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 proceedingConference 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 languageEnglish
Title of host publicationMILCOM 2023 - 2023 IEEE Military Communications Conference
Subtitle of host publicationCommunications Supporting Military Operations in a Contested Environment
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages957-962
Number of pages6
ISBN (Electronic)9798350321814
DOIs
Publication statusPublished - 2023
Event2023 IEEE Military Communications Conference, MILCOM 2023 - Boston, United States
Duration: 2023 Oct 302023 Nov 3

Publication series

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

Conference

Conference2023 IEEE Military Communications Conference, MILCOM 2023
Country/TerritoryUnited States
CityBoston
Period23/10/3023/11/3

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

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

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