Unequal power amplifier dimensioning for adaptive massive MIMO base stations

Olli Apilo; Mika Lasanen; Aarne Mämmelä

doi:10.1109/VTCSpring.2016.7504517

Unequal power amplifier dimensioning for adaptive massive MIMO base stations

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

85 Downloads (Pure)

Abstract

In this paper, we propose a novel power amplifier (PA) dimensioning method for massive multiple-input multiple-output (MIMO) systems whose number of transmitting antennas is adapted according to the number of user equipments (UEs) in the cell. The dimensioning method sets the maximum output powers of PAs unequally according to the pre-calculated average per-antenna transmission powers for different number of UEs. This allows PAs to operate at higher efficiency when the average per-antenna transmission powers vary due to the adaptive number of transmitting antennas. The performance of the method is evaluated in the symmetric multi-cellular scenario using a comprehensive power consumption model that considers both base station and UEs. When simple class-B PAs are used at the base station, unequal PA dimensioning reduces the PA power consumption up to 42 % when compared to the conventional equal PA dimensioning. This improves the total system energy efficiency. The benefits of the proposed unequal PA dimensioning are that no prior knowledge of the UE distribution is needed and good performance is achieved for all UE densities.

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	6
ISBN (Electronic)	978-1-5090-1698-3
ISBN (Print)	978-1-5090-1699-0
DOIs	https://doi.org/10.1109/VTCSpring.2016.7504517
Publication status	Published - 7 Jul 2016
MoE publication type	A4 Article in a conference publication
Event	IEEE Vehicular Technology Conference - Nanjing, China Duration: 15 May 2016 → 18 May 2016 Conference number: 83

Conference

Conference	IEEE Vehicular Technology Conference
Abbreviated title	VTC Spring
Country	China
City	Nanjing
Period	15/05/16 → 18/05/16

Keywords

antennas
base stations
electric power utilization
energy efficiency
MIMO systems
telecommunication networks
higher efficiency
massive multiple-input- multiple-output system (MIMO)
maximum output
per antennas
power consumption model
prior knowledge
transmitting antenna
user equipments

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1109/VTCSpring.2016.7504517

Unequal power amplifier dimensioning for adaptive massive MIMO base stationsAccepted author manuscript, 211 KB

Fingerprint Dive into the research topics of 'Unequal power amplifier dimensioning for adaptive massive MIMO base stations'. Together they form a unique fingerprint.

Cite this

@inproceedings{e31afe97d7d4415f8f417104a82570fe,

title = "Unequal power amplifier dimensioning for adaptive massive MIMO base stations",

abstract = "In this paper, we propose a novel power amplifier (PA) dimensioning method for massive multiple-input multiple-output (MIMO) systems whose number of transmitting antennas is adapted according to the number of user equipments (UEs) in the cell. The dimensioning method sets the maximum output powers of PAs unequally according to the pre-calculated average per-antenna transmission powers for different number of UEs. This allows PAs to operate at higher efficiency when the average per-antenna transmission powers vary due to the adaptive number of transmitting antennas. The performance of the method is evaluated in the symmetric multi-cellular scenario using a comprehensive power consumption model that considers both base station and UEs. When simple class-B PAs are used at the base station, unequal PA dimensioning reduces the PA power consumption up to 42 % when compared to the conventional equal PA dimensioning. This improves the total system energy efficiency. The benefits of the proposed unequal PA dimensioning are that no prior knowledge of the UE distribution is needed and good performance is achieved for all UE densities.",

keywords = "antennas, base stations, electric power utilization, energy efficiency, MIMO systems, telecommunication networks, higher efficiency, massive multiple-input- multiple-output system (MIMO), maximum output, per antennas, power consumption model, prior knowledge, transmitting antenna, user equipments",

author = "Olli Apilo and Mika Lasanen and Aarne M{\"a}mmel{\"a}",

year = "2016",

month = jul,

day = "7",

doi = "10.1109/VTCSpring.2016.7504517",

language = "English",

isbn = "978-1-5090-1699-0",

booktitle = "Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "IEEE Vehicular Technology Conference, VTC Spring ; Conference date: 15-05-2016 Through 18-05-2016",

}

Unequal power amplifier dimensioning for adaptive massive MIMO base stations. / Apilo, Olli ; Lasanen, Mika ; Mämmelä, Aarne.

Proceedings : 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring). IEEE Institute of Electrical and Electronic Engineers, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Unequal power amplifier dimensioning for adaptive massive MIMO base stations

AU - Apilo, Olli

AU - Lasanen, Mika

AU - Mämmelä, Aarne

N1 - Conference code: 83

PY - 2016/7/7

Y1 - 2016/7/7

N2 - In this paper, we propose a novel power amplifier (PA) dimensioning method for massive multiple-input multiple-output (MIMO) systems whose number of transmitting antennas is adapted according to the number of user equipments (UEs) in the cell. The dimensioning method sets the maximum output powers of PAs unequally according to the pre-calculated average per-antenna transmission powers for different number of UEs. This allows PAs to operate at higher efficiency when the average per-antenna transmission powers vary due to the adaptive number of transmitting antennas. The performance of the method is evaluated in the symmetric multi-cellular scenario using a comprehensive power consumption model that considers both base station and UEs. When simple class-B PAs are used at the base station, unequal PA dimensioning reduces the PA power consumption up to 42 % when compared to the conventional equal PA dimensioning. This improves the total system energy efficiency. The benefits of the proposed unequal PA dimensioning are that no prior knowledge of the UE distribution is needed and good performance is achieved for all UE densities.

AB - In this paper, we propose a novel power amplifier (PA) dimensioning method for massive multiple-input multiple-output (MIMO) systems whose number of transmitting antennas is adapted according to the number of user equipments (UEs) in the cell. The dimensioning method sets the maximum output powers of PAs unequally according to the pre-calculated average per-antenna transmission powers for different number of UEs. This allows PAs to operate at higher efficiency when the average per-antenna transmission powers vary due to the adaptive number of transmitting antennas. The performance of the method is evaluated in the symmetric multi-cellular scenario using a comprehensive power consumption model that considers both base station and UEs. When simple class-B PAs are used at the base station, unequal PA dimensioning reduces the PA power consumption up to 42 % when compared to the conventional equal PA dimensioning. This improves the total system energy efficiency. The benefits of the proposed unequal PA dimensioning are that no prior knowledge of the UE distribution is needed and good performance is achieved for all UE densities.

KW - antennas

KW - base stations

KW - electric power utilization

KW - energy efficiency

KW - MIMO systems

KW - telecommunication networks

KW - higher efficiency

KW - massive multiple-input- multiple-output system (MIMO)

KW - maximum output

KW - per antennas

KW - power consumption model

KW - prior knowledge

KW - transmitting antenna

KW - user equipments

U2 - 10.1109/VTCSpring.2016.7504517

DO - 10.1109/VTCSpring.2016.7504517

M3 - Conference article in proceedings

SN - 978-1-5090-1699-0

BT - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE Vehicular Technology Conference

Y2 - 15 May 2016 through 18 May 2016

ER -