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Energy-Efficient Optimization for IRS-Enabled Multiantenna UAV Video Streaming

delete2024-03-15
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PRE
AI
J
Jingrui Liao
詹成 cover
詹成 (Cheng Zhan) *
B
Bin Zeng
H
Huan Yan
DOI:10.1109/JIOT.2023.3323308delete
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Abstract

Abstract

En 中文
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for aerial surveillance applications, such as traffic monitoring, disaster management, and infrastructure inspection. However, in urban environments, ground-based obstructions frequently disrupt the Line-of-Sight (LoS) links between the unmanned aerial vehicle (UAV) and ground users (GUs), which leads to significant performance degradation in video streaming transmission. To enhance air-to-ground (A2G) communication quality, intelligent reflecting surfaces (IRSs) can be employed to construct reconfigurable UAV- IRS- GU links. In this article, we present a novel framework that integrates an IRS with a multiantenna UAV to enable high-quality aerial video streaming service for a group of GUs simultaneously. By jointly optimizing the UAV trajectory, operation time, transmit beamforming, and phase shifts, the total energy consumption of the UAV is minimized while satisfying Quality of Service (QoS) requirements for video streaming. The problem is formulated as an intractable nonconvex optimization problem with closely coupled variables. To tackle such a challenge, we propose a two-stage algorithm to obtain a suboptimal solution. The first stage focuses on minimizing the UAV's propulsion energy consumption through path discretization, alternating optimization (AO), and successive convex approximation (SCA) techniques. The second stage focuses on communication energy minimization, achieved through a double-loop iterative algorithm based on the penalty-based block coordinate descent (P-BCD) technique. Simulation results verify the effectiveness of the proposed algorithms and show significant energy savings compared to several baseline schemes.
Keywords:
Autonomous aerial vehicles
Streaming media
Array signal processing
Propulsion
Quality of service
Optimization
Surveillance
Intelligent reflecting surface (IRS)
multiantenna
Quality of Service (QoS)
unmanned aerial vehicle (UAV)
video streaming

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

S
southwest university - china
Scholars:
2.6W
Papers: 1.9W
Citations: 21
Cited Papers

Cited Papers

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Unmanned Aircraft System Aided Adaptive Video Streaming: A Joint Optimization Approach
err2020-03-01
err32
PREAI
errZhan, Cheng; Hu, Han; Wang, Zhi; Fan, Rongfei; Niyato, Dusit
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Maximizing Energy Efficiency in UAV-Assisted NOMA-MEC Networks
err2023-12-15
err31
PREAI
errLiu, Zhixin; Qi, Junxiao; Shen, Yanyan; Ma, Kai; Guan, Xinping
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Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial
err2021-05-01
err1.5K
errOAAI
errWu, Qingqing; Zhang, Shuowen; Zheng, Beixiong; You, Changsheng; Zhang, Rui
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Joint Location and Beamforming Optimization for STAR-RIS Aided NOMA-UAV Networks
err2023-08-01
err26
errOAAI
errSu, Yuhua; Pang, Xiaowei; Lu, Weidang; Zhao, Nan; Wang, Xianbin; Nallanathan, Arumugam
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Smart and Reconfigurable Wireless Communications: From IRS Modeling to Algorithm Design
err2021-12-01
err77
errOAAI
errYu, Xianghao; Jamali, Vahid; Xu, Dongfang; Ng, Derrick Wing Kwan; Schober, Robert
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IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design
err2022-02-01
err200
errOAAI
errPang, Xiaowei; Zhao, Nan; Tang, Jie; Wu, Celimuge; Niyato, Dusit; Wong, Kai-Kit
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