Title
Energy Efficient Resource Allocation For Uav-Assisted Space-Air-Ground Internet Of Remote Things Networks
Abstract
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.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2945478
IEEE ACCESS
Keywords
DocType
Volume
Energy efficiency, SAG-IoRT networks, UAV relays, Lagrangian dual decomposition, SCA
Journal
7
ISSN
Citations 
PageRank 
2169-3536
3
0.38
References 
Authors
0
7
Name
Order
Citations
PageRank
Zhendong Li171.43
Ying Wang231639.54
Man Liu3103.88
Ruijin Sun4278.37
Yuanbin Chen530.72
Jun Yuan630.38
Jiuchao Li730.38