research has resorted to approximations that lacked accuracy and efficiency. To resolve this problem, we propose three novel methods based on convolution, recursive, and hybrid convolution-recursive methods that can efficiently compute the exact distribution in frequency bands with a large number of channels. We assess their efficiency by analyzing each algorithm's time complexity and running time and then further comparing their performance against existing models in the literature. Moreover, knowing the availability of the channel's immediate neighbors can allow efficient power management and prioritize channel allocation to SUs. Therefore, we categorize available channels into three different types based on the occupancy of its two adjacent channels and then model their availability. Additionally, from a network performance analysis perspective, predicting the count of available channels has to be evaluated against the probability of detecting these channels within the same i.n.i.d. framework. Respectively, we propose a novel approach to calculate the probability of detecting multiple channels simultaneously. Finally, we validate the effectiveness of the proposed models using several real-time measurements and further present two associated applications where one features novel 2-D (time and frequency) availability prediction.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	1750
Ending Page	1765
Page Count	16
File Size	1818811
File Format	PDF
ISSN	00189545
Volume Number	64
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Computational modeling Sensors Complexity theory Approximation methods Real-time systems Channel estimation spectrum availability modeling Channel availability cognitive radio (CR) energy efficiency exact distribution IEEE 802.22 modeling algorithms modeling techniques
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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