Satellite-terrestrial Network Research Articles

Access-Backhaul Strategy via gNB Cooperation for Integrated Terrestrial-Satellite Networks

Access-Backhaul Strategy via gNB Cooperation for Integrated Terrestrial-Satellite Networks

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

ISAC towards 6G Satellite–Terrestrial Communications: Principles, Status, and Prospects

With the evolution of fifth-generation (5G) to sixth-generation (6G) communication systems, the utilization of spectrum resources faces incremental challenges. Integrated sensing and communication (ISAC) technology, as a crucial element in 6G technology, is expected to enhance energy efficiency and spectrum utilization efficiency by integrating radar and communication signals, achieving environmental awareness, and enabling scene interconnection. Simultaneously, to realize the vision of seamless coverage in 6G, research on integrated satellite-terrestrial communication has been prioritized. To integrate the advantages, ISAC for integrated satellite–terrestrial networks (ISTNs) in 6G has emerged as a potential research direction. This paper offers an extensive overview of the present state of key technologies for ISAC and the development of ISTNs. Meanwhile, with a focus on the ISTN-oriented 6G ISAC system, several hotspot topics, including future application scenarios and key technological developments, are outlined and demonstrated.

A self-attention based dynamic resource management for satellite-terrestrial networks

A self-attention based dynamic resource management for satellite-terrestrial networks

Cooperative Caching and Resource Allocation in Integrated Satellite–Terrestrial Networks

Due to the rapid development of low earth orbit satellite constellations, e.g., Starlink, OneWeb, etc., integrated satellite-terrestrial networks have been viewed as a promising paradigm to globally provide satellite internet services for users. However, when the contents from ground data centers are provided for users by satellite networks, there will be high capital expenditures in terms of communication delay and bandwidth usage. To this end, in this paper, a cooperative-caching and resource-allocation problem is investigated in integrated satellite–terrestrial networks. Popular contents, which are cached on satellites and ground data centers, can be accessed via inter-satellite and satellite–terrestrial networks in a cooperative way. The optimization problem is formulated to jointly minimize the deployment costs of storage resource usage and network bandwidth consumption. A cooperative caching and resource allocation (CCRA) algorithm based on a neighborhood search is proposed to address the problem. The simulation results demonstrate that the proposed CCRA algorithm outperforms Greedy and BFS in reducing the deployment costs.

Interference Mitigation for Reverse Spectrum Sharing in B5G/6G Satellite-Terrestrial Networks

Interference Mitigation for Reverse Spectrum Sharing in B5G/6G Satellite-Terrestrial Networks

Deep Reinforcement Learning-Based Resource Allocation for RSMA in LEO Satellite-Terrestrial Networks

Deep Reinforcement Learning-Based Resource Allocation for RSMA in LEO Satellite-Terrestrial Networks

Network Deployment for ATG Communications: A Cell-Free Approach Under the Hybrid Satellite-Terrestrial Network Architecture

Network Deployment for ATG Communications: A Cell-Free Approach Under the Hybrid Satellite-Terrestrial Network Architecture

Online learning-based offloading decision and resource allocation in mobile edge computing-enabled satellite-terrestrial networks

Online learning-based offloading decision and resource allocation in mobile edge computing-enabled satellite-terrestrial networks

Energy-efficient traffic offloading for RSMA-based hybrid satellite terrestrial networks with deep reinforcement learning

Energy-efficient traffic offloading for RSMA-based hybrid satellite terrestrial networks with deep reinforcement learning

Location-Based Downlink Transmission Scheme for IRS-Aided Integrated Satellite-Terrestrial Networks

Location-Based Downlink Transmission Scheme for IRS-Aided Integrated Satellite-Terrestrial Networks

Coordinated Rate-Splitting Multiple Access for Integrated Satellite-Terrestrial Networks With Super-Common Message

Coordinated Rate-Splitting Multiple Access for Integrated Satellite-Terrestrial Networks With Super-Common Message

Improving Broadcast System of Integrated Satellite-Terrestrial Network-based on Enhanced Ant colony Optimization

With the use of seamless high-speed worldwide network connectivity in future, it is anticipated that the integrated satellite-terrestrial network (ISTN) will be a possible option. Due to the inadequacy of topological data and the close coupling of data and control planes, deploying optimized rules on routers is difficult. The important factors in ISTN networks are routing rules and policies, link failure, and high-bandwidth communication. Software-defined networking (SDN) is an open innovation approach that enables programmability from a central location. The controller handles the complexity of the network, whereas the infrastructure layer devices relay the packets. Thus, we investigated the broadcast by dynamically adjusting routes for fault tolerance and energy efficiency of the ISTN using distance between nodes. In addition, using dynamic source routing, this study examines the competence functions of all managing nodes in a network. The routing design is distributed among all nodes to create numerous collective paths. For LEO satellite networks, the ant colony optimization-based routing algorithm is an improved version that considers the probability of faults and low-energy consumption. The proposed simulation ensures a seamless transition in the event of failures and avoids the requirement for an additional coordination service.

Optimization-Driven DRL-Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks

This paper investigates an intelligent reflecting surfaces (IRS) aided anti-jamming communication strategy in the integrated terrestrial-satellite network (ITSN), where the IRS is exploited to mitigate jamming interference and enhance the integrated system communication performance. In such a network, the terrestrial network and satellite network are co-existing with a spectrum-sharing scheme in the presence of a multi-antenna jammer. We aim at maximizing the weighted sum rate (WSR) of all users by jointly optimizing the terrestrial beamformers and IRS phase shifts while considering the signal-to-interference-plus-noise ratio (SINR) requirements of legitimate users. Different from the non-convex optimization techniques utilized in the IRS-related problem, a novel optimization-driven deep reinforcement learning (DRL) algorithm is proposed, which leverages both the robustness of model-free learning approaches and the efficiency of model-based optimization methods. In the optimization module of the proposed algorithm, we analyze the smart jammer under the unknown jamming model and derive a lower bound of the anti-jamming uncertainty, such that the IRS-aided anti-jamming problem can be solved by alteration method with second-order cone programming (SOCP) algorithm and semidefinite relaxation (SDR) technique. Simulation results demonstrate that the IRS can enhance the anti-jamming performance efficiently, and the proposed optimization-driven DRL algorithm can improve both the learning rate and the system performance compared with existing solutions.

Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks

Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks

Joint Broadcast and Unicast Transmission Based On RSMA and Spectrum Sharing for Integrated Satellite-Terrestrial Network

Joint Broadcast and Unicast Transmission Based On RSMA and Spectrum Sharing for Integrated Satellite-Terrestrial Network

Dynamic Multiple Access Based on RSMA and Spectrum Sharing for Integrated Satellite-Terrestrial Networks

Dynamic Multiple Access Based on RSMA and Spectrum Sharing for Integrated Satellite-Terrestrial Networks

Delay-Optimized Edge Caching in Integrated Satellite-Terrestrial Networks With Diverse Content Popularity Distribution and User Access Modes

Delay-Optimized Edge Caching in Integrated Satellite-Terrestrial Networks With Diverse Content Popularity Distribution and User Access Modes

Distributionally Robust Optimal Routing for Integrated Satellite-Terrestrial Networks Under Uncertainty

Distributionally Robust Optimal Routing for Integrated Satellite-Terrestrial Networks Under Uncertainty

On the Security and Reliability Trade-off of the Satellite Terrestrial Networks with Fountain Codes and Friendly Jamming

The performance of the satellite-terrestrial network with Fountain codes (FCs) is conducted in the present work. More precisely, the air-to-ground link is modeled according to the shadow-Rician distribution to capture the strong light-of-sight (LOS) path as well as the impact of the shadowing. As a result, we employ the directional beamforming at both the satellite and relay to mitigate such an ultra-long transmission distance. We investigate the trade-off between the reliability and security aspects. Particularly, we derive the outage probability (OP) and intercept probability (IP) in the closed-form expressions. To further facilitate the security of the considered networks, the friendly jamming scheme is deployed as well. Finally, simulation results based on the Monte-Carlo method are given to corroborate the exactness of the developed mathematical framework and to identify key parameters such as antenna gain, and transmit power that have a big impact on the considered networks.