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Open AccessJournal ArticleDOI

Performance Analysis of Power Control in Urban UAV Networks with 3D Blockage Effects

TLDR
In this paper, a dynamic UAV group (UAVG) is organized to serve each user for interference coordination, which consists several nearest visible UAVs with line-of-sight (LOS) connections considering buildings blockage effects, and the modified distribution from user to its nearest unblocked UAV is derived.
Abstract
In urban UAV networks, UAVs deployment locations and air-to-ground (AtG) communication links will possibly conflict with densely located buildings, which exacerbate network irregularity and make interference management more complicated. This paper proposes interference coordination via power control under 3D blockage effects in urban environment, where building blockages are formed a Boolean model with independent heights (Hk) followed Rayleigh distribution, and analyzes system performance using tools from stochastic geometry. Specifically, a dynamic UAV group (UAVG) is organized to serve each user for interference coordination, which consists several nearest visible UAVs with line-of-sight (LOS) connections considering buildings blockage effects, and the modified distribution from user to its nearest unblocked UAV is derived. Power control is executed in UAVG where adjacent interfering UAVs within the group will mute their transmission for interference mitigation, and optimal UAVG radius coefficient is obtained, which reveals the trade off between interference mitigation and resource utilization. Leveraging stochastic geometry, theoretical expressions of network metrics are derived with Nakagami-m fading assumption, including network coverage probability and network connectivity. Analytical results show that in urban city scenario, comparing with traditional terrestrial networks, coverage performance can achieve 4.1 gain by deploying UAVs with optimal height, and achieve additional 26% gain.

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Journal ArticleDOI

Directional Antennas Modeling and Coverage Analysis of UAV-Assisted Networks

TL;DR: System performance of UAV-assisted networks with conic directional antenna model by deriving network coverage probability via stochastic geometry, where UAVs and macro base stations (MBSs) are deployed according to independent Poisson point process is analyzed.
Journal ArticleDOI

Directional Antennas Modeling and Coverage Analysis of UAV-Assisted Networks

TL;DR: In this paper , the authors analyzed the performance of UAV-assisted networks with conic directional antenna model by deriving network coverage probability via stochastic geometry, where UAVs and macro base stations (MBSs) are deployed according to independent Poisson point process.
Journal ArticleDOI

A greedy-model-based reinforcement learning algorithm for Beyond-5G cooperative data collection

TL;DR: In this paper, a data collection process is modeled as a Markov decision process (MDP), and two heuristic greedy algorithms, namely distance-greedy (DG) algorithm and rate-Greedy (RG) algorithm, are designed based on prior knowledge of the system and can guarantee the completion of the data aggregation process in a remote area without the help of fixed communication infrastructures.
Journal ArticleDOI

Temporal Correlation and Joint Coverage for Finite 3-D UAV Networks With Blockage Effects

TL;DR: In this paper , the exact expressions of temporal correlation and joint coverage are derived, where all UAVs move independently in spatial and vertical directions according to random waypoint (RWP) mobility process within finite 3D area and the impact of building blockage effect is theoretically characterized.
Journal ArticleDOI

Temporal Correlation and Joint Coverage for Finite 3-D UAV Networks With Blockage Effects

TL;DR: In this article , the exact expressions of temporal correlation and joint coverage are derived, where all UAVs move independently in spatial and vertical directions according to random waypoint (RWP) mobility process within finite 3D area and the impact of building blockage effect is theoretically characterized.