Optimal sum rate-fairness tradeoff for MISO broadcast communication using zero forcing DPC

Yu Ting Cheng; Hsiao Feng Lu

doi:10.1109/VTCFall.2019.8891476

Optimal sum rate-fairness tradeoff for MISO broadcast communication using zero forcing DPC

Yu Ting Cheng, Hsiao Feng Lu

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Based on a recently proposed L_1-norm quantitive fairness measure, the optimal tradeoff between sum rate and fairness for MISO downlink communication employing zero-forcing dirty paper coding is provided in this paper. The corresponding achievable schemes are also given for every point lying on the tradeoff. In particular, a novel power allocation scheme that takes into account both sum rate and fairness is proposed. Compared to the popular approach of proportional fairness, simulation results show that the new scheme can significantly and simultaneously improve upon the achieved sum rate and fairness.

Original language	American English
DOIs	https://doi.org/10.1109/VTCFall.2019.8891476
State	Published - Sep 2019
Event	90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States Duration: 22 Sep 2019 → 25 Sep 2019

Conference

Conference	90th IEEE Vehicular Technology Conference, VTC 2019 Fall
Country/Territory	United States
City	Honolulu
Period	22/09/19 → 25/09/19

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10.1109/VTCFall.2019.8891476

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title = "Optimal sum rate-fairness tradeoff for MISO broadcast communication using zero forcing DPC",

abstract = "Based on a recently proposed L_1-norm quantitive fairness measure, the optimal tradeoff between sum rate and fairness for MISO downlink communication employing zero-forcing dirty paper coding is provided in this paper. The corresponding achievable schemes are also given for every point lying on the tradeoff. In particular, a novel power allocation scheme that takes into account both sum rate and fairness is proposed. Compared to the popular approach of proportional fairness, simulation results show that the new scheme can significantly and simultaneously improve upon the achieved sum rate and fairness.",

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AB - Based on a recently proposed L_1-norm quantitive fairness measure, the optimal tradeoff between sum rate and fairness for MISO downlink communication employing zero-forcing dirty paper coding is provided in this paper. The corresponding achievable schemes are also given for every point lying on the tradeoff. In particular, a novel power allocation scheme that takes into account both sum rate and fairness is proposed. Compared to the popular approach of proportional fairness, simulation results show that the new scheme can significantly and simultaneously improve upon the achieved sum rate and fairness.

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Optimal sum rate-fairness tradeoff for MISO broadcast communication using zero forcing DPC

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