NDLI: Throughput Maximization in Cognitive Radio System with Transmission Probability Scheduling and Traffic Pattern Prediction

Content Provider	Springer Nature Link
Author	Cao, Yang Qu, Daiming Jiang, Tao
Copyright Year	2012
Abstract	In this paper, we propose a novel transmission probability scheduling (TPS) scheme for the opportunistic spectrum access based cognitive radio system (OSA-based CRS), in which the secondary user (SU) optimally schedules its transmission probabilities in the idle period of the primary user (PU), to maximize the throughput of the SU over a single channel when the collision probability perceived by the PU is constrained under a required threshold. Particularly, we first study the maximum achievable throughput of the SU when the proposed TPS scheme is employed under the assumption that the distribution of the PU idle period is known and the spectrum sensing is perfect. When the spectrum sensing at the SU is imperfect, we thoroughly quantify the impact of sensing errors on the SU performance with the proposed TPS scheme. Furthermore, in the situation that the traffic pattern of the PU and its parameters are unknown and the spectrum sensing is imperfect, we propose a predictor based on hidden Markov model (HMM) for the proposed TPS scheme to predict the future PU state. Extensive simulations are conducted and show that the proposed TPS scheme with the HMM-based predictor can achieve a reasonably high SU throughput under the PU collision probability constraint even when the sensing errors are severe.
Starting Page	604
Ending Page	617
Page Count	14
File Format	PDF
ISSN	1383469X
Journal	Mobile Networks and Applications
Volume Number	17
Issue Number	5
e-ISSN	15728153
Language	English
Publisher	Springer US
Publisher Date	2012-03-03
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	opportunistic spectrum access throughput maximization transmission probability scheduling hidden Markov model cognitive radio system Electrical Engineering Computer Communication Networks Business Information Systems Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Hardware and Architecture Software

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

Efficient Spectrum Sensing with Minimum Transmission Delay in Cognitive Radio Networks

Analysis of opportunistic spectrum access in cognitive radio networks using hidden Markov model with state prediction

Cooperative Spectrum Prediction in Multi-PU Multi-SU Cognitive Radio Networks

Cognitive radio sensor networks

Opportunistic Multi-Access: Multiuser Diversity, Relay-Aided Opportunistic Scheduling, and Traffic-Aided Smooth Admission Control

Effective throughput maximization for in-band sensing and transmission in cognitive radio networks

Optimal Channel Probing and Transmission Scheduling for Opportunistic Spectrum Access

Adaptive joint scheduling of spectrum sensing and data transmission in cognitive radio networks

Performance Analysis of Selective Opportunistic Spectrum Access With Traffic Prediction

Throughput Maximization in Cognitive Radio System with Transmission Probability Scheduling and Traffic Pattern Prediction

Similar Documents

Efficient Spectrum Sensing with Minimum Transmission Delay in Cognitive Radio Networks

Analysis of opportunistic spectrum access in cognitive radio networks using hidden Markov model with state prediction

Cooperative Spectrum Prediction in Multi-PU Multi-SU Cognitive Radio Networks

Cognitive radio sensor networks

Opportunistic Multi-Access: Multiuser Diversity, Relay-Aided Opportunistic Scheduling, and Traffic-Aided Smooth Admission Control

Effective throughput maximization for in-band sensing and transmission in cognitive radio networks

Optimal Channel Probing and Transmission Scheduling for Opportunistic Spectrum Access

Adaptive joint scheduling of spectrum sensing and data transmission in cognitive radio networks

Performance Analysis of Selective Opportunistic Spectrum Access With Traffic Prediction

Throughput Maximization in Cognitive Radio System with Transmission Probability Scheduling and Traffic Pattern Prediction