Edge Information Hub: Orchestrating Satellites, UAVs, MEC, Sensing and Communications for 6G Closed-Loop Controls
An increasing number of field robots would be used for mission-critical tasks in remote or post-disaster areas. Due to the limited individual abilities, these robots usually require an edge information hub (EIH), with not only communication but also ...
Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm
- Shuhang Zhang,
- Qingyu Liu,
- Ke Chen,
- Boya Di,
- Hongliang Zhang,
- Wenhan Yang,
- Dusit Niyato,
- Zhu Han,
- H. Vincent Poor
The future sixth-generation (6G) of wireless networks is expected to surpass its predecessors by offering ubiquitous coverage through integrated air-ground deployments in both communication and computing domains. In such networks, aerial platforms, such ...
LEOEdge: A Satellite-Ground Cooperation Platform for the AI Inference in Large LEO Constellation
With the rapid growth of low earth orbit (LEO) satellites, enabling LEO AI inference becomes a fast-increasing trend. However, due to resource heterogeneity, scheduling complexity, and fast movement, how to decide the place of executing each AI inference ...
Joint Content Caching, Service Placement, and Task Offloading in UAV-Enabled Mobile Edge Computing Networks
In this paper, we consider an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) network, where multiple UAVs with caching and computation functionalities are deployed to satisfy the heterogeneous content and service requests from the user ...
On a Hierarchical Content Caching and Asynchronous Updating Scheme for Non-Terrestrial Network-Assisted Connected Automated Vehicles
With the advantages of seamless coverage and ubiquitous connections, Non-Terrestrial Networks (NTNs) composed of Low Earth Orbit (LEO) satellites and Unmanned Aerial Vehicles (UAVs) can provide content caching services for future Connected Automated ...
Doppler Interference Analysis for OTFS-Based LEO Satellite System
Low Earth orbit (LEO) satellite system has revolutionized the way to provide wireless seamless access on a global scale. One of the primary limitations is the low data rates resulting from Doppler shifts induced by the high mobility of LEO satellites. ...
Massive MIMO-OTFS-Based Random Access for Cooperative LEO Satellite Constellations
This paper investigates joint device identification, channel estimation, and symbol detection for cooperative multi-satellite-enhanced random access, where orthogonal time-frequency space modulation with the large antenna array is utilized to combat the ...
Joint User Identification, Channel Estimation, and Data Detection for Grant-Free NOMA in LEO Satellite Communications
Satellite Internet of things (S-IoT) aims to provide globally covered network services. In this paper, we conceive an uplink grant-free random access scheme for S-IoT network, where ground devices transmit data packets to the low Earth orbit (LEO) ...
Rate-Splitting for Joint Unicast and Multicast Transmission in LEO Satellite Networks With Non-Uniform Traffic Demand
Low Earth orbit (LEO) satellite communications (SATCOM) with ubiquitous global connectivity is deemed a pivotal catalyst in advancing wireless communication systems for 5G and beyond. LEO SATCOM excels in delivering versatile information services across ...
OTFS Versus OFDM: Which is Superior in Multiuser LEO Satellite Communications
Orthogonal time frequency space (OTFS) modulation, a delay-Doppler (DD) domain communication scheme exhibiting strong robustness against the Doppler shifts, has the potentials to be employed in LEO satellite communications. However, the performance ...
Coordinated Multi-Satellite Transmission for OTFS-Based 6G LEO Satellite Communication Systems
Low Earth orbit (LEO) satellite communications are the key enabler for achieving 6G ubiquitous connectivity. With the rapid progress of small satellite technology and the surging demands on direct-to-satellite services, a global wave of building LEO ...
Cooperative Non-Orthogonal Multiple Access With Index Modulation for Air-Ground Multi-UAV Networks
Unmanned aerial vehicles (UAVs) serve as flexible aerial platforms, enriching air-ground communication networks in various ways. To support massive connectivity within limited time-frequency blocks, non-orthogonal multiple access (NOMA) is proposed to be ...
UAV-Assisted Communications in SAGIN-ISAC: Mobile User Tracking and Robust Beamforming
Both the space-air-ground integrated networks (SAGIN) and the integrated sensing and communication (ISAC) are promising technologies in future communication systems. This paper investigates the mobile user (MU) tracking and robust beamforming design by ...
Cell-Free Massive Non-Terrestrial Networks
As a means to provide ubiquitous connectivity across the ground-air-space 3D network, low Earth orbit (LEO) satellite mega-constellation systems comprising thousands of LEO satellites have attracted significant interest from both academia and industry ...
Cooperative Ground-Satellite Scheduling and Power Allocation for Urban Air Mobility Networks
In this paper, we investigate a multi-user downlink scheduling and power allocation strategy for urban air mobility (UAM) within a 6G non-terrestrial network (NTN) framework that integrates satellite and ground networks. We consider a system model ...
SAST-VNE: A Flexible Framework for Network Slicing in 6G Integrated Satellite-Terrestrial Networks
Network slicing (NS) is one of the key techniques to manage logical and functionally separated networks on a common infrastructure, in a dynamic manner. As the complexity of virtualizing a full infrastructure required unprecedented effort, the initial ...
STAR-RIS Aided Covert Communication in UAV Air-Ground Networks
The combination of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and an unmanned aerial vehicle (UAV) can further improve channel quality and extend coverage. However, the high-quality air-to-ground link is ...
Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network
Near-space airship-borne communication network is recognized to be an indispensable component of the future integrated ground-air-space network thanks to airships’ advantage of long-term residency at stratospheric altitudes, but it urgently needs ...
Cooperative Multi-Satellite and Multi-RIS Beamforming: Enhancing LEO SatCom and Mitigating LEO-GEO Intersystem Interference
Satellite communication (SatCom) is regarded as a key enabler for bridging connectivity and capacity gaps in sixth-generation (6G) networks. However, the proliferation of Low Earth Orbit (LEO) satellites raises significant intersystem interference risks ...
Resilient Massive Access for SAGIN: A Deep Reinforcement Learning Approach
- Chaowei Wang,
- Mingliang Pang,
- Tong Wu,
- Feifei Gao,
- Lingli Zhao,
- Jiabin Chen,
- Wenyuan Wang,
- Dongming Wang,
- Zhi Zhang,
- Ping Zhang
In the visionary ideals of “Internet of Everything” and “Digital Twins”, the future 6G will deeply integrate diverse heterogeneous networks such as satellite and aerial networks to support seamless connectivity and efficient ...
Active RIS-Aided NOMA-Enabled Space- Air-Ground Integrated Networks With Cognitive Radio
In this work, we investigate an active reconfigurable intelligent surface (RIS)-aided non-orthogonal multiple access (NOMA)-enabled space-air-ground integrated network (SAGIN) with cognitive radio, leveraging the flexible deployment of an unmanned aerial ...
Graphic Deep Reinforcement Learning for Dynamic Resource Allocation in Space-Air-Ground Integrated Networks
Space-Air-Ground integrated network (SAGIN) is a crucial component of the 6G, enabling global and seamless communication coverage. This multi-layered communication system integrates space, air, and terrestrial segments, each with computational capability, ...
Resource Allocation for Adaptive Beam Alignment in UAV-Assisted Integrated Sensing and Communication Networks
Due to the high dynamic of unmanned aerial vehicle (UAV), the beam of UAV-mounted aerial base station (ABS) is difficult to align with ground users (GUs) and macro-cell base stations (MBSs), thereby reducing the communication rate. Towards this end, the ...
Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems
This work proposes a quantum-aided deep reinforcement learning (DRL) framework designed to enhance the accuracy of direction-of-arrival (DoA) estimation and the efficiency of computational task offloading in integrated sensing and communication systems. ...
Distributionally Robust Optimization of On-Orbit Resource Scheduling for Remote Sensing in Space-Air-Ground Integrated 6G Networks
With the rapid development of on-board computing technology, on-orbit information processing has become a new direction for reducing service response delays and improving the quality of space-based information services. Especially in space-air–...
Joint Optimization of User Association, Power Control, and Dynamic Spectrum Sharing for Integrated Aerial-Terrestrial Network
This paper proposes a novel integrated aerial-terrestrial multi-operator network in which each operator deploys a number of unmanned aerial vehicle-base stations (UAV-BSs) besides the terrestrial macro base station (MBS), where each BS reuses the operator&...
Corrections to “Coverage Rate Analysis for Integrated Sensing and Communication Networks”
- Xu Gan,
- Chongwen Huang,
- Zhaohui Yang,
- Xiaoming Chen,
- Jiguang He,
- Zhaoyang Zhang,
- Chau Yuen,
- Yong Liang Guan,
- Mérouane Debbah
Presents corrections to the paper, Coverage Rate Analysis for Integrated Sensing and Communication Networks.