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

TL;DR

This paper proposes a novel user-UAV association policy for mmWave communication that considers user mobility and traffic-specific LoS requirements, improving system throughput for eMBB and URLLC services.

Contribution

It introduces a geometric shadow polygon-based method to compute LoS regions and develops a user association policy considering mobility and traffic types, outperforming existing methods.

Findings

The proposed method increases system throughput for eMBB and URLLC.

It effectively models LoS regions considering building blockages.

Outperforms existing discretization and maximum throughput approaches.

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.