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2021 IEEE Global Communications Conference (GLOBECOM)最新文献

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A Multi-tiered Social IoT Architecture for Scalable and Trusted Service Provisioning 面向可扩展和可信服务供应的多层次社交物联网架构
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685084
Giancarlo Sciddurlo, Ingrid Huso, D. Striccoli, G. Piro, G. Boggia
{"title":"A Multi-tiered Social IoT Architecture for Scalable and Trusted Service Provisioning","authors":"Giancarlo Sciddurlo, Ingrid Huso, D. Striccoli, G. Piro, G. Boggia","doi":"10.1109/GLOBECOM46510.2021.9685084","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685084","url":null,"abstract":"In the Social Internet of Things paradigm, the Trust Management System computes trust values of involved social objects, identifies trusted relationships, and selects the most suitable object able to provide a target service. State-of-the-art mechanisms conceived to address these tasks generally avoid considering the actual availability of social objects and demand the implementation of complex algorithms to constrained nodes. This work presents a novel multi-tiered and fog-based Social Internet of Things architecture to solve these open issues, ensuring fast service provisioning, high scalability, fault tolerance, and security. On the one hand, the Trust Management System hosted at the first fog layer of the architecture jointly addresses the trustworthiness of service providers and monitors the re-source availability exposed by social objects, thus simplifying the forwarding of service requests to trusted and unloaded nodes. From another hand, to securely implement advanced services at a large scale, a second fog layer exploits a Blockchain-based storage for sharing services, relationships, and trust values across organizations and service domains. Computer simulations demonstrate the effectiveness of the proposed architecture in a realistic Social Internet of Things while showing the performance gain obtained against a baseline approach.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132161544","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: 3
Data-driven Network Orchestrator for 5G Satellite-Terrestrial Integrated Networks: The ANChOR Project 5G星地融合网络的数据驱动网络协调器:ANChOR项目
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685584
Fabio Patrone, G. Bacci, Antonio Galli, P. Giardina, G. Landi, M. Luglio, M. Marchese, M. Quadrini, C. Roseti, Giancarlo Sperlí, A. Vaccaro, F. Zampognaro
{"title":"Data-driven Network Orchestrator for 5G Satellite-Terrestrial Integrated Networks: The ANChOR Project","authors":"Fabio Patrone, G. Bacci, Antonio Galli, P. Giardina, G. Landi, M. Luglio, M. Marchese, M. Quadrini, C. Roseti, Giancarlo Sperlí, A. Vaccaro, F. Zampognaro","doi":"10.1109/GLOBECOM46510.2021.9685584","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685584","url":null,"abstract":"Satellite communications (SatCom) have a role of advanced service enablers in the new virtual networks, following 3GPP specifications. Specifically, the satellite peculiar characteristics are of paramount importance to dynamically activate capabilities, such as multicast and broadcast channels, sudden traffic offloading, capacity bonding, and cost-efficient coverage of uncovered areas. A key aspect to achieve a seamless and efficient integration between satellite and terrestrial infrastructures is to make satellite resource management dynamic and with a centralised control of a single orchestrator that has visibility of the end-to-end network. Considering the adoption of Software Defined Networking (SDN) and Network Function Virtualization (NFV) paradigms and the upcoming 5th generation of mobile communications (5G), this paper presents the ongoing work within the European Space Agency (ESA) ANChOR project, whose main output will be a data-driven Network Controller and Orchestrator for SatCom networks. This tool will be based on Artificial Intelligence (AI) / Machine Learning (ML)-based techniques to properly allocate resources exploiting some feedback knowledge of the network and it aims to support different services over 5G integrated satellite-terrestrial networks.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132571253","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: 5
Deep Recurrent Learning versus Q-Learning for Energy Management Systems in Next Generation Network 深度循环学习与q学习在下一代网络能源管理系统中的应用
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685620
Aicha Dridi, Chérifa Boucetta, Hassine Moungla, H. Afifi
{"title":"Deep Recurrent Learning versus Q-Learning for Energy Management Systems in Next Generation Network","authors":"Aicha Dridi, Chérifa Boucetta, Hassine Moungla, H. Afifi","doi":"10.1109/GLOBECOM46510.2021.9685620","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685620","url":null,"abstract":"An AI based energy management system (EMS) for microgrids is proposed. It is composed of three modules: a strategy based module, a deep learning (DL) and a reinforcement learning module (RL). This framework determines heuristically the optimal actions for the microgrid system under different time-dependent environmental conditions. In essence, a main innovation is applied to the EMS. Our deep learning algorithm uses recurrent neural networks (RNNs) instead of the habitual State Action Reward (SAR) approach (whether classical or deep). Learning is hence guided by successful actions rather than by blind exploration. A large improvement in learning rates is hence observed when compared to classical Q-learning on real datasets that present a large diversity in energy consumption profiles, acquired in French premises over a long period. It leads to question about the best appropriate reinforcement policies to adopt when solving large state environments.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133256533","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
Position Optimization and Resource Management for UAV-Assisted Wireless Sensor Networks 无人机辅助无线传感器网络的位置优化与资源管理
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685797
D. Zhai, Chen Wang, Huakui Sun, Haotong Cao, Feng Tian, Ruonan Zhang
{"title":"Position Optimization and Resource Management for UAV-Assisted Wireless Sensor Networks","authors":"D. Zhai, Chen Wang, Huakui Sun, Haotong Cao, Feng Tian, Ruonan Zhang","doi":"10.1109/GLOBECOM46510.2021.9685797","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685797","url":null,"abstract":"In this paper, we focus on the energy saving problem for the wireless sensor networks (WSNs). Specifically, we propose a UAV-assisted wireless network architecture, where the cell-edge sensor devices (SDs) can access the aerial access points (AAPs) instead of the terrestrial access point (TAP). Since the transmitter-to-receiver distance is shortened and the ground-to-air channel is usually line-of-sight, the SDs can use lower power to transmit data and thereby prolong their lifetime. To fully exploit the potential of the network architecture, we jointly optimize the AAPs' position, channel allocation, and power control to minimize the total transmission power of all SDs. In order to solve the complex joint optimization problem, we reformulate it as three tractable subproblems and use the methods in graph theory to design low-complex algorithms. Simulation results indicate that the proposed network architecture greatly outperforms the traditional WSNs, and the proposed algorithms can further reduce the total power consumption.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131678611","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 Multi-Agent Reinforcement Learning Approach for Blockchain-based Electricity Trading System 基于区块链的电力交易系统的多智能体强化学习方法
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685510
Yifan Cao, Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Haipeng Yao, F. Yu
{"title":"A Multi-Agent Reinforcement Learning Approach for Blockchain-based Electricity Trading System","authors":"Yifan Cao, Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Haipeng Yao, F. Yu","doi":"10.1109/GLOBECOM46510.2021.9685510","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685510","url":null,"abstract":"In microgrid, peer-to-peer (P2P) electricity trading has quickly ascended to the spotlight and gained enormous popularity. However, there are inevitable credit problems and system security problems. Besides, the current model in the electricity trading system cannot balance the utilities of multiple trading entities. In this paper, we propose a blockchain-based distributed P2P electricity trading system. We define elecoins as currency in circulation within our trading system. In order to jointly optimize the utilities of both parties in the elecoins trading, we formulate the elecoins purchasing problem as a hierarchical Stackelberg game. Then, we design a distributed multi-agent utility-balanced reinforcement learning (DMA-UBRL) algorithm to search the Nash equilibrium. Finally, we factually build a blockchain system with a blockchain explorer and deploy an electricity trading smart contract (ETSC) on Ethereum, with a website interface for operating. The numerical results and the implemented realistic system show the advantages of our work.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115365072","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
Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach 基于区块链的移动边缘计算系统分片:一种深度强化学习方法
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685883
Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu
{"title":"Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach","authors":"Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu","doi":"10.1109/GLOBECOM46510.2021.9685883","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685883","url":null,"abstract":"With the growth of data scale in the mobile edge computing (MEC) network, data security of the MEC network has become a burning concern. The application of blockchain technology in MEC enhances data security and privacy protection. However, throughput becomes the bottleneck of the blockchain-enabled MEC system. Hence, this paper proposes a novel hierarchical and partitioned blockchain framework to improve scalability while guaranteeing the security of partitions. Next, we model the joint optimization of throughput and security as a Markov decision process (MDP). After that, we adopt deep reinforcement learning (DRL) based algorithms to obtain the number of partitions, the size of micro blocks and the large block generation interval. Finally, we analyze the security and throughput performance of proposed schemes. Simulation results demonstrate that proposed schemes can improve throughput while ensuring the security of partitions.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115945693","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: 4
Deterministic Service Function Chaining over Beyond 5G Edge Fabric 超越5G边缘结构的确定性业务功能链
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685927
Hao Yu, T. Taleb, Jiawei Zhang
{"title":"Deterministic Service Function Chaining over Beyond 5G Edge Fabric","authors":"Hao Yu, T. Taleb, Jiawei Zhang","doi":"10.1109/GLOBECOM46510.2021.9685927","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685927","url":null,"abstract":"Along with the increasing demand for latency-sensitive services and applications, Deterministic Network (DetNet) concept has been recently proposed to investigate deterministic latency assurance for services featured with bounded latency requirements in 5G edge networks. The Network Function Virtualization (NFV) technology enables Internet Service Providers (ISPs) to flexibly place Virtual Network Functions (VNFs) achieving performance and cost benefits. Then, Service Function Chains (SFC) are formed by steering traffic through a series of VNF instances in a predefined order. Moreover, the required network resources and placement of VNF instances along SFC should be optimized to meet the deterministic latency requirements. Therefore, it is significant for ISPs to determine an optimal SFC deployment strategy to ensure network performance while improving the network revenue. In this paper, we jointly investigate the resource allocation and SFC placement in 5G edge networks for deterministic latency assurance. We formulate this problem as a mathematic programming model with the objective of maximizing the overall network profit for ISP. Furthermore, a novel Deterministic SFC deployment (Det-SFCD) algorithm is proposed to efficiently embed SFC requests with deterministic latency assurance. The performance evaluation results show that the proposed algorithm can provide better performance in terms of SFC request acceptance rate, network cost reduction, and network resource efficiency compared with benchmark strategy.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124339492","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: 4
A multidimensional colored packing approach for network slicing with dedicated protection 具有专用保护的网络切片多维彩色封装方法
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685460
Hicham Lesfari, F. Giroire, G. Lena, C. Lac
{"title":"A multidimensional colored packing approach for network slicing with dedicated protection","authors":"Hicham Lesfari, F. Giroire, G. Lena, C. Lac","doi":"10.1109/GLOBECOM46510.2021.9685460","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685460","url":null,"abstract":"Network Function Virtualization (NFV) enables the virtualization of core-business network functions on top of a NFV infrastructure. NFV has gained an increasing attention in the telecommunication field these last few years. Virtual network functions (VNFs) can be represented by a set of virtual network function components (VNFCs). These VNFCs are typically designed with a redundancy scheme and need to be deployed against failures of, e.g., compute servers. However, such deployment must respect a particular resiliency mechanism for protection purposes. Therefore, choosing an efficient mapping of VNFCs to the compute servers is a challenging problem in the optimization of the software-defined, virtualization-based next generation of networks. In this paper, we model the problem of reliable VNFCs placement under anti-affinity constraints using several optimization techniques. A novel approach based on an extension of bin packing is proposed. We perform a comprehensive evaluation in terms of performance under real-world ISP networks along with synthetic traces. We show that our methods can calculate rapidly efficient solutions for large instances.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124390796","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
Deep Joint Source-Channel Coding and Modulation for Underwater Acoustic Communication 水声通信的深度联合源信道编码与调制
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685931
Yoshiaki Inoue, D. Hisano, K. Maruta, Yuko Hara-Azumi, Yu Nakayama
{"title":"Deep Joint Source-Channel Coding and Modulation for Underwater Acoustic Communication","authors":"Yoshiaki Inoue, D. Hisano, K. Maruta, Yuko Hara-Azumi, Yu Nakayama","doi":"10.1109/GLOBECOM46510.2021.9685931","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685931","url":null,"abstract":"Underwater communication is a promising technology to provide ubiquitous network connectivity, where acoustic waves are used as the primary carrier for long-range communication. It has been a challenging research topic to efficiently transmit images with under-water acoustic communication (UAC), due to its inherently narrow bandwidth, strong signal attenuation, time-varying multipath propagation, and low propagation speed. In this paper, we present a new approach to addressing these limitations in UAC, namely the joint source-channel coding and modulation (JSCCM) based on a deep neural network (DNN). We develop a training method of DNN-based encoder and decoder, which directly encode/decode image-pixel values to modulated symbols, unlike conventional separation-based source and channel coding and modulation. Through numerical simulations, the deep JSCCM is confirmed to achieve significantly higher data-rate than conventional schemes.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469298","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: 5
Uninterrupted Connectivity Time in THz Systems Under User Micromobility and Blockage 用户微移动和阻塞下太赫兹系统的不间断连接时间
2021 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2021-12-01 DOI: 10.1109/GLOBECOM46510.2021.9685384
D. Moltchanov, Vitalii Beschastnyi, Darya Y. Ostrikova, Yulia Gaidamaka, Y. Koucheryavy
{"title":"Uninterrupted Connectivity Time in THz Systems Under User Micromobility and Blockage","authors":"D. Moltchanov, Vitalii Beschastnyi, Darya Y. Ostrikova, Yulia Gaidamaka, Y. Koucheryavy","doi":"10.1109/GLOBECOM46510.2021.9685384","DOIUrl":"https://doi.org/10.1109/GLOBECOM46510.2021.9685384","url":null,"abstract":"Terahertz (THz) band is considered as the main candidate for new radio access technology in sixth-generation (6G) cellular systems. However, the performance of these systems will be severely affected by not only blockage but user equipment (UE) micromobility in hands of a user. The negative effects of these phenomena can be alleviated by utilizing the multi-connectivity functionality that allows UE to maintain two or more links to nearby base stations (BS) and use them when the currently active link is lost. By accounting for THz specific propagation, antenna and beamsearching design, the density of THz BS deployment, and multi-connectivity operation, we investigate the successful session completion probability under both types of impairments. Our results indicate that the gains of multi-connectivity are observed up to 5 simultaneously supported links and heavily depend on the application outage tolerance time and is mostly affected by micromobility. To improve it, one needs to ensure that the application may tolerate outage caused by beamsearching time which is on the order of milliseconds.","PeriodicalId":200641,"journal":{"name":"2021 IEEE Global Communications Conference (GLOBECOM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114907574","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
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