Energy-Efficient Collaborative Data Downloading by Using Inter-Satellite Offloading

Zhang, Manqing; Zhou, Wuyang

doi:10.1109/globecom38437.2019.9013462

Cited by 14 publications

(6 citation statements)

References 11 publications

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“…Based on the enhanced superposition multi power level multi transmission diagram, an iterative algorithm [5] is proposed to reduce the energy consumption of data transmission. A theoretical model [6] is proposed to estimate the inter-satellite link hops between users in large LEO networks.…”

Section: Introductionmentioning

confidence: 99%

“…Constraint (2-7) indicates that A, the adjacent matrix of G, is a real symmetric matrix. Constraint(2)(3)(4)(5)(6)(7)(8) and(2)(3)(4)(5)(6)(7)(8)(9)(10) represents the visible pitch angle range and azimuth angle accordingly. Constraint (2-9) denotes the pitch angle range visible to two satellites blocked by the earth.…”

mentioning

confidence: 99%

“…Constraint (2-9) denotes the pitch angle range visible to two satellites blocked by the earth. Constraint(2)(3)(4)(5)(6)(7)(8)(9)(10)(11) indicates the maximum number of links that any node can connect, that is, the maximum degree of nodes. Constraint (2-12) denotes the maximum effective distance of laser communication between two adjacent satellites.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Topology construction technology of LEO satellite based on multi-objective optimization algorithm

Cao¹,

Gong²,

Zhang³

2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Topology construction technology of LEO satellite based on multi-objective optimization algorithm

Cao¹,

Gong²,

Zhang³

2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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“…Recently, inter-satellite communication-link (ISL)-utilizing cooperative downloading approaches have been also investigated to maximize throughput and solve the resourceunder-utilization issue [22][23][24]. They leveraged data offloading through ISLs to distribute an appropriate amount of data to each satellite.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Downloading for LEO Satellite Networks: A DRL-Based Approach

Choi

Pack

2022

Sensors

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In low earth orbit (LEO) satellite-based applications (e.g., remote sensing and surveillance), it is important to efficiently transmit collected data to ground stations (GS). However, LEO satellites’ high mobility and resultant insufficient time for downloading make this challenging. In this paper, we propose a deep-reinforcement-learning (DRL)-based cooperative downloading scheme, which utilizes inter-satellite communication links (ISLs) to fully utilize satellites’ downloading capabilities. To this end, we formulate a Markov decision problem (MDP) with the objective to maximize the amount of downloaded data. To learn the optimal approach to the formulated problem, we adopt a soft-actor-critic (SAC)-based DRL algorithm in discretized action spaces. Moreover, we design a novel neural network consisting of a graph attention network (GAT) layer to extract latent features from the satellite network and parallel fully connected (FC) layers to control individual satellites of the network. Evaluation results demonstrate that the proposed DRL-based cooperative downloading scheme can enhance the average utilization of contact time by up to 17.8% compared with independent downloading and randomly offloading schemes.

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“…In Ref. [ 13 ], M. Zhang et al. focused on the energy constraints on satellite data transmission, and modeled the satellite network topology as a transmission graph that varies according to the power level of ISLs.…”

Section: Introductionmentioning

confidence: 99%

A Cooperative Routing Scheme Using Inter-Satellite Links to Assist Data Downloading for LEO Satellite Networks

Yang

Liu

Jin

et al. 2022

Sensors

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Low earth orbit (LEO) satellite networks can provide Internet service to users in areas where cellular networks are difficult to deploy. One critical function of satellites is to transfer data from satellite networks to ground core network through earth stations (ESs). The Ka-band multiple-input multiple-output (MIMO) can be used to establish feeder links with larger bandwidth between satellites and ESs. However, propagation at the Ka band is subjected to rain attenuation and various atmospheric fading mechanisms, which severely reduce the maximum link capacity. As a result, the insufficient capacity of feed link becomes the throughput bottleneck of satellite networks. In order to increase network throughput, it is important to fully use feeder link resources. In this paper, we propose a cooperation scheme to route packets to ESs through a well-resourced feeder link, such that the bandwidth of the feeder links can be fully utilized and the throughput of data downloading at the ESs is maximized. Firstly, we model the satellite network system and the feeder link based on MIMO technology. Then, a Maximum-Flow-Minimum-Cost (MCMF) routing algorithm consisting of two Linear Programs (LPs) is presented to compute maximum-flow routings for data download. Eventually, a variety of simulations are conducted to assess the proposed scheme, which shows that the cooperative routing scheme outperforms the existing SiRRS method in terms of throughput and delay.

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Energy-Efficient Collaborative Data Downloading by Using Inter-Satellite Offloading

Cited by 14 publications

References 11 publications

Topology construction technology of LEO satellite based on multi-objective optimization algorithm

Topology construction technology of LEO satellite based on multi-objective optimization algorithm

Cooperative Downloading for LEO Satellite Networks: A DRL-Based Approach

A Cooperative Routing Scheme Using Inter-Satellite Links to Assist Data Downloading for LEO Satellite Networks

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