Both multiplexing and multi-user diversity are exploited based on Round Robin (RR) scheduling to achieve tradeoffs between average throughput and fairness in distributed antenna systems (DAS). Firstly, a parallel Round Robin (PRR) scheduling scheme is presented based on the multi-user multiplexing in spatial domain to enhance the throughput, which inherits the excellent fairness performance of RR. Then a parallel grouping Round Robin (PGRR) is proposed to exploit multi-user diversity based on PRR. Due to the integration of multi-user diversity and multi-user multiplexing, a great improvement of throughput is achieved in PGRR. However, the expense of the improvement is at the degradation of fairness since the "best channel criteria" is used in PGRR. Simulations verify analysis conclusions and show that tradeoffs between throughput and fairness can be achieved in PGRR.
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Zhanjun JIANG, Dongming WANG, Xiaohu YOU, "Tradeoffs between Throughput and Fairness of Parallel Round Robin Scheduling in DAS" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 12, pp. 3530-3533, December 2010, doi: 10.1587/transcom.E93.B.3530.
Abstract: Both multiplexing and multi-user diversity are exploited based on Round Robin (RR) scheduling to achieve tradeoffs between average throughput and fairness in distributed antenna systems (DAS). Firstly, a parallel Round Robin (PRR) scheduling scheme is presented based on the multi-user multiplexing in spatial domain to enhance the throughput, which inherits the excellent fairness performance of RR. Then a parallel grouping Round Robin (PGRR) is proposed to exploit multi-user diversity based on PRR. Due to the integration of multi-user diversity and multi-user multiplexing, a great improvement of throughput is achieved in PGRR. However, the expense of the improvement is at the degradation of fairness since the "best channel criteria" is used in PGRR. Simulations verify analysis conclusions and show that tradeoffs between throughput and fairness can be achieved in PGRR.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3530/_p
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@ARTICLE{e93-b_12_3530,
author={Zhanjun JIANG, Dongming WANG, Xiaohu YOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Tradeoffs between Throughput and Fairness of Parallel Round Robin Scheduling in DAS},
year={2010},
volume={E93-B},
number={12},
pages={3530-3533},
abstract={Both multiplexing and multi-user diversity are exploited based on Round Robin (RR) scheduling to achieve tradeoffs between average throughput and fairness in distributed antenna systems (DAS). Firstly, a parallel Round Robin (PRR) scheduling scheme is presented based on the multi-user multiplexing in spatial domain to enhance the throughput, which inherits the excellent fairness performance of RR. Then a parallel grouping Round Robin (PGRR) is proposed to exploit multi-user diversity based on PRR. Due to the integration of multi-user diversity and multi-user multiplexing, a great improvement of throughput is achieved in PGRR. However, the expense of the improvement is at the degradation of fairness since the "best channel criteria" is used in PGRR. Simulations verify analysis conclusions and show that tradeoffs between throughput and fairness can be achieved in PGRR.},
keywords={},
doi={10.1587/transcom.E93.B.3530},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Tradeoffs between Throughput and Fairness of Parallel Round Robin Scheduling in DAS
T2 - IEICE TRANSACTIONS on Communications
SP - 3530
EP - 3533
AU - Zhanjun JIANG
AU - Dongming WANG
AU - Xiaohu YOU
PY - 2010
DO - 10.1587/transcom.E93.B.3530
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2010
AB - Both multiplexing and multi-user diversity are exploited based on Round Robin (RR) scheduling to achieve tradeoffs between average throughput and fairness in distributed antenna systems (DAS). Firstly, a parallel Round Robin (PRR) scheduling scheme is presented based on the multi-user multiplexing in spatial domain to enhance the throughput, which inherits the excellent fairness performance of RR. Then a parallel grouping Round Robin (PGRR) is proposed to exploit multi-user diversity based on PRR. Due to the integration of multi-user diversity and multi-user multiplexing, a great improvement of throughput is achieved in PGRR. However, the expense of the improvement is at the degradation of fairness since the "best channel criteria" is used in PGRR. Simulations verify analysis conclusions and show that tradeoffs between throughput and fairness can be achieved in PGRR.
ER -