Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach

Sheikh Salman Hassan; Umer Majeed; Choong Seon Hong

doi:10.1109/ICOIN50884.2021.9333882

Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach

Sheikh Salman Hassan
, Umer Majeed
, Choong Seon Hong

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

6 Citations (Scopus)

Abstract

Maritime network traffic is increasing due to the ongoing need for trade and tourism, thus increasing the demand for convenient, reliable, energy-efficient, and high-speed network access at sea that could be analogous to terrestrial networks. Therefore, to ensure the concept of a connected world under the umbrella of sixth-generation (6G) networks, we propose the next-generation integrated space-oceanic network, which consists of a set of LEO satellites and marine user equipments (MUE). This paper investigates network profit maximization (NPM) by optimizing the MUE association and its resource allocation in downlink communication. The formulated optimization problem corresponds to mixed-integer nonlinear programming (MINLP). To solve this problem, we propose an iterative algorithm based on Bender's decomposition (BD). Numerical results are provided to demonstrate the convergence and effectiveness of our proposed algorithm.

Original language	English
Title of host publication	35th International Conference on Information Networking, ICOIN 2021
Publisher	IEEE Computer Society
Pages	565-570
Number of pages	6
ISBN (Electronic)	9781728191003
DOIs	https://doi.org/10.1109/ICOIN50884.2021.9333882
Publication status	Published - 13 Jan 2021
Event	35th International Conference on Information Networking, ICOIN 2021 - Jeju Island, Korea, Republic of Duration: 13 Jan 2021 → 16 Jan 2021

Publication series

Name	International Conference on Information Networking
Volume	2021-January
ISSN (Print)	1976-7684

Conference

Conference	35th International Conference on Information Networking, ICOIN 2021
Country/Territory	Korea, Republic of
City	Jeju Island
Period	13/01/21 → 16/01/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

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

SDG 14 Life Below Water

Keywords

6G
Bender decomposition.
maritime communication
resource allocation
satellite networks

Access to Document

10.1109/ICOIN50884.2021.9333882

Cite this

Hassan, S. S., Majeed, U., & Hong, C. S. (2021). Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach. In 35th International Conference on Information Networking, ICOIN 2021 (pp. 565-570). Article 9333882 (International Conference on Information Networking; Vol. 2021-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN50884.2021.9333882

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title = "Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach",

abstract = "Maritime network traffic is increasing due to the ongoing need for trade and tourism, thus increasing the demand for convenient, reliable, energy-efficient, and high-speed network access at sea that could be analogous to terrestrial networks. Therefore, to ensure the concept of a connected world under the umbrella of sixth-generation (6G) networks, we propose the next-generation integrated space-oceanic network, which consists of a set of LEO satellites and marine user equipments (MUE). This paper investigates network profit maximization (NPM) by optimizing the MUE association and its resource allocation in downlink communication. The formulated optimization problem corresponds to mixed-integer nonlinear programming (MINLP). To solve this problem, we propose an iterative algorithm based on Bender's decomposition (BD). Numerical results are provided to demonstrate the convergence and effectiveness of our proposed algorithm.",

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Hassan, SS, Majeed, U & Hong, CS 2021, Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach. in 35th International Conference on Information Networking, ICOIN 2021., 9333882, International Conference on Information Networking, vol. 2021-January, IEEE Computer Society, pp. 565-570, 35th International Conference on Information Networking, ICOIN 2021, Jeju Island, Korea, Republic of, 13/01/21. https://doi.org/10.1109/ICOIN50884.2021.9333882

Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach. / Hassan, Sheikh Salman; Majeed, Umer; Hong, Choong Seon.
35th International Conference on Information Networking, ICOIN 2021. IEEE Computer Society, 2021. p. 565-570 9333882 (International Conference on Information Networking; Vol. 2021-January).

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

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AU - Hong, Choong Seon

PY - 2021/1/13

Y1 - 2021/1/13

N2 - Maritime network traffic is increasing due to the ongoing need for trade and tourism, thus increasing the demand for convenient, reliable, energy-efficient, and high-speed network access at sea that could be analogous to terrestrial networks. Therefore, to ensure the concept of a connected world under the umbrella of sixth-generation (6G) networks, we propose the next-generation integrated space-oceanic network, which consists of a set of LEO satellites and marine user equipments (MUE). This paper investigates network profit maximization (NPM) by optimizing the MUE association and its resource allocation in downlink communication. The formulated optimization problem corresponds to mixed-integer nonlinear programming (MINLP). To solve this problem, we propose an iterative algorithm based on Bender's decomposition (BD). Numerical results are provided to demonstrate the convergence and effectiveness of our proposed algorithm.

AB - Maritime network traffic is increasing due to the ongoing need for trade and tourism, thus increasing the demand for convenient, reliable, energy-efficient, and high-speed network access at sea that could be analogous to terrestrial networks. Therefore, to ensure the concept of a connected world under the umbrella of sixth-generation (6G) networks, we propose the next-generation integrated space-oceanic network, which consists of a set of LEO satellites and marine user equipments (MUE). This paper investigates network profit maximization (NPM) by optimizing the MUE association and its resource allocation in downlink communication. The formulated optimization problem corresponds to mixed-integer nonlinear programming (MINLP). To solve this problem, we propose an iterative algorithm based on Bender's decomposition (BD). Numerical results are provided to demonstrate the convergence and effectiveness of our proposed algorithm.

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M3 - Conference contribution

AN - SCOPUS:85100732893

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EP - 570

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PB - IEEE Computer Society

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Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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