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基于推送和拉取的通信中年龄感知下行链路调度策略的实现与评估

Implementation and Evaluation of Age-Aware Downlink Scheduling Policies in Push-Based and Pull-Based Communication.

作者信息

Oğuz Tahir Kerem, Ceran Elif Tuğçe, Uysal Elif, Girici Tolga

机构信息

Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara 06800, Turkey.

Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara 06560, Turkey.

出版信息

Entropy (Basel). 2022 May 11;24(5):673. doi: 10.3390/e24050673.

DOI:10.3390/e24050673
PMID:35626558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9141388/
Abstract

As communication systems evolve to better cater to the needs of machine-type applications such as remote monitoring and networked control, advanced perspectives are required for the design of link layer protocols. The age of information (AoI) metric has firmly taken its place in the literature as a metric and tool to measure and control the data freshness demands of various applications. AoI measures the timeliness of transferred information from the point of view of the destination. In this study, we experimentally investigate AoI of multiple packet flows on a wireless multi-user link consisting of a transmitter (base station) and several receivers, implemented using software-defined radios (SDRs). We examine the performance of various scheduling policies under push-based and pull-based communication scenarios. For the push-based communication scenario, we implement age-aware scheduling policies from the literature and compare their performance with those of conventional scheduling methods. Then, we investigate the query age of information (QAoI) metric, an adaptation of the AoI concept for pull-based scenarios. We modify the former age-aware policies to propose variants that have a QAoI minimization objective. We share experimental results obtained in a simulation environment as well as on the SDR testbed.

摘要

随着通信系统不断演进以更好地满足远程监测和网络控制等机器类型应用的需求,链路层协议的设计需要先进的视角。信息年龄(AoI)指标已在文献中稳固地确立了其作为衡量和控制各种应用数据新鲜度需求的指标及工具的地位。AoI从目的地的角度衡量传输信息的及时性。在本研究中,我们通过实验研究了在由一个发射机(基站)和多个接收机组成的无线多用户链路上多个数据包流的AoI,该链路使用软件定义无线电(SDR)实现。我们研究了基于推送和基于拉取的通信场景下各种调度策略的性能。对于基于推送的通信场景,我们实现了文献中的年龄感知调度策略,并将其性能与传统调度方法的性能进行比较。然后,我们研究了信息查询年龄(QAoI)指标,它是AoI概念在基于拉取场景下的一种变体。我们修改了之前的年龄感知策略,提出了以最小化QAoI为目标的变体。我们分享了在模拟环境以及SDR测试平台上获得的实验结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/4c429bfda221/entropy-24-00673-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/c2151e93ca6d/entropy-24-00673-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/79276ff26a83/entropy-24-00673-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/b0a9064599c8/entropy-24-00673-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/ab1a3230652a/entropy-24-00673-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/72336008baa5/entropy-24-00673-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/d1b71ee0623b/entropy-24-00673-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/40d7d3ba9c02/entropy-24-00673-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/8bf4085bf273/entropy-24-00673-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/b9d7487f9b42/entropy-24-00673-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/35505d94ad25/entropy-24-00673-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/dcec8d3760a0/entropy-24-00673-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/f7d05e8058de/entropy-24-00673-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/4c429bfda221/entropy-24-00673-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/c2151e93ca6d/entropy-24-00673-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/79276ff26a83/entropy-24-00673-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/b0a9064599c8/entropy-24-00673-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/ab1a3230652a/entropy-24-00673-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/72336008baa5/entropy-24-00673-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/d1b71ee0623b/entropy-24-00673-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/40d7d3ba9c02/entropy-24-00673-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/8bf4085bf273/entropy-24-00673-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/b9d7487f9b42/entropy-24-00673-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/35505d94ad25/entropy-24-00673-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/dcec8d3760a0/entropy-24-00673-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/f7d05e8058de/entropy-24-00673-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b05/9141388/4c429bfda221/entropy-24-00673-g016.jpg

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