Handover_Management_in_UAV_Networks_with_Blockages

TL;DR

This paper analyzes UAV-based network performance in urban environments with blockages using stochastic geometry, and proposes a cache-based handover strategy to improve reliability and reduce unnecessary handovers for mobile users.

Contribution

It introduces a stochastic geometry model for UAV networks considering blockages and proposes a novel cache-based handover management strategy to enhance user experience.

Findings

Blockages significantly impact network reliability and SINR distribution.

The proposed cache-based handover strategy reduces unnecessary handovers.

The approach improves connectivity and QoS in urban UAV networks.

Abstract

We investigate the performance of unmanned aerial vehicle (UAV)-based networks in urban environments characterized by blockages, focusing on their capability to support the service demands of mobile users. The UAV-base stations (UAV-BSs) are modeled using a two-dimensional (2-D) marked- Poisson point process (MPPP), where the marks represent the altitude of each UAV-BS. Leveraging stochastic geometry, we analyze the impact of blockages on network reliability by studying the meta distribution (MD) of the signal-to-interference noise ratio (SINR) for a specific reliability threshold and the association probabilities for both line-of-sight (LoS) and non line-of-sight (NLoS) UAV-BSs. Furthermore, to enhance the performance of mobile users, we propose a novel cache-based handover management strategy that dynamically selects the cell search time and delays the received signal strength (RSS)-based base station (BS) associations. This strategy aims to minimize unnecessary handovers (HOs) experienced by users by leveraging caching capabilities at user equipment (UE), thus reducing latency, ensuring seamless connectivity, and maintaining the quality of service (QoS). This study provides valuable insights into optimizing UAV network deployments to support the stringent requirements in the network, ensuring reliable, low-latency, and high-throughput communication for next-generation smart cities.