The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un schéma de planification de multiplexage parallèle (PMS) est proposé pour les systèmes d'antennes distribuées (DAS), qui améliore considérablement le débit moyen du système en raison de la diversité multi-utilisateurs et du multiplexage multi-utilisateurs. Cependant, PMS manque d'équité en raison de l'utilisation des critères de « meilleure sélection de canal » dans le planificateur. Ainsi, nous présentons un schéma parallèle de planification équitable proportionnelle (PPFS), qui combine le PMS avec la planification équitable proportionnelle (PFS) pour obtenir un compromis entre le débit moyen et l'équité. Dans PPFS, le « rapport signal/bruit relatif (SNR) » est utilisé comme métrique pour sélectionner l'utilisateur au lieu du « débit relatif » dans le PFS d'origine. Et seules les informations partielles sur l'état du canal (CSI) sont renvoyées à la station de base (BS) dans PPFS. De plus, plusieurs utilisateurs sont sélectionnés pour transmettre simultanément à chaque emplacement dans PPFS, alors qu'un seul utilisateur occupe toutes les ressources de canal à chaque emplacement dans PFS. Par conséquent, PPFS améliore considérablement les performances d’équité du PMS avec une perte relativement faible de débit moyen par rapport au PFS.
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Zhanjun JIANG, Jiang WU, Dongming WANG, Xiaohu YOU, "Parallel Proportion Fair Scheduling in DAS with Partial Channel State Information" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 6, pp. 2312-2315, June 2009, doi: 10.1587/transcom.E92.B.2312.
Abstract: A parallel multiplexing scheduling (PMS) scheme is proposed for distributed antenna systems (DAS), which greatly improves average system throughput due to multi-user diversity and multi-user multiplexing. However, PMS has poor fairness because of the use of the "best channel selection" criteria in the scheduler. Thus we present a parallel proportional fair scheduling (PPFS) scheme, which combines PMS with proportional fair scheduling (PFS) to achieve a tradeoff between average throughput and fairness. In PPFS, the "relative signal to noise ratio (SNR)" is employed as a metric to select the user instead of the "relative throughput" in the original PFS. And only partial channel state information (CSI) is fed back to the base station (BS) in PPFS. Moreover, there are multiple users selected to transmit simultaneously at each slot in PPFS, while only one user occupies all channel resources at each slot in PFS. Consequently, PPFS improves fairness performance of PMS greatly with a relatively small loss of average throughput compared to PFS.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2312/_p
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@ARTICLE{e92-b_6_2312,
author={Zhanjun JIANG, Jiang WU, Dongming WANG, Xiaohu YOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Parallel Proportion Fair Scheduling in DAS with Partial Channel State Information},
year={2009},
volume={E92-B},
number={6},
pages={2312-2315},
abstract={A parallel multiplexing scheduling (PMS) scheme is proposed for distributed antenna systems (DAS), which greatly improves average system throughput due to multi-user diversity and multi-user multiplexing. However, PMS has poor fairness because of the use of the "best channel selection" criteria in the scheduler. Thus we present a parallel proportional fair scheduling (PPFS) scheme, which combines PMS with proportional fair scheduling (PFS) to achieve a tradeoff between average throughput and fairness. In PPFS, the "relative signal to noise ratio (SNR)" is employed as a metric to select the user instead of the "relative throughput" in the original PFS. And only partial channel state information (CSI) is fed back to the base station (BS) in PPFS. Moreover, there are multiple users selected to transmit simultaneously at each slot in PPFS, while only one user occupies all channel resources at each slot in PFS. Consequently, PPFS improves fairness performance of PMS greatly with a relatively small loss of average throughput compared to PFS.},
keywords={},
doi={10.1587/transcom.E92.B.2312},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Parallel Proportion Fair Scheduling in DAS with Partial Channel State Information
T2 - IEICE TRANSACTIONS on Communications
SP - 2312
EP - 2315
AU - Zhanjun JIANG
AU - Jiang WU
AU - Dongming WANG
AU - Xiaohu YOU
PY - 2009
DO - 10.1587/transcom.E92.B.2312
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2009
AB - A parallel multiplexing scheduling (PMS) scheme is proposed for distributed antenna systems (DAS), which greatly improves average system throughput due to multi-user diversity and multi-user multiplexing. However, PMS has poor fairness because of the use of the "best channel selection" criteria in the scheduler. Thus we present a parallel proportional fair scheduling (PPFS) scheme, which combines PMS with proportional fair scheduling (PFS) to achieve a tradeoff between average throughput and fairness. In PPFS, the "relative signal to noise ratio (SNR)" is employed as a metric to select the user instead of the "relative throughput" in the original PFS. And only partial channel state information (CSI) is fed back to the base station (BS) in PPFS. Moreover, there are multiple users selected to transmit simultaneously at each slot in PPFS, while only one user occupies all channel resources at each slot in PFS. Consequently, PPFS improves fairness performance of PMS greatly with a relatively small loss of average throughput compared to PFS.
ER -