activity
20242026
most citedStochastic Geometry Based Modelling and Analysis of Uplink Cooperative Satellite-Aerial-Terrestrial Networks for Nomadic Communications with Weak Satellite Coverage

14 citations · 25 across the 10 of their papers we have counts for

collaborators

11 papers

cs.NI2026

Thermodynamic Digital Twins: Physics-Native Semantic Synchronization for 6G Kinetic Swarms

Wen-Yu Dong, Weiwei Jiang, Song Zhao +3

The synchronization of large-scale kinetic swarms with digital twin networks can generate substantial signaling overhead when predictable motion is repeatedly reported. To reduce s…

cs.NI2026

Sea-State-Induced Performance Transition in Maritime Networks: A Roughness-Aware Stochastic Geometry Framework

Wen-Yu Dong, Shaoshi Yang, Song Zhao +3

Analytical studies of maritime wireless networks commonly assume a deterministic smooth sea surface, leaving unclear how realistic ocean conditions reshape network-level reliabilit…

cs.NI2026

Fluid-Dynamic Interference Modeling for LEO Mega-Constellations: A Spatiotemporal Kinetic Field Approach

Wen-Yu Dong, Weiwei Jiang, Song Zhao +3

Low Earth orbit (LEO) mega-constellations create a highly non-stationary interference environment that cannot be accurately captured by static stochastic-geometry snapshots. This p…

cs.NI2026

Proper Sea Surface Roughness Enhances the Performance of Near-Shore Maritime Networks

Wen-Yu Dong, Shaoshi Yang, Song Zhao +5

Accurate performance analysis for near-shore maritime wireless communication is essential for ensuring robust and reliable operations. However, existing analytical models often rel…

cs.NI2026

Digital Tides: A Fluid-Dynamic Framework for Flux-Aware Infrastructure Provisioning in UAV Logistics Networks

Wen-Yu Dong, Song Zhao, Rui-Si Han +2

The emergence of high-frequency pulsating logistics unmanned aerial vehicle (UAV) swarms gives rise to ``Digital Tides'', i.e., complex traffic dynamics that challenge sustainable…

cs.NI2026

Vorticity Dissipation Based Routing: A Fluid-Kinetic Framework for Loop-Free Transport in Ultra-Dense Networks

Wen-Yu Dong, Weiwei Jiang, Song Zhao +3

Discrete routing protocols in ultra-dense wireless networks are constrained by signaling overhead and transient routing loops that degrade radio-resource efficiency. While continuu…

cs.NI2026

Fluid-Spatiotemporal Stochastic Geometry: Information Flow in Non-Stationary Fields

Wen-Yu Dong, Weiwei Jiang, Song Zhao +2

The fundamental limits of information flow in spatial networks are usually characterized under stationary spatial point processes, but this assumption cannot capture non-stationary…

cs.NI2025★ 4 cited

Modeling and Performance Analysis of IoT-over-LEO Satellite Systems under Realistic Operational Constraints: A Stochastic Geometry Approach

Wen-Yu Dong, Shaoshi Yang, Ping Zhang +1

Current theoretical studies on IoT-over-LEO satellite systems often rely on unrealistic assumptions, such as infinite terrestrial areas and omnidirectional satellite coverage, leav…

cs.NI2025★ 5 cited

Betweenness Centrality Based Dynamic Source Routing for Flying Ad Hoc Networks in Marching Formation

Shaoshi Yang, Wei Zhao, Chu-Meng Wang +2

Designing high-performance routing protocols for flying ad hoc networks (FANETs) is challenging due to the diversity of applications and the dynamics of network topology. The exist…

cs.NI2024★ 2 cited

Outage Probability Analysis of Uplink Heterogeneous Non-terrestrial Networks: A Novel Stochastic Geometry Model

Wen-Yu Dong, Shaoshi Yang, Wei Lin +3

In harsh environments such as mountainous terrain, dense vegetation areas, or urban landscapes, a single type of unmanned aerial vehicles (UAVs) may encounter challenges like fligh…

cs.NI2024★ 14 cited

Stochastic Geometry Based Modelling and Analysis of Uplink Cooperative Satellite-Aerial-Terrestrial Networks for Nomadic Communications with Weak Satellite Coverage

Wen-Yu Dong, Shaoshi Yang, Ping Zhang +1

Cooperative satellite-aerial-terrestrial networks (CSATNs), where unmanned aerial vehicles (UAVs) are utilized as nomadic aerial relays (A), are highly valuable for many important…