NDLI: Particle Swarm Optimization (PSO) of power allocation in cognitive radio systems with interference constraints

Content Provider	IEEE Xplore Digital Library
Author	Motiian, S. Aghababaie, M. Soltanian-Zadeh, H.
Copyright Year	2011
Description	Author affiliation: Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, Colleague of Engineering, University of Tehran, Tehran 14399-57131, Iran (Motiian, S.; Aghababaie, M.; Soltanian-Zadeh, H.)
Abstract	Cognitive radio is used for enhancement of spectrum efficiency. Although many works have been accomplished on the power allocation of cognitive radio, limited efforts have considered evolutionary algorithms. In this paper, we study this problem in the cognitive radio networks where interference constraints are defined for protection of quality of service (QoS) for both primary and secondary users. Utilities defined as functions of the signal-to-interference-plus-noise ratio (SINR) are matched for each secondary user which meets Nash's axioms. In general, the region of utilities that meets the constraints is non-convex. It is possible to make simplifications, generate a convex region, and then use common convex optimization approaches to obtain a solution. However, Particle Swarm Optimization (PSO) does not need such simplifications and thus its results are superior to those of the convex optimization methods. PSO is an evolutionary algorithm based on social intelligence, utilized in many optimization problems. PSO is a global optimizations algorithm that does not require the objective function be differentiable as required in classic optimization methods.
Starting Page	558
Ending Page	562
File Size	281762
Page Count	5
File Format	PDF
ISBN	9781612841588
e-ISBN	9781612841595
DOI	10.1109/ICBNMT.2011.6155997
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Quality of service Particle Swarm Optimization (PSO) Cognitive radio Resource management Particle swarm optimization Power allocation Optimization Signal to noise ratio
Content Type	Text
Resource Type	Article

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

Resource allocation for cognitive radio network using particle swarm optimization

Co-channel interference constrained spectrum allocation with simultaneous power and network capacity optimization using PSO in Cognitive Radio Network

Power allocation in underlay cognitive radio systems with feasibility detection

Channel and power allocation in cognitive radio networks

PSO-Based OFDM Adaptive Power and Bit Allocation for Multiuser Cognitive Radio System

Power allocation with max-min fairness for cognitive radio networks

Dual QoS driven power allocation in MIMO cognitive network with limited feedback

Resource allocation algorithm for uplink OFDMA-based cognitive radio systems

Interference management in cognitive radio systems — A convex optimisation approach

Particle Swarm Optimization (PSO) of power allocation in cognitive radio systems with interference constraints

Similar Documents

Resource allocation for cognitive radio network using particle swarm optimization

Co-channel interference constrained spectrum allocation with simultaneous power and network capacity optimization using PSO in Cognitive Radio Network

Power allocation in underlay cognitive radio systems with feasibility detection

Channel and power allocation in cognitive radio networks

PSO-Based OFDM Adaptive Power and Bit Allocation for Multiuser Cognitive Radio System

Power allocation with max-min fairness for cognitive radio networks

Dual QoS driven power allocation in MIMO cognitive network with limited feedback

Resource allocation algorithm for uplink OFDMA-based cognitive radio systems

Interference management in cognitive radio systems — A convex optimisation approach

Particle Swarm Optimization (PSO) of power allocation in cognitive radio systems with interference constraints