Result: Combinatorial Orthogonal Beamforming for Joint Processing and Transmission

Title:
Combinatorial Orthogonal Beamforming for Joint Processing and Transmission
Authors:
HOJAE LEE, SEONGHYUN KIM, SANGHOON LEE
Source:
IEEE transactions on communications. 62(2):625-637
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2014.
Publication Year:
2014
Physical Description:
print, 33 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), Radiocommunications, Emetteurs. Récepteurs, Transmitters. Receivers, Traitement signal, Signal processing, Procesamiento señal, Accès multiple, Multiple access, Acceso múltiple, Algorithme, Algorithm, Algoritmo, Complexité calcul, Computational complexity, Complejidad computación, Débit information, Information rate, Índice información, Emetteur, Transmitter, Emisor, Equité, Equity, Equidad, Evaluation performance, Performance evaluation, Evaluación prestación, Formation voie, Beam forming, Formación haz, Interférence intercellulaire, Intercell interference, Interferencia intercelular, Méthode combinatoire, Combinatorial method, Método combinatorio, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Planification optimale, Optimal planning, Planificación óptima, Rétroaction, Feedback regulation, Retroacción, Simulation, Simulación, Système MIMO, MIMO system, Sistema MIMO, Transmission information, Information transmission, Transmisión información, Multiuser MIMO, combinatorial orthogonal beamforming (COBF), coordinated multiple point transmission (CoMP), generalized beam assigning problem (GBAP), joint processing and transmission (JPT), orthogonal beamforming
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea, Republic of
ISSN:
0090-6778
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28322531
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.28322531
Database:
PASCAL Archive

Further Information

Coordinated multiple point transmission (CoMP) technologies have recently been proposed to improve the performance of cell-edge users who suffer strong inter-cell interference. Nevertheless, as more transmitters get involved in cooperation, the complexity associated with the selection of multi-dimensional parameters increases exponentially. In this work, we investigate efficient multi-cell cooperation based on CoMP-joint processing and transmission (CoMP-JPT) with orthogonal beamforming using limited feedback. Through the utilization of combinatorial optimization, optimal user scheduling for joint transmission via multiple transmitters is accomplished, while the computational complexity is significantly reduced. In particular, a generalized beam assignment problem (GBAP) is formulated and solved using a combinatorial algorithm that is generalized in terms of the number of transmitters |B|. The performance of the combinatorial orthogonal beamforming (COBF) scheme is mathematically analyzed so as to demonstrate its superiority and capability to maintain fairness among users in a multi-cell environment. In the simulation results, a performance gain of more than 50% for cell-edge users is obtained without a loss in the average throughput for the total number of users. In addition, the COBF method can reduce the complexity by more than 60% when compared to the conventional exhaustive search technique.