Wireless Communications & Mobile Computing最新文献

Over-the-Air Computation with Quantized CSI and Discrete Power Control Levels 无线计算与量化CSI和离散功率控制水平

4区计算机科学

Wireless Communications & Mobile Computing Pub Date : 2023-11-13 DOI: 10.1155/2023/8559701

Christos Tsinos, Sotirios Spantideas, Anastasios Giannopoulos, Panagiotis Trakadas

{"title":"Over-the-Air Computation with Quantized CSI and Discrete Power Control Levels","authors":"Christos Tsinos, Sotirios Spantideas, Anastasios Giannopoulos, Panagiotis Trakadas","doi":"10.1155/2023/8559701","DOIUrl":"https://doi.org/10.1155/2023/8559701","url":null,"abstract":"In this paper, an Over-the-Air Computation (AirComp) scheme for fast data aggregation is considered. Multisource data are simultaneously transmitted by single-antenna mobile devices to a single-antenna fusion center (FC) through a wireless multiple-access channel. The optimal power levels at the devices and a postprocessing scaling function at the FC are jointly derived such that mean square error of the computation is minimized. Different than the existing approaches that rely on perfect channel state information (CSI) at the FC and assume that the devices’ optimal power levels can be selected from an infinite solution set, in the present paper, it is assumed that only quantized CSI is available at the FC and that the aforementioned optimal power levels lie in a finite discrete set of solutions. To derive the optimal power levels and FC’s scaling factor, a difficult nonconvex constrained optimization problem is formulated. An efficient and robust solution to quantization errors is developed via the deep reinforcement learning framework. Numerical results verify the good performance of the proposed approach while it exhibits a significant reduction in the required feedback.","PeriodicalId":49359,"journal":{"name":"Wireless Communications & Mobile Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Enhanced Ant Colony Algorithm-Based Low-Carbon Distribution Control Method for Logistics Leveraging Internet of Things (IoT) 基于增强蚁群算法的物联网物流低碳配送控制方法

4区计算机科学

Wireless Communications & Mobile Computing Pub Date : 2023-11-11 DOI: 10.1155/2023/5555221

You-wu Liu, Jun-long Li, Ming-yue Liu, Bian-bian Jiao

引用次数: 0

Dual Antenna-Based Line Crossing Detection with UHF RFID 基于双天线的超高频射频识别交叉检测

4区计算机科学

Wireless Communications & Mobile Computing Pub Date : 2023-11-10 DOI: 10.1155/2023/3808281

Xingyu Chen, Xuan Wang, Kai Xun, Xia Wang, Jia Liu, Zhihong Zhao, Lijun Chen

{"title":"Dual Antenna-Based Line Crossing Detection with UHF RFID","authors":"Xingyu Chen, Xuan Wang, Kai Xun, Xia Wang, Jia Liu, Zhihong Zhao, Lijun Chen","doi":"10.1155/2023/3808281","DOIUrl":"https://doi.org/10.1155/2023/3808281","url":null,"abstract":"Line crossing detection is to check whether people or objects go across a given barrier line, which is quite common and important in our daily life, such as the electronic article surveillance (EAS) checkpoint in a retail store or the finish line in track and field. Although existing solutions to line crossing detection have achieved great advancement, they do not function well when multiple objects or people cross the line at the same time. In this paper, we propose a new radio frequency identification (RFID)-based solution called RF-Line to line crossing detection, especially for multiobject scenarios. The biggest challenge is that the RFID reader’s coverage zone is invisible and irregular; we cannot roughly take the time when a tag is seen by the reader for the first time as the time when line crossing occurs. In RF-Line, we deploy two antennas opposite to each other and collect the RF phase profiles of two antennas at the same time. By a series of geometric transformations and mathematical derivations, we find that summing up the two phase profiles will get a new phase curve, in which the inflection point of the curve is the time of line crossing. In addition, we address the problem of turning back or long stay on the barrier line. We implement RF-Line with commodity RFID systems. Extensive experiments show that RF-Line can achieve accurate line crossing detection with a small error of 6.1 cm, with no need for any system calibration or complicated deployment.","PeriodicalId":49359,"journal":{"name":"Wireless Communications & Mobile Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135091768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Millimeter Wave Wireless Channel Knowledge Map Construction Based on Path Matching and Environment Partitioning 基于路径匹配和环境划分的毫米波无线信道知识图谱构建

4区计算机科学

Wireless Communications & Mobile Computing Pub Date : 2023-11-09 DOI: 10.1155/2023/6671048

Zeyang Li, Qidong Gao, Wence Zhang, Xu Bao, Jing Xia, Zhaowen Zheng

{"title":"Millimeter Wave Wireless Channel Knowledge Map Construction Based on Path Matching and Environment Partitioning","authors":"Zeyang Li, Qidong Gao, Wence Zhang, Xu Bao, Jing Xia, Zhaowen Zheng","doi":"10.1155/2023/6671048","DOIUrl":"https://doi.org/10.1155/2023/6671048","url":null,"abstract":"Key technologies in 5G and future 6G, such as millimeter wave massive multiple-input multiple-output (MIMO), relies accurate channel state information (CSI). However, when the number of base station (BS) antenna increases or the number of users is large, it is rather resource-consuming to obtain the CSI. Channel knowledge map (CKM) is an emerging environment-aware wireless communication technology, which stores the physical coordinates of BS and reference locations together with the corresponding channel path information. This makes it possible to obtain CSI with light or even without pilots, which can significantly reduce the overhead of channel estimation and improve system performance, especially suitable for quasi-static wireless environments with relatively stable channels and communication systems using millimeter waves, terahertz waves, visible light, and so on. The main challenge for CKM is how to construct an accurate CKM based on finite measurement data points at limited reference locations. In this work, we proposed a novel CKM construction method based on path matching and environmental partitioning (PMEP-CC) to address the above issues. Specifically, we first sort the propagation paths between reference locations, map them to a high-dimensional space to establish the path correlation coefficient between two reference locations. Then, the communication region are divided into different subregions based on its spatial correlation. Finally, the path information at locations where no measurements are available are estimated based on the known path information within the subregion to construct CKM. Numerical results are provided to show the performance of the proposed method over related studies.","PeriodicalId":49359,"journal":{"name":"Wireless Communications & Mobile Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135290920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Retracted: Exploration of Regional Public Digital Culture Service Mode Based on Artificial Intelligence Technology 撤下:基于人工智能技术的区域公共数字文化服务模式探索

4区计算机科学

Wireless Communications & Mobile Computing Pub Date : 2023-11-01 DOI: 10.1155/2023/9759487