NDLI: Robust Ergodic Uplink Resource Allocation in Underlay OFDMA Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Mokari, N. Parsaeefard, S. Azmi, P. Saeedi, H. Hossian, E.
Copyright Year	2002
Abstract	The ergodic resource allocation (ERA) problem for uplink transmission in underlay cognitive radio networks (CRNs) is investigated. The objective is to maximize the ergodic sum-rate of secondary users (SUs) considering the unavailability of perfect channel state information (CSI), and subject to transmit power limitations of SUs, and the interference threshold constraint to guarantee the quality of service of primary users. Since with average-based formulation of ERA, the interference threshold constraint and transmit power limitations of SUs do not hold instantaneously, one can replace the average-based constraints in ERA with their outage-based counterparts. For the uncertainty on the CSI values, we utilize the robust optimization theory where the uncertain parameters are modeled as a sum of the estimated value and error which is assumed to be bounded. We then map the considered ERA problems to their robust counterparts. Generally, the robust approaches degrade the performance (e.g., sum rate of SU), as they conservatively consider the error to be in the maximum extent and try to preserve the constrains under any condition of error (worst-case scenario). We aim to moderate this effect by using appropriate models for uncertain parameters, relaxing the worst-case scenario, and stochastically preserving the constraints. Moreover, robust problems are in general non-convex and suffer from high computational complexity due to the existence of uncertain system parameters. Therefore, we use effective suboptimal approaches to solve them with a reasonable complexity. This includes methods based on chance constraint approach as well as an iterative scheme. The proposed solutions provide a trade-off between robustness, performance, and complexity. Simulation results reveal that by using the proposed schemes, stable sum-rate of SUs in the presence of CSI uncertainties can be achieved while the instantaneous power and interference constraints are met with a desired probability.
Sponsorship	IEEE Computer Society
Starting Page	419
Ending Page	431
Page Count	13
File Size	694142
File Format	PDF
ISSN	15361233
Volume Number	15
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Uncertainty Resource management Optimization Computational complexity Interference Computational modeling OFDMA Cognitive radio networks ergodic resource allocation imperfect channel state information robust approaches
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Electrical and Electronic Engineering 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

Secure Robust Ergodic Uplink Resource Allocation in Relay-Assisted Cognitive Radio Networks

Chance-constrained optimization of uplink parameters for OFDMA cognitive radios

Robust Distributed Power Control in Cognitive Radio Networks

Resource allocation in OFDMA underlay cognitive radio systems based on Ant Colony Optimization

Distributed subcarrier and power allocation for OFDMA-based cognitive femtocell radio uplink

On Ergodic Sum Capacity of Fading Channels in OFDMA-Based Cognitive Radio Networks

Robust Worst-Case Interference Control in Underlay Cognitive Radio Networks

Multiuser Resource Allocation Optimization Using Bandwidth-Power Product in Cognitive Radio Networks

Quantized Ergodic Radio Resource Allocation in OFDMA-Based Cognitive DF Relay-Assisted Networks

Robust Ergodic Uplink Resource Allocation in Underlay OFDMA Cognitive Radio Networks

Similar Documents

Secure Robust Ergodic Uplink Resource Allocation in Relay-Assisted Cognitive Radio Networks

Chance-constrained optimization of uplink parameters for OFDMA cognitive radios

Robust Distributed Power Control in Cognitive Radio Networks

Resource allocation in OFDMA underlay cognitive radio systems based on Ant Colony Optimization

Distributed subcarrier and power allocation for OFDMA-based cognitive femtocell radio uplink

On Ergodic Sum Capacity of Fading Channels in OFDMA-Based Cognitive Radio Networks

Robust Worst-Case Interference Control in Underlay Cognitive Radio Networks

Multiuser Resource Allocation Optimization Using Bandwidth-Power Product in Cognitive Radio Networks

Quantized Ergodic Radio Resource Allocation in OFDMA-Based Cognitive DF Relay-Assisted Networks

Robust Ergodic Uplink Resource Allocation in Underlay OFDMA Cognitive Radio Networks