Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs

Mengxue Tang; Mikko Vehkapera; Xiaoli Chu; Risto Wichman

doi:10.1109/ISWCS.2019.8877176

Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs

Mengxue Tang, Mikko Vehkapera, Xiaoli Chu, Risto Wichman

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

53 Downloads (Pure)

Abstract

To reduce energy consumption, relay stations with massive antenna arrays can be equipped with low resolution analog-to-digital converters (ADCs). Due to powerful loop interference in full-duplex (FD) relaying, however, low resolution ADCs generate strong quantization noise that has severe impact on the throughput of the system. In this paper, the throughput and energy efficiency of a FD decode-and-forward relay system with low resolution ADCs is investigated. Based on the mathematical analysis, a novel iterative power allocation scheme that mitigates the impact of the quantization noise via reducing the received LI power is proposed. The power allocation scheme aims at maximizing the end-to-end achievable rate by adjusting the per-link transmit powers at the relay. The numerical results show that compared to half-duplex relaying, using FD with the proposed power allocation scheme improves the system throughput and energy efficiency significantly.

Original language	English
Title of host publication	ISWCS 2019 - 16th International Symposium on Wireless Communication Systems
Publisher	IEEE
Pages	505-510
Number of pages	6
ISBN (Electronic)	9781728125275
DOIs	https://doi.org/10.1109/ISWCS.2019.8877176
Publication status	Published - 1 Aug 2019
MoE publication type	A4 Article in a conference publication
Event	International Symposium on Wireless Communication Systems - Oulu, Finland Duration: 27 Aug 2019 → 30 Aug 2019 Conference number: 16

Publication series

Name	International Symposium on Wireless Communication Systems
ISSN (Print)	2154-0217
ISSN (Electronic)	2154-0225

Conference

Conference	International Symposium on Wireless Communication Systems
Abbreviated title	ISWCS
Country	Finland
City	Oulu
Period	27/08/2019 → 30/08/2019

Keywords

Decode-and-forward
Energy efficiency
Finite code word length
Full-duplex relaying
Low resolution ADCs
Massive MIMO
Power allocation

UN SDGs

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

Access to Document

10.1109/ISWCS.2019.8877176

ELEC_Tang_Power_allocation_ISWCSAccepted author manuscript, 517 KB

Cite this

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title = "Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs",

abstract = "To reduce energy consumption, relay stations with massive antenna arrays can be equipped with low resolution analog-to-digital converters (ADCs). Due to powerful loop interference in full-duplex (FD) relaying, however, low resolution ADCs generate strong quantization noise that has severe impact on the throughput of the system. In this paper, the throughput and energy efficiency of a FD decode-and-forward relay system with low resolution ADCs is investigated. Based on the mathematical analysis, a novel iterative power allocation scheme that mitigates the impact of the quantization noise via reducing the received LI power is proposed. The power allocation scheme aims at maximizing the end-to-end achievable rate by adjusting the per-link transmit powers at the relay. The numerical results show that compared to half-duplex relaying, using FD with the proposed power allocation scheme improves the system throughput and energy efficiency significantly.",

keywords = "Decode-and-forward, Energy efficiency, Finite code word length, Full-duplex relaying, Low resolution ADCs, Massive MIMO, Power allocation",

author = "Mengxue Tang and Mikko Vehkapera and Xiaoli Chu and Risto Wichman",

year = "2019",

month = aug,

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doi = "10.1109/ISWCS.2019.8877176",

language = "English",

series = "International Symposium on Wireless Communication Systems",

publisher = "IEEE",

pages = "505--510",

booktitle = "ISWCS 2019 - 16th International Symposium on Wireless Communication Systems",

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note = "International Symposium on Wireless Communication Systems, ISWCS ; Conference date: 27-08-2019 Through 30-08-2019",

}

Tang, M, Vehkapera, M, Chu, X & Wichman, R 2019, Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs. in ISWCS 2019 - 16th International Symposium on Wireless Communication Systems., 8877176, International Symposium on Wireless Communication Systems, IEEE, pp. 505-510, International Symposium on Wireless Communication Systems, Oulu, Finland, 27/08/2019. https://doi.org/10.1109/ISWCS.2019.8877176

Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs. / Tang, Mengxue; Vehkapera, Mikko; Chu, Xiaoli; Wichman, Risto.

ISWCS 2019 - 16th International Symposium on Wireless Communication Systems. IEEE, 2019. p. 505-510 8877176 (International Symposium on Wireless Communication Systems).

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

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T1 - Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs

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AU - Vehkapera, Mikko

AU - Chu, Xiaoli

AU - Wichman, Risto

N1 - Conference code: 16

PY - 2019/8/1

Y1 - 2019/8/1

N2 - To reduce energy consumption, relay stations with massive antenna arrays can be equipped with low resolution analog-to-digital converters (ADCs). Due to powerful loop interference in full-duplex (FD) relaying, however, low resolution ADCs generate strong quantization noise that has severe impact on the throughput of the system. In this paper, the throughput and energy efficiency of a FD decode-and-forward relay system with low resolution ADCs is investigated. Based on the mathematical analysis, a novel iterative power allocation scheme that mitigates the impact of the quantization noise via reducing the received LI power is proposed. The power allocation scheme aims at maximizing the end-to-end achievable rate by adjusting the per-link transmit powers at the relay. The numerical results show that compared to half-duplex relaying, using FD with the proposed power allocation scheme improves the system throughput and energy efficiency significantly.

AB - To reduce energy consumption, relay stations with massive antenna arrays can be equipped with low resolution analog-to-digital converters (ADCs). Due to powerful loop interference in full-duplex (FD) relaying, however, low resolution ADCs generate strong quantization noise that has severe impact on the throughput of the system. In this paper, the throughput and energy efficiency of a FD decode-and-forward relay system with low resolution ADCs is investigated. Based on the mathematical analysis, a novel iterative power allocation scheme that mitigates the impact of the quantization noise via reducing the received LI power is proposed. The power allocation scheme aims at maximizing the end-to-end achievable rate by adjusting the per-link transmit powers at the relay. The numerical results show that compared to half-duplex relaying, using FD with the proposed power allocation scheme improves the system throughput and energy efficiency significantly.

KW - Decode-and-forward

KW - Energy efficiency

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KW - Massive MIMO

KW - Power allocation

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Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

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Massive MIMO: Advanced Antennas, Systems and Signal Processing at mm-waves

Cite this

Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Massive MIMO: Advanced Antennas, Systems and Signal Processing at mm-waves

Cite this