Title | ||
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Energy Efficient Resource Allocation For Uav-Assisted Space-Air-Ground Internet Of Remote Things Networks |
Abstract | ||
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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 |
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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 Li | 1 | 7 | 1.43 |
Ying Wang | 2 | 316 | 39.54 |
Man Liu | 3 | 10 | 3.88 |
Ruijin Sun | 4 | 27 | 8.37 |
Yuanbin Chen | 5 | 3 | 0.72 |
Jun Yuan | 6 | 3 | 0.38 |
Jiuchao Li | 7 | 3 | 0.38 |