Online Energy and Interference Management for Dynamic Target Tracking With Cellular-Connected UAV

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Cheng Zhan;Huan Yan;Rongfei Fan;Han Hu;Shubin Xu;Jian Yang
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引用次数: 0

Abstract

Cellular-connected Unmanned Aerial Vehicles (UAVs) have significant potential for target tracking in future cellular networks due to their broad coverage and operational flexibility. In this paper, we consider a multi-cell cellular network with a cellular-connected UAV for target tracking, which encounters challenges such as unpredictable flight energy consumption from the stochastic movements of the tracking target and severe uplink interference from ground devices (GDs). To tackle these challenges, we propose a multi-stage stochastic optimization framework focused on energy-efficient target tracking with interference coordination. Our objective is to optimize the long-term average uplink throughput of both aerial users and GDs by jointly optimizing the UAV's trajectory, power allocation, and cell association across multiple orthogonal communication resource blocks (RBs). The formulated stochastic non-convex problem is first transformed into a deterministic problem for each time slot by using the Lyapunov optimization framework. An online optimization strategy is proposed, utilizing the optimal structure, alternative optimization, and successive convex approximation (SCA) techniques. Simulation results show that the proposed approach significantly enhances network throughput and UAV energy queue stability compared to existing baseline schemes.
蜂窝互联无人机动态目标跟踪的在线能量与干扰管理
蜂窝连接的无人机(uav)由于其广泛的覆盖范围和操作灵活性,在未来的蜂窝网络中具有重要的目标跟踪潜力。在本文中,我们考虑了一个带有蜂窝连接无人机的多蜂窝网络用于目标跟踪,该网络遇到了跟踪目标随机运动带来的不可预测的飞行能量消耗和来自地面设备(GDs)的严重上行干扰等挑战。为了解决这些问题,我们提出了一个多阶段随机优化框架,重点关注具有干扰协调的节能目标跟踪。我们的目标是通过联合优化无人机的轨迹、功率分配和跨多个正交通信资源块(RBs)的小区关联来优化空中用户和gps的长期平均上行吞吐量。首先利用李雅普诺夫优化框架将公式化的随机非凸问题转化为每个时隙的确定性问题。提出了一种利用最优结构、备选优化和连续凸逼近(SCA)技术的在线优化策略。仿真结果表明,与现有的基线方案相比,该方法显著提高了网络吞吐量和无人机能量队列稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing 工程技术-电信学
CiteScore
12.90
自引率
2.50%
发文量
403
审稿时长
6.6 months
期刊介绍: IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.
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