GLOBECOM 2022 - 2022 IEEE Global Communications Conference最新文献_第2页

Near-optimal Cloud-Network Integrated Resource Allocation for Latency-Sensitive B5G 面向延迟敏感型B5G的近最优云-网络集成资源分配

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001109

Masoud Shokrnezhad, T. Taleb

{"title":"Near-optimal Cloud-Network Integrated Resource Allocation for Latency-Sensitive B5G","authors":"Masoud Shokrnezhad, T. Taleb","doi":"10.1109/GLOBECOM48099.2022.10001109","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001109","url":null,"abstract":"Nowadays, while the demand for capacity continues to expand, the blossoming of Internet of Everything is bringing in a paradigm shift to new perceptions of communication networks, ushering in a plethora of totally unique services. To provide these services, Virtual Network Functions (VNFs) must be established and reachable by end-users, which will generate and consume massive volumes of data that must be processed locally for service responsiveness and scalability. For this to be realized, a solid cloud-network Integrated infrastructure is a necessity, and since cloud and network domains would be diverse in terms of characteristics but limited in terms of capability, communication and computing resources should be jointly controlled to unleash its full potential. Although several innovative methods have been proposed to allocate the resources, most of them either ignored network resources or relaxed the network as a simple graph, which are not applicable to Beyond 5G because of its dynamism and stringent QoS requirements. This paper fills in the gap by studying the joint problem of communication and computing resource allocation, dubbed CCRA, including VNF placement and assignment, traffic prioritization, and path selection considering capacity constraints as well as link and queuing delays, with the goal of minimizing overall cost. We formulate the problem as a non-linear programming model, and propose two approaches, dubbed B&B-CCRA and WF-CCRA respectively, based on the Branch & Bound and Water-Filling algorithms. Numerical simulations show that B&B-CCRA can solve the problem optimally, whereas WF-CCRA can provide near-optimal solutions in significantly less time.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"30 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":"125862079","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: 6

UCL: Unit Competition of Layers for Streaming Tasks in Heterogeneous Networks 异构网络中流任务层的单元竞争

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000741

Jing Yu, Liantao Wu, Guoliang Gao, Chenyu Gong

{"title":"UCL: Unit Competition of Layers for Streaming Tasks in Heterogeneous Networks","authors":"Jing Yu, Liantao Wu, Guoliang Gao, Chenyu Gong","doi":"10.1109/GLOBECOM48099.2022.10000741","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10000741","url":null,"abstract":"Partitioning and offloading the deep neural network (DNN) model over multi-tier computing units have been recently proposed to shorten the inference time. However, the state-of-the-art cannot adapt to large-scale offloading problems for streaming tasks because of its exponential complexity. Besides, as an essential kind of DNNs, the offloading of grouped con-volutional neural networks (GCNNs) has not been explored yet. Motivated by the above facts, in this paper, we concentrate on the offloading of chained DNNs (CDNNs) and GCNNs for streaming tasks. Consider a typical heterogeneous network consisting of various computing units, the user equipment (UE) publishes computation-intensive and delay-sensitive streaming DNN tasks while computing units accomplish them collaboratively. To mini-mize the delay of processing the task stream, DNN layers should be offloaded to appropriate units, which is the streaming-task multi-unit (STMU) problem. To tackle this problem, we formulate a non-cooperative potential game called unit competition of layers (UCL). The theoretical analysis proves the existence of the Nash equilibrium (NE), and the corresponding algorithm with linear complexity is developed to achieve the NE. Finally, extensive experiments demonstrate that UCL outperforms the state-of-the-art significantly in large-scale scenarios while maintaining similar performance on small-scale tasks.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"16 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":"126118856","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

SDN traffic anomaly detection method based on convolutional autoencoder and federated learning 基于卷积自编码器和联邦学习的SDN流量异常检测方法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001438

Zixuan Wang, Pan Wang, Zhixin Sun

引用次数: 1

Can Commercial LED Bulbs Pose a Threat to PLC System Security? 商用LED灯泡会对PLC系统安全构成威胁吗?

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001100

Yara Yaacoub, F. Nouvel, S. Haese, J. Baudais

{"title":"Can Commercial LED Bulbs Pose a Threat to PLC System Security?","authors":"Yara Yaacoub, F. Nouvel, S. Haese, J. Baudais","doi":"10.1109/GLOBECOM48099.2022.10001100","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001100","url":null,"abstract":"Techniques that improve interfacing between power-line communication (PLC) systems and LED-based visible light communication (VLC) systems start to gain attention in recent years. Indeed, this hybrid system is able to provide simultaneously power, lighting, and data transmission. Contrariwise, if the integration between PLC and commercial LED bulbs is done unintentionally, the risks of PLC data leakage by commercial LED bulbs must be carefully analyzed. Thus, in this paper, the risks of eavesdropping on the PLC network via commercial LED bulbs are studied. The impact of the LED driver on PLC data leakage through LED bulbs is explained. The electrical-optical channel transfer function for different LED bulbs and the power spectral density of the signal received through the LED bulbs when two commercial powerline modems are plugged into the same power line are measured. Afterwards, pseudo random binary sequence signals are injected into the electrical-optical channel in order to assess quantitatively the possibility to extract information from the received signal. Finally, simple LED driver modifications that foster and increase the leakage are analyzed.","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":"123711807","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

Pilot-less Massive MIMO TDD System with Blind Channel Estimation using Non-coherent DMPSK 基于非相干DMPSK盲信道估计的无导频大规模MIMO TDD系统

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000841

M. J. L. Morales, Chen-Hu Kun, A. G. Armada

引用次数: 2

A Flexible Numerology Configuration for Efficient Resource Allocation in 3GPP V2X 5G New Radio 实现3GPP V2X 5G新无线电资源高效分配的灵活数字命理配置

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000737

ThanhTuan Nguyen, Sondes Kallel, N. Aitsaadi, C. Adjih, Ilhem Fajjari

引用次数: 3

Incentive Routing Design for Covert Communication in Multi-hop Decentralized Wireless Networks 多跳分散无线网络中隐蔽通信的激励路由设计

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001140

Meng Xie, Jia Liu, Hiroki Takakura, Yang Xu, Zhao Li, N. Shiratori

{"title":"Incentive Routing Design for Covert Communication in Multi-hop Decentralized Wireless Networks","authors":"Meng Xie, Jia Liu, Hiroki Takakura, Yang Xu, Zhao Li, N. Shiratori","doi":"10.1109/GLOBECOM48099.2022.10001140","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001140","url":null,"abstract":"In this paper, we focus on a multi-hop decentralized wireless network consisting of legitimate nodes, adversary wardens, and friendly but selfish jammers, and investigate the routing design for achieving covert communication. For a pair of source and destination nodes, we first provide theoretical analysis for a given route between them to reveal how the covertness performance is related to the jamming power of jammers in the network. Then, we design an incentive mechanism that stimulates selfish jammers to supply artificial jamming to protect communication covertness, by granting them rewards from the source. A two-stage Stackelberg game framework is developed to analyze the strategic interactions between the source and jammers, and so as to determine the optimal settings of rewards and jamming power. Based on these results, we formulate a shortest weighted path-finding problem to identify the optimal route for covert communication between the source and destination, which can be solved efficiently by employing Dijkstra's algorithm. Simulation results demonstrate the performance of the proposed incentive routing scheme.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"47 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":"125563332","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

Shapley Explainer - An Interpretation Method for GNNs Used in SDN Shapley解释器-用于SDN的gnn的解释方法

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10001460

Chuanhuang Li, Jiali Lou, Shiyuan Liu, Zebin Chen, Xiaoyong Yuan

{"title":"Shapley Explainer - An Interpretation Method for GNNs Used in SDN","authors":"Chuanhuang Li, Jiali Lou, Shiyuan Liu, Zebin Chen, Xiaoyong Yuan","doi":"10.1109/GLOBECOM48099.2022.10001460","DOIUrl":"https://doi.org/10.1109/GLOBECOM48099.2022.10001460","url":null,"abstract":"Graph neural networks (GNNs) have been widely applied in software-defined network (SDN) for better network modeling and performance prediction. However, the black-box characteristic of deep learning makes the GNNs hard to interpret, such interpretability issue hinders the wide use of GNNs. In this paper, we propose Shapley Explainer, that provides fair importance scores to the input nodes of a GNN within an appropriate computation cost, thereby providing a valid and reasonable interpretation of graph neural network on software defined network. The proposed method derives the importance ranking of topological nodes by combining shapley values with a soft discrete mask matrix. We apply Shapley Explainer to RouteNet model, a GNN model that provides intelligent predictions of SDN network performance metrics. The experimental results show that Shapley Explainer can provide effective interpretations for RouteNet. It also verifies that the RouteNet model can correctly learn the relationship between features, which can provide a better understanding of the prediction process of RouteNet, promoting the application of GNN-based SDN systems in engineering practice.","PeriodicalId":313199,"journal":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","volume":"221 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":"125568225","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

Joint Radio Resource Allocation and Control for Resource-Constrained Vehicle Platooning 资源受限车辆队列联合无线电资源分配与控制

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000903

Dayue Zhang, Nan Cheng, Ruijin Sun, Feng Lyu, Yilong Hui, Changle Li

引用次数: 0

A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction 蜂窝交通预测的多尺度集成学习模型

GLOBECOM 2022 - 2022 IEEE Global Communications Conference Pub Date : 2022-12-04 DOI: 10.1109/GLOBECOM48099.2022.10000836

Changzheng Gao, Tao Feng, Huandong Wang, Depeng Jin, Junlan Feng, Xing Wang, Lin Zhu, Chao Deng

引用次数: 0