Treffer: Power allocation in multiple-input multiple-output orthogonal frequency division multiplexing-based cognitive radio networks

Title:
Power allocation in multiple-input multiple-output orthogonal frequency division multiplexing-based cognitive radio networks
Authors:
SHAHRAKI, H. S, MOHAMED-POUR, K
Source:
IET communications (Print). 5(3):362-370
Publisher Information:
Stevenage: Institution of Engineering and Technology, 2011.
Publication Year:
2011
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Multiplexage, Multiplexing, Télécommunications, Telecommunications, Systèmes, réseaux et services de télécommunications, Systems, networks and services of telecommunications, Transmission et modulation (techniques et équipements), Transmission and modulation (techniques and equipments), Radiocommunications, Antennes, Antennas, Techniques spécifiques de radiocommunications, Radiocommunication specific techniques, Algorithme, Algorithm, Algoritmo, Allocation optimale, Optimal allocation, Asignación óptima, Allocation puissance, Power allocation, Asignación potencia, Antenne émettrice, Transmitting antenna, Antena emisión, Bande S, S band, Banda S, Capacité canal, Channel capacity, Capacidad canal, Complexité algorithme, Algorithm complexity, Complejidad algoritmo, Evaluation performance, Performance evaluation, Evaluación prestación, Multiplexage fréquence orthogonal, Orthogonal frequency division multiplexing, Multiplaje frecuencia ortogonal, Planification optimale, Optimal planning, Planificación óptima, Porteuse multiple, Multicarrier, Multiportadura, Radio logicielle, Software radio, Radio logicial, Radiocommunication, Radio communication, Radiocomunicación, Simulation, Simulación, Sous porteuse, Subcarrier, Subportadora, Système MIMO, MIMO system, Sistema MIMO, Système hybride, Hybrid system, Sistema híbrido, Réseau d'antennes, Antenna array
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran, Islamic Republic of
ISSN:
1751-8628
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=23902094
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.23902094
Database:
PASCAL Archive

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Multi-carrier systems are one of the best candidates for applying in cognitive radio (CR) networks because of the spectrum shaping and high adaptive capabilities. Since secondary users (SUs) in this structure use a limited number of sub-carriers because of deactivation of the primary users' (PUs) band, the total capacity of CR networks is limited. On the other hand, multiple transmit antennas can be applied to orthogonal frequency division multiplexing (OFDM)-based CR in order to compensate this capacity leakage. This study aims to investigate multiple-input multiple-output (MIMO)-OFDM as one of the best hybrid multicarrier systems, as a physical layer of CR networks. Considering different conditions to obtain maximum total capacity of CR networks, an optimal power allocation algorithm is scrutinised. Theoretically, it is shown that this proposed algorithm can maximise the total capacity and at the same time, keep the caused interference in PUs' bands in a tolerable range. To simplify the algorithm complexity, we also propose a sub-optimal scheme. The simulation results of the new algorithms are compared with previous methods, which present the enhancement and efficiency of the proposed algorithms. Furthermore, the simulation results show that our proposed schemes can load more power into the CR user's band in order to achieve higher transmission capacity for a given interference threshold.