Power Allocation in Downlink PDMA Systems

Mingyao Peng; Jie Zeng; Xin Su; Bei Liu; Limin Xiao

doi:10.1109/GLOCOM.2018.8647283

Power Allocation in Downlink PDMA Systems

Mingyao Peng, Jie Zeng, Xin Su, Bei Liu, Limin Xiao

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Pattern division multiple access (PDMA) is a multi- carrier non-orthogonal multiple access (NOMA), which can meet the requirements of massive user connections and super-high data rate in the fifth generation (5G) wireless networks. In this paper, we work on the optimization of power allocation to improve the performance of the downlink PDMA system significantly. Considering the perfect channel state information (CSI) is acquired at the transmitter, we propose an iterative power allocation (IPA) scheme based on the integration of the iterative subgradient method and the Mann iterative method. Moreover, Lagrange multipliers and the allocated power are updated until converged in each iteration. It is demonstrated in simulation results that the achievable sum throughput superiority of our proposed scheme over other schemes.

Original language	English
Article number	8647283
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOCOM.2018.8647283
Publication status	Published - 2018
Externally published	Yes
Event	2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018

Keywords

Non-orthogonal multiple access (NOMA)
channel state information (CSI)
pattern division multiple access (PDMA)
resource allocation

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10.1109/GLOCOM.2018.8647283

Cite this

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title = "Power Allocation in Downlink PDMA Systems",

abstract = "Pattern division multiple access (PDMA) is a multi- carrier non-orthogonal multiple access (NOMA), which can meet the requirements of massive user connections and super-high data rate in the fifth generation (5G) wireless networks. In this paper, we work on the optimization of power allocation to improve the performance of the downlink PDMA system significantly. Considering the perfect channel state information (CSI) is acquired at the transmitter, we propose an iterative power allocation (IPA) scheme based on the integration of the iterative subgradient method and the Mann iterative method. Moreover, Lagrange multipliers and the allocated power are updated until converged in each iteration. It is demonstrated in simulation results that the achievable sum throughput superiority of our proposed scheme over other schemes.",

keywords = "Non-orthogonal multiple access (NOMA), channel state information (CSI), pattern division multiple access (PDMA), resource allocation",

author = "Mingyao Peng and Jie Zeng and Xin Su and Bei Liu and Limin Xiao",

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year = "2018",

doi = "10.1109/GLOCOM.2018.8647283",

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journal = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

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T1 - Power Allocation in Downlink PDMA Systems

AU - Peng, Mingyao

AU - Zeng, Jie

AU - Su, Xin

AU - Liu, Bei

AU - Xiao, Limin

PY - 2018

Y1 - 2018

N2 - Pattern division multiple access (PDMA) is a multi- carrier non-orthogonal multiple access (NOMA), which can meet the requirements of massive user connections and super-high data rate in the fifth generation (5G) wireless networks. In this paper, we work on the optimization of power allocation to improve the performance of the downlink PDMA system significantly. Considering the perfect channel state information (CSI) is acquired at the transmitter, we propose an iterative power allocation (IPA) scheme based on the integration of the iterative subgradient method and the Mann iterative method. Moreover, Lagrange multipliers and the allocated power are updated until converged in each iteration. It is demonstrated in simulation results that the achievable sum throughput superiority of our proposed scheme over other schemes.

AB - Pattern division multiple access (PDMA) is a multi- carrier non-orthogonal multiple access (NOMA), which can meet the requirements of massive user connections and super-high data rate in the fifth generation (5G) wireless networks. In this paper, we work on the optimization of power allocation to improve the performance of the downlink PDMA system significantly. Considering the perfect channel state information (CSI) is acquired at the transmitter, we propose an iterative power allocation (IPA) scheme based on the integration of the iterative subgradient method and the Mann iterative method. Moreover, Lagrange multipliers and the allocated power are updated until converged in each iteration. It is demonstrated in simulation results that the achievable sum throughput superiority of our proposed scheme over other schemes.

KW - Non-orthogonal multiple access (NOMA)

KW - channel state information (CSI)

KW - pattern division multiple access (PDMA)

KW - resource allocation

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DO - 10.1109/GLOCOM.2018.8647283

M3 - Conference article

AN - SCOPUS:85063540394

SN - 2334-0983

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

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M1 - 8647283

T2 - 2018 IEEE Global Communications Conference, GLOBECOM 2018

Y2 - 9 December 2018 through 13 December 2018

ER -

Power Allocation in Downlink PDMA Systems

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Keywords

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