2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)最新文献_第6页

User Mobility-Aware Time Stamp for UAV-BS Placement 用户移动感知时间戳的无人机- bs安置

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420032

Mansi Peer, V. Bohara, A. Srivastava, Gourab Ghatak

引用次数: 4

Study of Reconfigurable Intelligent Surface Assisted Communications over Frequency Selected Channels 基于选频信道的可重构智能表面辅助通信研究

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420024

Kun Yang, Jian Yao, D. Jiang, Fei Qin

{"title":"Study of Reconfigurable Intelligent Surface Assisted Communications over Frequency Selected Channels","authors":"Kun Yang, Jian Yao, D. Jiang, Fei Qin","doi":"10.1109/WCNCW49093.2021.9420024","DOIUrl":"https://doi.org/10.1109/WCNCW49093.2021.9420024","url":null,"abstract":"In this paper, we study a downlink multi-input single-output (MISO) system with the assist of reconfigurable intelligent surfaces (RIS) in the frequency selected channel environment. The transmission from a multi-antenna base station (BS) to the single antenna user equipment (UE) is realized via the multiple propagation paths among which one path is contributed by the RIS reflection. In addition, a practical restriction is considered where only a limited number of discrete phase shifts per RIS element can be provided corresponding to the limited control information from RIS controller. An optimizing problem aiming to maximize the achiveable bit rate is formulated jointly considering the continuous digital beamforming at BS and the discrete phase analog beamforming at RIS. With the help of the spatial propagation model between BS/UE and RIS, the approximate solutions are derived to solve this problem for the case of single subcarrier and multiple subcarriers. The simulation results valify the effectiveness of the proposed approximate solutions for the multiple subcarriers scheduling conditions, and provide a considerable performance gain of RIS assisted MISO system compared to that of the traditional wireless system without RIS assistance.","PeriodicalId":262379,"journal":{"name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127658269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed Resource Allocation for NOMA-Based Mobile Edge Computing with Content Caching 基于内容缓存的移动边缘计算的分布式资源分配

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420041

Zhen Zhang, Qingqing Li, Wuhui Chen, Zicong Hong

引用次数: 2

LSTM-Based Jamming Detection for Satellite Communication with Alpha-Stable Noise 基于lstm的稳定噪声卫星通信干扰检测

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420017

Mingqian Liu, Lei Jin, Bodong Shang

{"title":"LSTM-Based Jamming Detection for Satellite Communication with Alpha-Stable Noise","authors":"Mingqian Liu, Lei Jin, Bodong Shang","doi":"10.1109/WCNCW49093.2021.9420017","DOIUrl":"https://doi.org/10.1109/WCNCW49093.2021.9420017","url":null,"abstract":"In this paper, we propose an intelligent detection method for satellite communication jamming based on the long and short-term memory (LSTM) networks. The LSTM network can effectively predict the value of the signal at a particular moment. Specifically, a myriad filter is used to suppress the alpha-stable noise in the receiving signal to guarantee that the suppressed noise follows the Gaussian distribution approximately. For the LSTM network training, a priori noise-free jamming signal is used to ensure that the network has a specific memory of the jamming signal. Then, we utilize the trained LSTM network for satellite communication jamming detection. Furthermore, the mean square error between the predicted value and the actual value is examined as the test statistic. It is observed that the mean square error with the only input of noise is larger than that with the inputs of both signal and noise. In addition, a threshold is obtained by recording the noise-only signal into the network multiple times. Consequently, the detection of jamming signals is achieved based on the proposed model. Simulation results show that the detection rate of the satellite communication jamming can reach 98% when the jamming-to-noise ratio is 7dB.","PeriodicalId":262379,"journal":{"name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133233426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

DAST: An aggregation scheme for crowdsensed indoor data exploiting sequential long-tail features DAST:一种利用序列长尾特征的室内众感数据聚合方案

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420031

Yawen Zhong, Yichen Guo, Yufeng Wang, Qun Jin

{"title":"DAST: An aggregation scheme for crowdsensed indoor data exploiting sequential long-tail features","authors":"Yawen Zhong, Yichen Guo, Yufeng Wang, Qun Jin","doi":"10.1109/WCNCW49093.2021.9420031","DOIUrl":"https://doi.org/10.1109/WCNCW49093.2021.9420031","url":null,"abstract":"In the era of big data, information about the same objects can be gathered and accumulated from multiple sources (i.e., crowdworkers) through so-called crowdsensing. Especially, in the indoor positioning system using Bluetooth fingerprints, multiple crowdworkers are required to collect the information of Bluetooth beacons at the reference points and the corresponding received signal strength indicators (RSSI). Due to the unknown proper and bias of each crowdworker, it is challenging to appropriately estimate the reliability of each worker/source and truthfully aggregate data. Moreover, the collected data possesses two properties: they follow long-tail, where most of the data is gathered by a few sources, i.e., abundant crowdworkers only provide small amount; they have time-sequential feature: the truth about the crowdsensing tasks smoothly evolve with time. In response to the above problem and data features, this paper proposes an accurate data aggregation mechanism incorporating sequential long-tail characteristics, DAST. Specifically, we infer each source's credibility based on the estimated confidence interval using the amount of data historically provided by the source. Meanwhile, in order to capture the sequential characteristics of the data, the accumulated data in previous period is used as a virtual source to obtain the new aggregated value for the current period. Thorough simulations using artificial data and real data demonstrate that the performance of DAST is superior to the existed schemes including Confidence-Aware Truth Discovery (CATD), Precision-Recall (PrecRec) and Dynamic Truth Discovery (DynaTD) in terms of the mean absolute error (MAE) and the root mean square error (RMSE).","PeriodicalId":262379,"journal":{"name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134433303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Reinforcement Learning Based Decoding Method of Short Polar Codes 一种基于强化学习的短极码译码方法

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420004

Jian Gao, K. Niu

引用次数: 0

Bispectral Resource Allocation With Imperfect CSI 不完全CSI下的双频谱资源分配

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420027

Lei Zhao, Wenjie Zhang, M. Jiang

引用次数: 1

Learning-based Content Caching in Collaborative Edge Networks 协作边缘网络中基于学习的内容缓存

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9420003

Zhenfeng Sun, Weiqiang Guo, M. R. Nakhai, M. Dohler

{"title":"Learning-based Content Caching in Collaborative Edge Networks","authors":"Zhenfeng Sun, Weiqiang Guo, M. R. Nakhai, M. Dohler","doi":"10.1109/WCNCW49093.2021.9420003","DOIUrl":"https://doi.org/10.1109/WCNCW49093.2021.9420003","url":null,"abstract":"Wireless caching techniques are widely adopted in edge computing systems to improve the quality of services at the edge of the network. This paper studies the problem of online content caching and elimination without the in-advance knowledge of content popularity in a collaborative edge caching network, which consists of a set of edge nodes equipped with base stations and storage units. We aim to minimize the content providers’ cost while ensuring the quality of service (QoS) in the long run under the uncertainties of requested content. To this end, we formulate the problem of minimizing the system cost consisting of cache cost, migration cost and QoS penalty cost. In order to address this problem, we propose an algorithm for Collaborative Edge Caching based on the Thompson Sampling (CEC-TS) technique to update the caching decisions via adaptive learning of the popularity of requested contents. Simulation results demonstrate that the proposed CEC-TS algorithm achieves lower content providers’ and QoS penalty cost against baseline schemes, i.e., the cloud-only and the first-in first-out (FIFO), in the long run.","PeriodicalId":262379,"journal":{"name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116298680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Enhance Data Collection Process of a UAV-aided Low Power IoT Wireless Sensor Network 增强无人机辅助低功耗物联网无线传感器网络的数据采集过程

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9419977

Pasan Samarakkody, Sachith Guruge, Dulaj Samaradeera, E. Jayatunga, P. Porambage

{"title":"Enhance Data Collection Process of a UAV-aided Low Power IoT Wireless Sensor Network","authors":"Pasan Samarakkody, Sachith Guruge, Dulaj Samaradeera, E. Jayatunga, P. Porambage","doi":"10.1109/WCNCW49093.2021.9419977","DOIUrl":"https://doi.org/10.1109/WCNCW49093.2021.9419977","url":null,"abstract":"Amalgamation of low power IoT devices in Wireless Sensor Networks (WSNs) has enhanced the usage of WSNs as it lessens the requirements of total power consumption. Most such IoT devices comparatively employ short-range radio access technologies such as Bluetooth Low Energy (BLE) to transfer sensor data. When a WSN is situated in a remote region such that neither regular human monitoring is plausible nor Internet coverage is readily available, it requires an alternative method to gather data from sensor nodes. Hence, in this research, an attempt was made to improve the data collection process and monitor the parametric performance of a low power IoT WSN aided by an Unmanned Aerial Vehicle (UAV). The impact of physical parameters related to different sensor node arrangements was investigated to effectively utilize the total flying time of the drone. Subsequently, adjustments were proposed for improvements by referring to previous literature. The Hamiltonian path defined in Graph Theory was applied to reduce the traverse distance of the drone further by tracing the sensor nodes within the grid area systematically. A prototype was implemented using commercially available devices to demonstrate the feasibility and the functionality of the proposed solution. Our results show that the proposed system increases the data collection performance by 23% compared to referenced architecture.","PeriodicalId":262379,"journal":{"name":"2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126482189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Blockchain enabled UE-assisted multi-connectivity scheme 区块链支持ue辅助的多连接方案

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) Pub Date : 2021-03-29 DOI: 10.1109/WCNCW49093.2021.9419996

Junshuai Sun, N. Li, Huimin Zhang

引用次数: 1