Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks
Internet of remote things (IoRT) networks are regarded as an effective approach for providing services to smart devices, which are often remote and dispersed over in a wide area. Due to the fact that the ground base station deployment is difficult and the power consumption of smart devices is limite...
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doaj-2f0b1584e9a747948643ab33fa96755e2021-04-05T17:34:47ZengIEEEIEEE Access2169-35362019-01-01714534814536210.1109/ACCESS.2019.29454788856195Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things NetworksZhendong Li0https://orcid.org/0000-0002-9925-7804Ying Wang1https://orcid.org/0000-0002-4494-6389Man Liu2https://orcid.org/0000-0002-1335-8218Ruijin Sun3https://orcid.org/0000-0002-4403-9893Yuanbin Chen4Jun Yuan5Jiuchao Li6State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaChina Academy of Space Technology, Beijing, ChinaChina Academy of Space Technology, Beijing, ChinaInternet of remote things (IoRT) networks are regarded as an effective approach for providing services to smart devices, which are often remote and dispersed over in a wide area. Due to the fact that the ground base station deployment is difficult and the power consumption of smart devices is limited in IoRT networks, the hierarchical Space-Air-Ground architecture is very essential for these scenarios. This paper aims to investigate energy efficient resource allocation problem in a two-hop uplink communication for Space-Air-Ground Internet of remote things (SAG-IoRT) networks assisted with unmanned aerial vehicle (UAV) relays. In particular, the optimization goal of this paper is to maximize the system energy efficiency by jointly optimizing sub-channel selection, uplink transmission power control and UAV relays deployment. The optimization problem is a mix-integer non-linear non-convex programming, which is hard to tackle. Therefore, an iterative algorithm that combines two sub-problems is proposed to solve it. First, given UAV relays deployment position, the optimal sub-channel selection and power control policy are obtained by the Lagrangian dual decomposition method. Next, based on the obtained sub-channel allocation and power control policy, UAV relays deployment is obtained by successive convex approximation (SCA). These two sub-problems are alternatively optimized to obtain the maximum system energy efficiency. Numerical results verify that the proposed algorithm has at least 21.9% gain in system energy efficiency compared to the other benchmark scheme.https://ieeexplore.ieee.org/document/8856195/Energy efficiencySAG-IoRT networksUAV relaysLagrangian dual decompositionSCA |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhendong Li Ying Wang Man Liu Ruijin Sun Yuanbin Chen Jun Yuan Jiuchao Li |
spellingShingle |
Zhendong Li Ying Wang Man Liu Ruijin Sun Yuanbin Chen Jun Yuan Jiuchao Li Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks IEEE Access Energy efficiency SAG-IoRT networks UAV relays Lagrangian dual decomposition SCA |
author_facet |
Zhendong Li Ying Wang Man Liu Ruijin Sun Yuanbin Chen Jun Yuan Jiuchao Li |
author_sort |
Zhendong Li |
title |
Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks |
title_short |
Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks |
title_full |
Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks |
title_fullStr |
Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks |
title_full_unstemmed |
Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks |
title_sort |
energy efficient resource allocation for uav-assisted space-air-ground internet of remote things networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Internet of remote things (IoRT) networks are regarded as an effective approach for providing services to smart devices, which are often remote and dispersed over in a wide area. Due to the fact that the ground base station deployment is difficult and the power consumption of smart devices is limited in IoRT networks, the hierarchical Space-Air-Ground architecture is very essential for these scenarios. This paper aims to investigate energy efficient resource allocation problem in a two-hop uplink communication for Space-Air-Ground Internet of remote things (SAG-IoRT) networks assisted with unmanned aerial vehicle (UAV) relays. In particular, the optimization goal of this paper is to maximize the system energy efficiency by jointly optimizing sub-channel selection, uplink transmission power control and UAV relays deployment. The optimization problem is a mix-integer non-linear non-convex programming, which is hard to tackle. Therefore, an iterative algorithm that combines two sub-problems is proposed to solve it. First, given UAV relays deployment position, the optimal sub-channel selection and power control policy are obtained by the Lagrangian dual decomposition method. Next, based on the obtained sub-channel allocation and power control policy, UAV relays deployment is obtained by successive convex approximation (SCA). These two sub-problems are alternatively optimized to obtain the maximum system energy efficiency. Numerical results verify that the proposed algorithm has at least 21.9% gain in system energy efficiency compared to the other benchmark scheme. |
topic |
Energy efficiency SAG-IoRT networks UAV relays Lagrangian dual decomposition SCA |
url |
https://ieeexplore.ieee.org/document/8856195/ |
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