摘要翻译:
我们考虑一个能量收集源,它在通信会话时间内从物理现象中收集测量值并将更新发送到目的地。更新会导致传输延迟,这是传输中使用的能量的函数。每次更新使用的传输能量越多,到达目的地的速度就越快。目标是以及时的方式发送更新,即,在能量因果关系约束的情况下,使得信息的总时间在通信会话结束时最小化。我们考虑这个问题的两个变体。在第一个设置中,源控制测量更新的数量、它们的传输时间和在它们的传输中使用的能量量(这控制它们所引起的延迟或服务时间)。在第二种设置中,测量更新随着时间的推移而从外部到达,因此更新的数量变得固定,代价是为问题添加数据因果关系约束。我们在这两种情况下刻画了年龄最小策略,并讨论了信息年龄度量与能量收集文献中使用的其他度量的关系。
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英文标题:
《Age Minimization in Energy Harvesting Communications: Energy-Controlled
Delays》
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作者:
Ahmed Arafa, Sennur Ulukus
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最新提交年份:
2017
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Information Theory 信息论
分类描述:Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
涵盖信息论和编码的理论和实验方面。包括ACM学科类E.4中的材料,并与H.1.1有交集。
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一级分类:Computer Science 计算机科学
二级分类:Networking and Internet Architecture 网络和因特网体系结构
分类描述:Covers all aspects of computer communication networks, including network architecture and design, network protocols, and internetwork standards (like TCP/IP). Also includes topics, such as web caching, that are directly relevant to Internet architecture and performance. Roughly includes all of ACM Subject Class C.2 except C.2.4, which is more likely to have Distributed, Parallel, and Cluster Computing as the primary subject area.
涵盖计算机通信网络的所有方面,包括网络体系结构和设计、网络协议和网络间标准(如TCP/IP)。还包括与Internet体系结构和性能直接相关的主题,如web缓存。大致包括除C.2.4以外的所有ACM主题类C.2,后者更有可能将分布式、并行和集群计算作为主要主题领域。
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一级分类:Electrical Engineering and Systems Science 电气工程与系统科学
二级分类:Signal Processing 信号处理
分类描述:Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用,包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、(生物)医学、图像、视频和多模态自然和人为信号,包括通信信号和数据。感兴趣的主题包括:统计信号处理、谱估计和系统辨识;滤波器设计;自适应滤波/随机学习;(压缩)采样、传感和变换域方法,包括快速算法;用于机器学习的信号处理和用于信号处理应用的机器学习;网络与图形信号处理;信号处理中的凸和非凸优化方法;雷达、声纳和传感器阵列波束形成和测向;通信信号处理;低功耗、多核、片上系统信号处理;信息物理系统的传感、通信、分析和优化,如电网和物联网。
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一级分类:Mathematics 数学
二级分类:Information Theory 信息论
分类描述:math.IT is an alias for cs.IT. Covers theoretical and experimental aspects of information theory and coding.
它是cs.it的别名。涵盖信息论和编码的理论和实验方面。
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英文摘要:
We consider an energy harvesting source that is collecting measurements from a physical phenomenon and sending updates to a destination within a communication session time. Updates incur transmission delays that are function of the energy used in their transmission. The more transmission energy used per update, the faster it reaches the destination. The goal is to transmit updates in a timely manner, namely, such that the total age of information is minimized by the end of the communication session, subject to energy causality constraints. We consider two variations of this problem. In the first setting, the source controls the number of measurement updates, their transmission times, and the amounts of energy used in their transmission (which govern their delays, or service times, incurred). In the second setting, measurement updates externally arrive over time, and therefore the number of updates becomes fixed, at the expense of adding data causality constraints to the problem. We characterize age-minimal policies in the two settings, and discuss the relationship of the age of information metric to other metrics used in the energy harvesting literature.
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PDF链接:
https://arxiv.org/pdf/1712.03945