Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System

Byeongheon Lee; Ju Hyung Lee; Young Chai Ko

doi:10.1109/MILCOM58377.2023.10356125

Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System

Byeongheon Lee, Ju Hyung Lee, Young Chai Ko

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

Abstract

This article focuses on optimization problems in military scenarios of the narrow-band Internet of Things (NB-IoT)-low Earth orbit (LEO) satellite networks. A 3D model of the LEO satellite is presented using a spherical coordinate system, enabling the determination of a practical elevation angle for the ground-to-satellite channel model. This study aims to maximize the minimum average throughput by formulating an optimization problem that incorporates the association between IoT devices and LEO satellites. To solve this problem, an iterative algorithm based on successive convex approximation algorithms is proposed. Simulation results confirm the effectiveness of the proposed optimal approach and show up to 59.51% of effective throughput improvement compared to conventional approaches while ensuring fairness between IoT devices. In addition, the article highlights important findings through top-view 2D and 3D snapshots, demonstrating optimal decisions using the proposed method.

Original language	English
Title of host publication	MILCOM 2023 - 2023 IEEE Military Communications Conference
Subtitle of host publication	Communications Supporting Military Operations in a Contested Environment
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	957-962
Number of pages	6
ISBN (Electronic)	9798350321814
DOIs	https://doi.org/10.1109/MILCOM58377.2023.10356125
Publication status	Published - 2023
Event	2023 IEEE Military Communications Conference, MILCOM 2023 - Boston, United States Duration: 2023 Oct 30 → 2023 Nov 3

Publication series

Name	MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment

Conference

Conference	2023 IEEE Military Communications Conference, MILCOM 2023
Country/Territory	United States
City	Boston
Period	23/10/30 → 23/11/3

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Signal Processing
Safety, Risk, Reliability and Quality

Access to Document

10.1109/MILCOM58377.2023.10356125

Cite this

Lee, B., Lee, J. H., & Ko, Y. C. (2023). Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System. In MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment (pp. 957-962). (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM58377.2023.10356125

Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System. / Lee, Byeongheon; Lee, Ju Hyung; Ko, Young Chai.
MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. Institute of Electrical and Electronics Engineers Inc., 2023. p. 957-962 (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment).

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

Lee, B, Lee, JH & Ko, YC 2023, Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System. in MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment, Institute of Electrical and Electronics Engineers Inc., pp. 957-962, 2023 IEEE Military Communications Conference, MILCOM 2023, Boston, United States, 23/10/30. https://doi.org/10.1109/MILCOM58377.2023.10356125

Lee B, Lee JH, Ko YC. Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System. In MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. Institute of Electrical and Electronics Engineers Inc. 2023. p. 957-962. (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment). doi: 10.1109/MILCOM58377.2023.10356125

Lee, Byeongheon ; Lee, Ju Hyung ; Ko, Young Chai. / Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System. MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 957-962 (MILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment).

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abstract = "This article focuses on optimization problems in military scenarios of the narrow-band Internet of Things (NB-IoT)-low Earth orbit (LEO) satellite networks. A 3D model of the LEO satellite is presented using a spherical coordinate system, enabling the determination of a practical elevation angle for the ground-to-satellite channel model. This study aims to maximize the minimum average throughput by formulating an optimization problem that incorporates the association between IoT devices and LEO satellites. To solve this problem, an iterative algorithm based on successive convex approximation algorithms is proposed. Simulation results confirm the effectiveness of the proposed optimal approach and show up to 59.51% of effective throughput improvement compared to conventional approaches while ensuring fairness between IoT devices. In addition, the article highlights important findings through top-view 2D and 3D snapshots, demonstrating optimal decisions using the proposed method.",

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Fairness-Aware Scheduling Optimization for NB-IoT in LEO Satellite Networks Using a 3D Spherical Coordinate System

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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