Vertical Heterogeneous Networks Beyond 5G: CoMP Coverage Enhancement and Optimization
Tian Shi, Wenkun Wen, Peiran Wu, Minghua Xia

TL;DR
This paper explores enhancing downlink coverage in 3D low-altitude wireless networks by deploying UAVs as aerial base stations and employing CoMP transmission, with strategies for optimal UAV placement and coverage analysis.
Contribution
It introduces a CoMP framework for UAV and terrestrial base station cooperation and proposes a coverage-aware UAV deployment algorithm for improved connectivity.
Findings
CoMP significantly improves coverage probability in sparse aerial user scenarios.
Stochastic geometry provides closed-form expressions for coverage analysis.
Optimized UAV placement enhances cooperative coverage in underserved areas.
Abstract
Low-altitude wireless networks are increasingly vital for the low-altitude economy, enabling wireless coverage in high-mobility and hard-to-reach environments. However, providing reliable connectivity to sparsely distributed aerial users in dynamic three-dimensional (3D) spaces remains a significant challenge. This paper investigates downlink coverage enhancement in vertical heterogeneous networks (VHetNets) beyond 5G, where uncrewed aerial vehicles (UAVs) operate as emerging aerial base stations (ABSs) alongside legacy terrestrial base stations (TBSs). To improve coverage performance, we propose a coordinated multi-point (CoMP) transmission framework that enables joint transmission from ABSs and TBSs. This approach mitigates the limitations of non-uniform user distributions and enhances reliability for sparse aerial users. Two UAV deployment strategies are considered: \textit{i)}…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced MIMO Systems Optimization · Opportunistic and Delay-Tolerant Networks
