Result: Max-Min Energy Efficient Beamforming for Multicell Multiuser Joint Transmission Systems

Title:
Max-Min Energy Efficient Beamforming for Multicell Multiuser Joint Transmission Systems
Authors:
SHIWEN HE, YONGMING HUANG, SHI JIN, FEI YU, LUXI YANG
Source:
IEEE communications letters. 17(10):1956-1959
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2013.
Publication Year:
2013
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Subject Terms:
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, Signal, bruit, Signal, noise, Détection, estimation, filtrage, égalisation, prédiction, Detection, estimation, filtering, equalization, prediction, 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), Traitement signal, Signal processing, Procesamiento señal, Accès multiple, Multiple access, Acceso múltiple, Algorithme, Algorithm, Algoritmo, Consommation électricité, Electric power consumption, Consumo electricidad, Electronique faible puissance, Low-power electronics, Energie minimale, Minimum energy, Energía mínima, Equité, Equity, Equidad, Erreur quadratique moyenne, Mean square error, Error medio cuadrático, Evaluation performance, Performance evaluation, Evaluación prestación, Formation voie, Beam forming, Formación haz, Méthode itérative, Iterative method, Método iterativo, Optimisation, Optimization, Optimización, Performance algorithme, Algorithm performance, Resultado algoritmo, Problème maximin, Maximin problem, Problema maximin, Programmation non convexe, Non convex programming, Programación no convexa, Rendement énergétique, Energetic efficiency, Rendimiento energético, Simulation numérique, Numerical simulation, Simulación numérica, Système télécommunication, Telecommunication system, Sistema telecomunicación, Taux convergence, Convergence rate, Relación convergencia, Technologie communication, Communication technology, Tecnología comunicacíon, Télécommunication sans fil, Wireless telecommunication, Telecomunicación sin hilo, Multicell beamforming, energy efficient communication, user fairness
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
School of Information Science and Engineering, Southeast University, Nanjing 210096, China
Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, China
ISSN:
1089-7798
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=27888325
Rights:
Copyright 2014 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.27888325
Database:
PASCAL Archive

Further Information

Energy efficient communication technology has attracted much attention due to the explosive growth of energy consumption in current wireless communication systems. In this letter we focus on fairness-based energy efficiency and aim to maximize the minimum user energy efficiency in the multicell multiuser joint beamforming system, taking both dynamic and static power consumptions into account. This optimization problem is a non-convex fractional programming problem and hard to tackle. In order to find its solution, the original problem is transformed into a parameterized polynomial subtractive form by exploiting the relationship between the user rate and the minimum mean square error, and using the fractional programming theorem. An iterative algorithm with proved convergence is then developed to achieve a near-optimal performance. Numerical results validate the effectiveness of the proposed solution and show that our algorithm significantly outperforms the max-min rate optimization algorithm in terms of maximizing the minimum energy efficiency.