Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes

Keshav Singh; Meng Lin Ku; Mark F. Flanagan

doi:10.1109/VTC2020-Spring48590.2020.9128362

Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes

Keshav Singh, Meng Lin Ku, Mark F. Flanagan

Department of Communication Engineering

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

5 Scopus citations

Abstract

One of the key applications in the fifth generation (5G) communication systems is to support extremely high reliability (\sim 99.999%) and low latency (\lt 1 ms), namely ultra-reliable and low-latency communication. In this paper, we consider the problem of maximizing energy efficiency (EE) for downlink multi-user multiple-input single-output (MISO) networks under short packet transmission. An optimization problem is formulated to jointly optimize the precoders at the base station (BS) for serving multiple downlink users and the error probability with finite blocklength (FBL) codes, subject to the constraints on decoding error probability per URLLC user and on the BS transmit power. Since the formulated problem is non-convex, we convert this problem into a convex one by analyzing the structure of the EE objective. We then propose an algorithm to find a near-optimal solution for maximizing the EE. Simulation results validate the effectiveness of the proposed algorithm that supports energy-efficient URLLC.

Original language	English
Title of host publication	2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728152073
DOIs	https://doi.org/10.1109/VTC2020-Spring48590.2020.9128362
State	Published - May 2020
Event	91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium Duration: 25 May 2020 → 28 May 2020

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2020-May
ISSN (Print)	1550-2252

Conference

Conference	91st IEEE Vehicular Technology Conference, VTC Spring 2020
Country/Territory	Belgium
City	Antwerp
Period	25/05/20 → 28/05/20

Keywords

Precoder design
finite blocklength (FBL) codes
multi-user
multiple-input single-output (MISO)
optimization
ultra-reliable low-latency communication (URLLC)

Access to Document

10.1109/VTC2020-Spring48590.2020.9128362

Deep Learning for Green Wireless Communications: Power Control and Optimization
Ku, M.-L. (PI)
1/08/19 → 31/07/20
Project: Research

Cite this

Singh, K., Ku, M. L., & Flanagan, M. F. (2020). Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes. In 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings Article 9128362 (IEEE Vehicular Technology Conference; Vol. 2020-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128362

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title = "Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes",

abstract = "One of the key applications in the fifth generation (5G) communication systems is to support extremely high reliability (\sim 99.999%) and low latency (\lt 1 ms), namely ultra-reliable and low-latency communication. In this paper, we consider the problem of maximizing energy efficiency (EE) for downlink multi-user multiple-input single-output (MISO) networks under short packet transmission. An optimization problem is formulated to jointly optimize the precoders at the base station (BS) for serving multiple downlink users and the error probability with finite blocklength (FBL) codes, subject to the constraints on decoding error probability per URLLC user and on the BS transmit power. Since the formulated problem is non-convex, we convert this problem into a convex one by analyzing the structure of the EE objective. We then propose an algorithm to find a near-optimal solution for maximizing the EE. Simulation results validate the effectiveness of the proposed algorithm that supports energy-efficient URLLC.",

keywords = "Precoder design, finite blocklength (FBL) codes, multi-user, multiple-input single-output (MISO), optimization, ultra-reliable low-latency communication (URLLC)",

author = "Keshav Singh and Ku, {Meng Lin} and Flanagan, {Mark F.}",

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Singh, K, Ku, ML & Flanagan, MF 2020, Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes. in 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings., 9128362, IEEE Vehicular Technology Conference, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 91st IEEE Vehicular Technology Conference, VTC Spring 2020, Antwerp, Belgium, 25/05/20. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128362

Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes. / Singh, Keshav; Ku, Meng Lin; Flanagan, Mark F.
2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9128362 (IEEE Vehicular Technology Conference; Vol. 2020-May).

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

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N2 - One of the key applications in the fifth generation (5G) communication systems is to support extremely high reliability (\sim 99.999%) and low latency (\lt 1 ms), namely ultra-reliable and low-latency communication. In this paper, we consider the problem of maximizing energy efficiency (EE) for downlink multi-user multiple-input single-output (MISO) networks under short packet transmission. An optimization problem is formulated to jointly optimize the precoders at the base station (BS) for serving multiple downlink users and the error probability with finite blocklength (FBL) codes, subject to the constraints on decoding error probability per URLLC user and on the BS transmit power. Since the formulated problem is non-convex, we convert this problem into a convex one by analyzing the structure of the EE objective. We then propose an algorithm to find a near-optimal solution for maximizing the EE. Simulation results validate the effectiveness of the proposed algorithm that supports energy-efficient URLLC.

AB - One of the key applications in the fifth generation (5G) communication systems is to support extremely high reliability (\sim 99.999%) and low latency (\lt 1 ms), namely ultra-reliable and low-latency communication. In this paper, we consider the problem of maximizing energy efficiency (EE) for downlink multi-user multiple-input single-output (MISO) networks under short packet transmission. An optimization problem is formulated to jointly optimize the precoders at the base station (BS) for serving multiple downlink users and the error probability with finite blocklength (FBL) codes, subject to the constraints on decoding error probability per URLLC user and on the BS transmit power. Since the formulated problem is non-convex, we convert this problem into a convex one by analyzing the structure of the EE objective. We then propose an algorithm to find a near-optimal solution for maximizing the EE. Simulation results validate the effectiveness of the proposed algorithm that supports energy-efficient URLLC.

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Singh K, Ku ML, Flanagan MF. Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes. In 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9128362. (IEEE Vehicular Technology Conference). doi: 10.1109/VTC2020-Spring48590.2020.9128362

Energy-Efficient Precoder Design for URLLC-Enabled Downlink Multi-User MISO Networks Using Finite Blocklength Codes

Abstract

Publication series

Conference

Keywords

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Projects

Deep Learning for Green Wireless Communications: Power Control and Optimization

Cite this