Energy-efficient power allocation in millimeter wave massive MIMO with non-orthogonal multiple access

Wanming Hao; Ming Zeng; Zheng Chu; Shouyi Yang

doi:10.1109/LWC.2017.2741493

Energy-efficient power allocation in millimeter wave massive MIMO with non-orthogonal multiple access

Wanming Hao, Ming Zeng, Zheng Chu, Shouyi Yang

Research output: Journal Publication › Article › peer-review

155 Citations (Scopus)

Abstract

In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave massive MIMO system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digital precoding scheme for the low radio frequency chains structure at the base station. On this basis, we formulate a power allocation problem aiming to maximize the EE under users' quality of service requirements and per-cluster power constraint. An iterative algorithm is proposed to obtain the optimal power allocation. Simulation results show that the proposed NOMA scheme achieves superior EE performance than conventional OMA scheme.

Original language	English
Pages (from-to)	782-785
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	6
Issue number	6
DOIs	https://doi.org/10.1109/LWC.2017.2741493
Publication status	Published - Dec 2017
Externally published	Yes

Keywords

Energy efficiency
Hybrid precoding
Massive MIMO
Millimeter wave
NOMA

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LWC.2017.2741493

Cite this

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title = "Energy-efficient power allocation in millimeter wave massive MIMO with non-orthogonal multiple access",

abstract = "In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave massive MIMO system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digital precoding scheme for the low radio frequency chains structure at the base station. On this basis, we formulate a power allocation problem aiming to maximize the EE under users' quality of service requirements and per-cluster power constraint. An iterative algorithm is proposed to obtain the optimal power allocation. Simulation results show that the proposed NOMA scheme achieves superior EE performance than conventional OMA scheme.",

keywords = "Energy efficiency, Hybrid precoding, Massive MIMO, Millimeter wave, NOMA",

author = "Wanming Hao and Ming Zeng and Zheng Chu and Shouyi Yang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

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doi = "10.1109/LWC.2017.2741493",

language = "English",

volume = "6",

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T1 - Energy-efficient power allocation in millimeter wave massive MIMO with non-orthogonal multiple access

AU - Hao, Wanming

AU - Zeng, Ming

AU - Chu, Zheng

AU - Yang, Shouyi

PY - 2017/12

Y1 - 2017/12

N2 - In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave massive MIMO system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digital precoding scheme for the low radio frequency chains structure at the base station. On this basis, we formulate a power allocation problem aiming to maximize the EE under users' quality of service requirements and per-cluster power constraint. An iterative algorithm is proposed to obtain the optimal power allocation. Simulation results show that the proposed NOMA scheme achieves superior EE performance than conventional OMA scheme.

AB - In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave massive MIMO system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digital precoding scheme for the low radio frequency chains structure at the base station. On this basis, we formulate a power allocation problem aiming to maximize the EE under users' quality of service requirements and per-cluster power constraint. An iterative algorithm is proposed to obtain the optimal power allocation. Simulation results show that the proposed NOMA scheme achieves superior EE performance than conventional OMA scheme.

KW - Energy efficiency

KW - Hybrid precoding

KW - Massive MIMO

KW - Millimeter wave

KW - NOMA

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DO - 10.1109/LWC.2017.2741493

M3 - Article

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EP - 785

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 6

ER -

Energy-efficient power allocation in millimeter wave massive MIMO with non-orthogonal multiple access

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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