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
O padrão IEEE 802.16e adota um modo de economia de energia (PSM) com um algoritmo de expoente binário truncado (TBE) para determinar intervalos de suspensão. Embora o algoritmo TBE permita mais flexibilidade na determinação dos intervalos de sono, ele não considera o atraso de rede de um pacote de resposta. Nesta carta, sugerimos PSM que se baseia na função de densidade de probabilidade condicional (c-pdf) para o tempo de chegada do pacote de resposta na estação base (BS). O algoritmo proposto determina o posicionamento do intervalo de sono de forma que o pacote de resposta possa chegar à BS durante cada intervalo de sono com a mesma probabilidade condicional. Os resultados mostram que o algoritmo proposto supera o algoritmo TBE no que diz respeito ao atraso de buffer de pacotes na BS e ao consumo de energia de uma estação móvel (MS).
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Jung-Ryun REE, Jeong Woo LEE, "A Probabilistic Approach for the Determination of Sleep Interval in IEEE 802.16e" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 8, pp. 2743-2746, August 2009, doi: 10.1587/transcom.E92.B.2743.
Abstract: The IEEE 802.16e standard adopts a power-saving mode (PSM) with a truncated binary exponent (TBE) algorithm for determining sleep intervals. Although the TBE algorithm allows more flexibility in determining sleep intervals, it does not consider the network delay of a response packet. In this letter, we suggest PSM that is based on the conditional probability density function (c-pdf) for the response packet's arrival time at the base station (BS). The proposed algorithm determines sleep interval placement so that the response packet may arrive at the BS during each sleep interval with the same conditional probability. The results show that the proposed algorithm outperforms the TBE algorithm with respect to the packet-buffering delay in the BS and the energy consumption of a mobile station (MS).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2743/_p
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@ARTICLE{e92-b_8_2743,
author={Jung-Ryun REE, Jeong Woo LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={A Probabilistic Approach for the Determination of Sleep Interval in IEEE 802.16e},
year={2009},
volume={E92-B},
number={8},
pages={2743-2746},
abstract={The IEEE 802.16e standard adopts a power-saving mode (PSM) with a truncated binary exponent (TBE) algorithm for determining sleep intervals. Although the TBE algorithm allows more flexibility in determining sleep intervals, it does not consider the network delay of a response packet. In this letter, we suggest PSM that is based on the conditional probability density function (c-pdf) for the response packet's arrival time at the base station (BS). The proposed algorithm determines sleep interval placement so that the response packet may arrive at the BS during each sleep interval with the same conditional probability. The results show that the proposed algorithm outperforms the TBE algorithm with respect to the packet-buffering delay in the BS and the energy consumption of a mobile station (MS).},
keywords={},
doi={10.1587/transcom.E92.B.2743},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - A Probabilistic Approach for the Determination of Sleep Interval in IEEE 802.16e
T2 - IEICE TRANSACTIONS on Communications
SP - 2743
EP - 2746
AU - Jung-Ryun REE
AU - Jeong Woo LEE
PY - 2009
DO - 10.1587/transcom.E92.B.2743
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2009
AB - The IEEE 802.16e standard adopts a power-saving mode (PSM) with a truncated binary exponent (TBE) algorithm for determining sleep intervals. Although the TBE algorithm allows more flexibility in determining sleep intervals, it does not consider the network delay of a response packet. In this letter, we suggest PSM that is based on the conditional probability density function (c-pdf) for the response packet's arrival time at the base station (BS). The proposed algorithm determines sleep interval placement so that the response packet may arrive at the BS during each sleep interval with the same conditional probability. The results show that the proposed algorithm outperforms the TBE algorithm with respect to the packet-buffering delay in the BS and the energy consumption of a mobile station (MS).
ER -