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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Piawaian IEEE 802.16e menggunakan mod penjimatan kuasa (PSM) dengan algoritma eksponen binari terpenggal (TBE) untuk menentukan selang tidur. Walaupun algoritma TBE membenarkan lebih fleksibiliti dalam menentukan selang tidur, ia tidak menganggap kelewatan rangkaian paket tindak balas. Dalam surat ini, kami mencadangkan PSM yang berdasarkan fungsi ketumpatan kebarangkalian bersyarat (c-pdf) untuk masa ketibaan paket tindak balas di stesen pangkalan (BS). Algoritma yang dicadangkan menentukan penempatan selang tidur supaya paket tindak balas boleh tiba di BS semasa setiap selang tidur dengan kebarangkalian bersyarat yang sama. Keputusan menunjukkan bahawa algoritma yang dicadangkan mengatasi algoritma TBE berkenaan dengan kelewatan penimbal paket dalam BS dan penggunaan tenaga stesen mudah alih (MS).
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Salinan
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
Salinan
@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},}
Salinan
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 -