Deep Q-learning aided networking, caching, and computing resources allocation in software-defined satellite-terrestrial networks
With the development of satellite networks, there is an emerging trend to integrate satellite
networks with terrestrial networks, called satellite-terrestrial networks (STNs). The …
networks with terrestrial networks, called satellite-terrestrial networks (STNs). The …
Reinforcement learning based capacity management in multi-layer satellite networks
The development of satellite networks is drawing much more attention in recent years due to
the wide coverage ability. Composed of geosynchronous orbit (GEO), medium earth orbit …
the wide coverage ability. Composed of geosynchronous orbit (GEO), medium earth orbit …
The next generation heterogeneous satellite communication networks: Integration of resource management and deep reinforcement learning
This article proposes an innovative resource management framework for the next generation
heterogeneous satellite networks (HSNs), which can achieve cooperation between …
heterogeneous satellite networks (HSNs), which can achieve cooperation between …
Multi-resource coordinate scheduling for earth observation in space information networks
Space information network (SIN) is a promising networking architecture to significantly
broaden the observation area and realize continuous information acquisition for earth …
broaden the observation area and realize continuous information acquisition for earth …
A novel multi-satellite and multi-task scheduling method based on task network graph aggregation
The task scheduling timeliness problem on satellite networks is crucial to realizing the
Space-Terrestrial Integrated Network (STIN). Traditional methods interpret the satellite …
Space-Terrestrial Integrated Network (STIN). Traditional methods interpret the satellite …
Orbitcast: Exploiting mega-constellations for low-latency earth observation
Satellite-based Earth Observation (EO) systems are gaining popularity and widely used in
many time-sensitive scenarios, including disaster monitoring, emergency response …
many time-sensitive scenarios, including disaster monitoring, emergency response …
Task scheduling for optimal power management and quality-of-service assurance in CubeSats
The value and overall efficacy of a satellite mission are directly affected by its task
scheduling strategy and the associated amount of work performed in orbit. Despite subject to …
scheduling strategy and the associated amount of work performed in orbit. Despite subject to …
Task scheduling under a novel framework for data relay satellite network via deep reinforcement learning
Data relay satellite networks (DRSNs) face the challenge of increasing relay mission
demands in space networks. To improve the task scheduling efficiency of DRSN further, we …
demands in space networks. To improve the task scheduling efficiency of DRSN further, we …
Task scheduling method for data relay satellite network considering breakpoint transmission
The increasing demands for space-based data transmission pose a great challenge to task
scheduling of tracking and data relay satellites (TDRSs). In order to improve the working …
scheduling of tracking and data relay satellites (TDRSs). In order to improve the working …
Robust multiuser beamforming for IRS-enhanced near-space downlink communications coexisting with satellite system
To the best of our knowledge, this article represents the first attempt toward robust
beamforming design for multiuser downlink communications in intelligent reflecting surface …
beamforming design for multiuser downlink communications in intelligent reflecting surface …