Inspired by the success of the low-density parity-check (LDPC) codes in the field of error-control coding, in this paper we propose transforming the downlink multiuser multiple-input multiple-output scheduling problem into an LDPC-like problem using the normal graph. Based on the normal graph framework, soft information, which indicates the probability that each user will be scheduled to transmit packets at the access point through a specified angle-frequency sub-channel, is exchanged among the local processors to iteratively optimize the multiuser transmission schedule. Computer simulations show that the proposed algorithm can efficiently schedule simultaneous multiuser transmission which then increases the overall channel utilization and reduces the average packet delay.
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Jung-Chieh CHEN, Cheng-Hsuan WU, Yao-Nan LEE, Chao-Kai WEN, "An Efficient Downlink Scheduling Strategy Using Normal Graphs for Multiuser MIMO Wireless Systems" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 2, pp. 562-566, February 2008, doi: 10.1093/ietcom/e91-b.2.562.
Abstract: Inspired by the success of the low-density parity-check (LDPC) codes in the field of error-control coding, in this paper we propose transforming the downlink multiuser multiple-input multiple-output scheduling problem into an LDPC-like problem using the normal graph. Based on the normal graph framework, soft information, which indicates the probability that each user will be scheduled to transmit packets at the access point through a specified angle-frequency sub-channel, is exchanged among the local processors to iteratively optimize the multiuser transmission schedule. Computer simulations show that the proposed algorithm can efficiently schedule simultaneous multiuser transmission which then increases the overall channel utilization and reduces the average packet delay.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.2.562/_p
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@ARTICLE{e91-b_2_562,
author={Jung-Chieh CHEN, Cheng-Hsuan WU, Yao-Nan LEE, Chao-Kai WEN, },
journal={IEICE TRANSACTIONS on Communications},
title={An Efficient Downlink Scheduling Strategy Using Normal Graphs for Multiuser MIMO Wireless Systems},
year={2008},
volume={E91-B},
number={2},
pages={562-566},
abstract={Inspired by the success of the low-density parity-check (LDPC) codes in the field of error-control coding, in this paper we propose transforming the downlink multiuser multiple-input multiple-output scheduling problem into an LDPC-like problem using the normal graph. Based on the normal graph framework, soft information, which indicates the probability that each user will be scheduled to transmit packets at the access point through a specified angle-frequency sub-channel, is exchanged among the local processors to iteratively optimize the multiuser transmission schedule. Computer simulations show that the proposed algorithm can efficiently schedule simultaneous multiuser transmission which then increases the overall channel utilization and reduces the average packet delay.},
keywords={},
doi={10.1093/ietcom/e91-b.2.562},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - An Efficient Downlink Scheduling Strategy Using Normal Graphs for Multiuser MIMO Wireless Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 562
EP - 566
AU - Jung-Chieh CHEN
AU - Cheng-Hsuan WU
AU - Yao-Nan LEE
AU - Chao-Kai WEN
PY - 2008
DO - 10.1093/ietcom/e91-b.2.562
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2008
AB - Inspired by the success of the low-density parity-check (LDPC) codes in the field of error-control coding, in this paper we propose transforming the downlink multiuser multiple-input multiple-output scheduling problem into an LDPC-like problem using the normal graph. Based on the normal graph framework, soft information, which indicates the probability that each user will be scheduled to transmit packets at the access point through a specified angle-frequency sub-channel, is exchanged among the local processors to iteratively optimize the multiuser transmission schedule. Computer simulations show that the proposed algorithm can efficiently schedule simultaneous multiuser transmission which then increases the overall channel utilization and reduces the average packet delay.
ER -