GLOBECOM 2022 - 2022 IEEE Global Communications Conference最新文献_第6页

Tri-AoA: Robust AoA Estimation of Mobile RFID Tags With COTS Devices 带COTS设备的移动RFID标签的鲁棒AoA估计

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001628

Zihao Wang, Runhao Li, Rongzihan Song, Benaya Christo, Lei Sun, Zhiping Lin

{"title":"Tri-AoA: Robust AoA Estimation of Mobile RFID Tags With COTS Devices","authors":"Zihao Wang, Runhao Li, Rongzihan Song, Benaya Christo, Lei Sun, Zhiping Lin","doi":"10.1109/GLOBECOM48099.2022.10001628","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001628","url":null,"abstract":"Radio frequency identification (RFID) is a form of wireless communication that has received much attention in recent years due to low costs of passive RFID tags and availability of commercial-off-the-shelf (COTS) RFID devices. Existing indoor localization and tracking methods based on RFID do not perform well in dynamic environments with severe multi-path interference. In this paper, we propose a robust Angle of Arrival (AoA) estimation method for mobile RFID tags in a rich multi-path environment with a large feasible area. The proposed method Tri-AoA consists of three essential modules, phase likelihood estimation, Received Signal Strength Indicator (RSSI) likelihood estimation and a deep learning algorithm. The phase likelihood estimation module exploits the concept of an antenna array to provide a basic estimation of an AoA, but with an ambiguity. The RSSI likelihood estimation module helps alleviate the ambiguity. To achieve a more robust estimation of AoA for mobile RFID tags, we construct a 2-dimensional feature image that contains AoA estimation from the phase and RSSI modules. We then develop a deep learning algorithm to analyze this image to improve the AoA tracking accuracy as well as the robustness by suppressing the multi-path interference. The experimental results show that our system outperforms existing approaches by achieving a median error of $2.36^{mathrm{o}}$ in a $3mtimes 4m$ area using four COTS RFID antennas. We also show that our system can realize real-time performance on a personal computer.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121501703","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

LISP-LEO: Location/Identity Separation-based Mobility Management for LEO Satellite Networks LISP-LEO:基于位置/身份分离的LEO卫星网络移动管理

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001352

Jun Hu, Tian Pan, Yujie Chen, Xuebei Zhang, Tao Huang, Yun-jie Liu

{"title":"LISP-LEO: Location/Identity Separation-based Mobility Management for LEO Satellite Networks","authors":"Jun Hu, Tian Pan, Yujie Chen, Xuebei Zhang, Tao Huang, Yun-jie Liu","doi":"10.1109/GLOBECOM48099.2022.10001352","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001352","url":null,"abstract":"In space-terrestrial integrated networks, the relative motion between LEO satellites and ground terminals is inevitable, which will trigger the reassignment of the terminal IP addresses and disrupt the ongoing TCP connections. Traditional Mobile IP protocol can solve the problem by using the home agent and the tunneling mechanism. However, for space-terrestrial integrated networks, Mobile IP is inefficient as it introduces (1) increased latency when registering with the remote home agent, (2) high packet loss due to large registration latency, (3) triangular routing to the remote home agent. To address the above issues, we propose LISP-LEO, a location/identity separation-based mobility management protocol for LEO satellite networks. Specifically, (1) we divide the Earth's surface into partitions and maintain a partition-satellite mapping table in real-time according to the regularity of satellite motion, (2) we always route traffic to the satellite above the destined terminal by querying the partition-satellite mapping table, which eliminates triangular routing and the related performance overheads, (3) we handle the corner case that multiple satellites occur above the destined terminal by proposing last-hop relay. The evaluation convinces that, for the LEO-48 constellation, LISP-LEO produces a 55.0% reduction in the RTT and a 45.8% reduction in the number of forwarding hops in the worst routing case compared with Mobile IP.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114702640","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

A Practical way to Handle Service Migration of ML-based Applications in Industrial Analytics 工业分析中处理基于机器学习的应用程序服务迁移的实用方法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001449

Domenico Scotece, Claudio Fiandrino, L. Foschini

{"title":"A Practical way to Handle Service Migration of ML-based Applications in Industrial Analytics","authors":"Domenico Scotece, Claudio Fiandrino, L. Foschini","doi":"10.1109/GLOBECOM48099.2022.10001449","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001449","url":null,"abstract":"Nowadays, Machine learning (ML) plays a significant role in Industrial Analytics. It enables predictive analytics, and helps uncovering essential insights to transform industries. As a result, real-time data analytics has become an essential requirement for industrial engineering jobs. Edge computing enables local intelligence and real-time analytics that are key for industry processes to take autonomous decisions locally at the edge of the network. However, outages in edge datacenters can jeopardize the whole plant security. In this paper, we proposed a practical approach to effectively handling service and data migration of ML-based applications in Industrial Analytics scenarios in the presence of a lack of computing resources at the edge. We argue that in this context the value of data is inversely proportional to their age and is very important to work with fresher data. In this paper, we describe our architectural approach for service and data handoff and show a predictive diagnostics case study deployed in an edge-enabled IIoT infrastructure. We evaluate our proposed approach in terms of drop of accuracy in a well-known edge computing emulator, i.e., openLEON. The experimental results show the benefit of our solution with respect to standard techniques.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114737981","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

Signal Classification with Linear Phase Modulation for RIS-Assisted Near-Field Localization 基于线性相位调制的近场定位信号分类

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000864

Jeongwan Kang, Seung-Woo Ko, Sunwoo Kim

{"title":"Signal Classification with Linear Phase Modulation for RIS-Assisted Near-Field Localization","authors":"Jeongwan Kang, Seung-Woo Ko, Sunwoo Kim","doi":"10.1109/GLOBECOM48099.2022.10000864","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000864","url":null,"abstract":"Reconfigurable intelligent surface (RIS), one core element in 6G, opens a new opportunity to design near-field (NF) localization since a signal's propagation distance can be different depending on the reflected points on large RIS. For the design of NF localization to be effective, signals reflected on distinct RIS points should be profiled without interfering with the others, called signal classification (SC). In this paper, we propose a simple yet novel SC technique, called linear phase modulation (LPM), where sequences of distant RIS elements' phases are linearly modulated with different rates. Along with the conventional or-thogonal frequency division multiplexing waveform, LPM makes it possible to classify the reflected signals by distant RIS elements as well as estimate their propagation distances using a two-dimensional Fourier transform (2D-FT) technique. It exploits one more signal dimension for performance improvement than conventional one-dimensional FT (1D-FT) based SC. Through analytic and numerical studies, we verify the effectiveness of the proposed SC using LPM by comparing its localization accuracy with several benchmarks designed based on 1D-FT.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127736332","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

Data-aware Hierarchical Federated Learning via Task Offloading 基于任务卸载的数据感知分层联邦学习

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000924

Mulei Ma, Liantao Wu, Wenxiang Liu, Nanxi Chen, Ziyu Shao, Yang Yang

{"title":"Data-aware Hierarchical Federated Learning via Task Offloading","authors":"Mulei Ma, Liantao Wu, Wenxiang Liu, Nanxi Chen, Ziyu Shao, Yang Yang","doi":"10.1109/GLOBECOM48099.2022.10000924","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000924","url":null,"abstract":"To cope with the high communication overhead caused by frequent aggregation of Federated Learning (FL) in Multi-access Edge Computing (MEC) scenarios, Hierarchical Federated Edge Learning (HFEL) is proposed as an evolving framework. HFEL offloads tasks to edge servers for partial model aggregation to reduce network traffic. However, most of the existing research focuses on resource optimization for HFEL without considering the impact of data characteristics and cannot guarantee the quality of FL training. To this end, we propose a task offloading approach based on data and resource heterogeneity under HFEL to improve training performance and reduce system cost. Specifically, we leverage information entropy to incorporate data statistical features into the cost function to reshape edge datasets. In addition, we applied Multi-Agent Deep Deterministic Policy Gradient (MADDPG) with a resource allocation module to generate distributed offloading policy more efficiently. Our algorithm not only adopts local observations to obtain the optimal action but also takes into account device heterogeneity, which can adapt to the unstable edge environment. Extensive experiments under multiple datasets and baselines are carried out, which demonstrate that our algorithm can effectively improve the accuracy of aggregated models while reducing system cost.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126305613","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

Collusion-resistant PUF-based Distributed Device Authentication Protocol for Internet of Things 基于puf的物联网防合谋分布式设备认证协议

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001256

Wassila Lalouani, Mohamed F. Younis, Mohammad Ebrahimabadi, Naghmeh Karimi

{"title":"Collusion-resistant PUF-based Distributed Device Authentication Protocol for Internet of Things","authors":"Wassila Lalouani, Mohamed F. Younis, Mohammad Ebrahimabadi, Naghmeh Karimi","doi":"10.1109/GLOBECOM48099.2022.10001256","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001256","url":null,"abstract":"The scale, unattended-operation and ad-hoc nature of an Internet-of-Things (IoT) make the network vulnerable to device impersonation, message replay, and Sybil attacks by either external actors or compromised nodes. This paper opts to tackle such vulnerability and presents a novel and effective solution for mutual authentication of IoT nodes. The proposed solution calls for embedding a Physically Unclonable Function (PUF) on each device, and employs a lightweight protocol for validating the identity of the individual devices based on querying the PUF. To authenticate a “prover” node, a verifier node will send a challenge bit-stream to the prover, where the latter provides the response of its PUF to such a challenge to be matched by what the verifier expects. To prevent the PUF of a prover from being modeled by an eavesdropper or a collusive set of compromised verifiers, the proposed protocol makes the response to a challenge dependent on the verifier. In addition, our protocol combines such an identity-based response generation with a simple Elliptic curve to thwart any attempts by a compromised verifier to reverse engineer the response generation process. The robustness of our PUF-based IoT Device Authentication (PIDA) protocol, is validated using data collected from an FPGA-based implementation.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126540480","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

Impact of UAV 3D Wobbles on the Non-Stationary Air-to-Ground Channels at Sub-6 GHz Bands 无人机三维摆动对低于6ghz频段非静止空对地信道的影响

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000615

Xiaobo Yang, D. Zhai, Ruonan Zhang, Haotong Cao, S. Garg, Georges Kaddoum

{"title":"Impact of UAV 3D Wobbles on the Non-Stationary Air-to-Ground Channels at Sub-6 GHz Bands","authors":"Xiaobo Yang, D. Zhai, Ruonan Zhang, Haotong Cao, S. Garg, Georges Kaddoum","doi":"10.1109/GLOBECOM48099.2022.10000615","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000615","url":null,"abstract":"Wireless communication based on Unmanned aerial vehicle (UAV) is one of the important technologies in the future communication system. It is necessary to establish an accurate air-to-ground (A2G) wireless channel model. In this paper, a A2G channel model with UAV three-dimensional (3D) wobbles (pitch, roll, and yaw) is proposed. The internal vibration of the UAV is modeled as a sinusoidal random process, and the UAV wobble caused by the random air fluctuations is modeled as the uniform distribution random process. We derive the A2G channel temporal auto-correlation function (ACF) with UAV 3D wobbles, analyze the variation of the temporal ACF with different time instants, carrier frequencies, and amplitudes of the wobble angles. It is found that, even if the UAV wobbles slightly, the channel temporal correlation will be significantly affected. Numerical results show that the channel ACF will decrease rapidly with the increase of the amplitudes of the wobble angles and the carrier frequency. This work contributes to the establishment of the next generation wireless channel model and the design of communication system.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125456805","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

Optimizing Synchronization Times for Position Tracking of a Mobile Asset in GPS-denied Environments 优化gps拒绝环境下移动资产位置跟踪的同步时间

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001565

C. M. Bowyer, J. Shea, T. Wong, W. Dixon

{"title":"Optimizing Synchronization Times for Position Tracking of a Mobile Asset in GPS-denied Environments","authors":"C. M. Bowyer, J. Shea, T. Wong, W. Dixon","doi":"10.1109/GLOBECOM48099.2022.10001565","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001565","url":null,"abstract":"A network of distributed agents operating in a GPS-denied environment is tasked with tracking the position of a mobile asset. The agents use time-of-flight (ToF) measurements obtained from transmissions of a beacon signal by the asset to estimate the asset's position, but the estimates are noisy due to clock drift at the agents' local clocks. The clock drift can be reduced by having the asset and network of agents perform a distributed synchronization process; however, synchronization and localization cannot be performed simultaneously because the clock states are not well defined during synchronization and due to constraints on the radios' communication resources. The problem of optimizing when the agents should perform sensing or synchronization is formulated as a partially observed Markov decision process (POMDP) with continuous observations. Table-based Q-learning is used to search for an optimal policy on the belief space of the POMDP, but some form of approximation must be used because the belief space is a high -dimensional continuous space. We compare the performance of two approaches: 1) in replicated Q-learning, we learn a $Q$ function that is a linear function of the continuous beliefs; 2) in triple-Q learning, the beliefs are replaced by a model with fewer parameters, and quantization is used on a continuous parameter. Simulations are used to compare the performance of these methods with the approach that is most commonly used, which is using periodic synchronization at an optimized, fixed rate.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654056","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

Adaptive and Cooperative Resource Scheduling for Satellite-Terrestrial Networks 星地网络自适应协同资源调度

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000848

Yixin Wang, Di Zhou, Min Sheng, Jiandong Li

{"title":"Adaptive and Cooperative Resource Scheduling for Satellite-Terrestrial Networks","authors":"Yixin Wang, Di Zhou, Min Sheng, Jiandong Li","doi":"10.1109/GLOBECOM48099.2022.10000848","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000848","url":null,"abstract":"Satellite-terrestrial networks (STNs) consisting of satellite segment and ground segment have been regarded as a desirable solution for 6G. Efficient cooperative resource scheduling strategies, which cover the cooperation in satellite segment for data relay and the cooperation between satellite segment and ground segment for data downloading, play a pivotal role in enhancing the system performance in STNs. Since the dynamic channel condition and energy feeding greatly influence the network status, cooperative resource scheduling should be adaptive to the future environmental fluctuation. In this paper, we model the cooperative resource scheduling problem in STNs as a resource limited Markov Decision Process (MDP). Considering the fact that satellites are unaware of future environmental status, the traditional static optimization solution is infeasible. Therefore, we propose a Deep Reinforcement Learning (DRL) based Cooperative Store-and-Relay Resource Scheduling Algorithm (CSR-RSA), where inter-satellite links are utilized to coordinate with intermittent satellite-ground links for improving the transmission performance of the network. By exploiting the proposed CSR-RSA, the well-trained neural networks can be obtained to generate the adaptive and cooperative resource scheduling strategy without the knowledge of future environmental status. Simulation results verify the effectiveness of the proposed algorithm compared with traditional algorithms.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127909080","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 Miniaturized 8x8 Dual-layer EBG Slotted Circularly Polarized Patch Antenna Array for mMIMO 微型化8 × 8双层EBG开槽圆极化贴片天线阵列

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001232

Yuanzhe Gong, R. Morawski, H. Lee, T. Le-Ngoc

引用次数: 1