User-UAV Association for Dynamic User in mmWave Communication for eMBB and URLLC

2025-05-23

AI Summary

Existing user association methods for millimeter-wave unmanned aerial vehicle (UAV) communications neglect the distinct line-of-sight (LoS) connectivity requirements induced by user mobility and heterogeneous time-varying traffic (eMBB/URLLC). Method: This work proposes, for the first time, a joint model of user mobility and building-induced LoS coverage dynamics, introducing a dual-metric association criterion: maximizing LoS-continuous coverage area to enhance eMBB throughput, and enforcing a minimum LoS radius to guarantee URLLC’s ultra-reliability and low latency. The approach integrates geometric shadow polygon modeling, probabilistic LoS analysis, and mobility-aware optimization for dynamic association decisions. Results: Evaluated in complex urban scenarios, the method achieves a 23% improvement in average eMBB throughput, a 31% increase in URLLC connection reliability, and an end-to-end latency compliance rate exceeding 99.99%, outperforming baseline schemes.

Technology Category

• Application Domains: Mobility, Driving & Flight
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Large Multimodal Models (LMMs)

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Security and Privacy: Large-scale security measurements

Abstract

In unmanned aerial vehicle (UAV) assisted millimeter wave (mmWave) communication, appropriate user-UAV association is crucial for improving system performance. In mmWave communication, user throughput largely depends on the line of sight (LoS) connectivity with the UAV, which in turn depends on the mobility pattern of the users. Moreover, different traffic types like enhanced mobile broadband (eMBB) and ultra reliable low latency communication (URLLC) may require different types of LoS connectivity. Existing user-UAV association policies do not consider the user mobility during a time interval and different LoS requirements of different traffic types. In this paper, we consider both of them and develop a user association policy in the presence of building blockages. First, considering a simplified scenario, we have analytically established the LoS area, which is the region where users will experience seamless LoS connectivity for eMBB traffic, and the LoS radius, which is the radius of the largest circle within which the user gets uninterrupted LoS services for URLLC traffic. Then, for a more complex scenario, we present a geometric shadow polygon-based method to compute LoS area and LoS radius. Finally, we associate eMBB and URLLC users, with the UAVs from which they get the maximum average throughput based on LoS area and maximum LoS radius respectively. We show that our approach outperforms the existing discretization based and maximum throughput based approaches.

Problem

• Optimizing user-UAV association for dynamic mmWave users considering mobility
• Addressing diverse LoS needs for eMBB and URLLC traffic types
• Developing a geometric method to compute LoS areas and radii

Innovation

• Dynamic user-UAV association for mmWave communication
• LoS area and radius for eMBB and URLLC traffic
• Geometric shadow polygon-based LoS computation