2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)最新文献

Enhanced Precoder Designs for Spatial Modulation MIMO Systems with Single-Layer Beamforming 基于单层波束形成的空间调制MIMO系统的增强预编码器设计

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928602

Chiao-En Chen

引用次数: 0

Experimental Evaluation of Handover Strategies in 5G-MEC Scenario by using AdvantEDGE 基于AdvantEDGE的5G-MEC场景切换策略实验评估

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928618

R. Garroppo, Marco Volpi, G. Nencioni, Prachi Wadatkar

引用次数: 1

Mining News Data for Peripheral Culture Training in AGI 基于AGI的外围培养训练新闻数据挖掘

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928692

N. Dmytryk, Aris Leivadeas

引用次数: 0

On the Modelling and Analysis of Edge-Serverless Computing 边缘无服务器计算的建模与分析

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928755

Shuo Li, Ejder Bastug, M. D. Renzo

{"title":"On the Modelling and Analysis of Edge-Serverless Computing","authors":"Shuo Li, Ejder Bastug, M. D. Renzo","doi":"10.1109/MeditCom55741.2022.9928755","DOIUrl":"https://doi.org/10.1109/MeditCom55741.2022.9928755","url":null,"abstract":"The exponential increase in data generated by mobile devices and the rapid growth of cloud computing traffic are pushing services to the edge of the network. Serverless computing is an emerging cloud computing paradigm that provides stateless and event-driven services, called serverless services, independent of network infrastructure. Further improvements in quality of service (QoS) can be achieved by utilizing novel concepts like edge-serverless computing. Analyzing such systems as in existing works requires network-level simulations which could be costly and time-consuming, thus analytical models to obtain rapid insights are also needed. In this paper, we propose a stochastic geometry-based mathematical model in a tiered network, characterizing average end-to-end delay as performance measure, impacted by various crucial network parameters. The spatial distribution of server nodes, as well as computation requests are randomly and independently distributed according to homogeneous Poisson point processes (PPPs), allowing us to study the performance gains from multiple aspects. Two distinct network topologies are investigated numerically, namely communication and computation-oriented, validating the accuracy of our theoretical approximations.","PeriodicalId":206258,"journal":{"name":"2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","volume":"50 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116339649","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

Content-Aware Client Selection for Federated Learning in Wireless Networks 无线网络中联邦学习的内容感知客户端选择

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928665

Zhefeng Qiao, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, K. Letaief

{"title":"Content-Aware Client Selection for Federated Learning in Wireless Networks","authors":"Zhefeng Qiao, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, K. Letaief","doi":"10.1109/MeditCom55741.2022.9928665","DOIUrl":"https://doi.org/10.1109/MeditCom55741.2022.9928665","url":null,"abstract":"Federated learning (FL) is a framework to collaboratively train a deep learning model without sharing the raw data of distributed clients. Due to the limited communication resources in wireless networks, only a subset of clients are allowed to communicate their model updates with the central server in each communication round. Existing works selected the client based on the wireless channel states or the size of local dataset, while ignoring the local model status, i.e., the content of the local updates. In this paper, we first provide a comprehensive convergence analysis to investigate the impact of the client selection strategy for FL in wireless networks. Based on the theoretical analysis, we propose a novel client selection approach, referred to as the content-aware client selection (CACS). The proposed CACS strategy selects the client subset based on both the wireless channel states and the content of model updates from the clients. Empirical experiments shall verify the analysis and demonstrate that the CACS strategy outperforms the state-of-the-art methods in terms of both the convergence speed and learning performance of FL in wireless networks.","PeriodicalId":206258,"journal":{"name":"2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116236797","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

An Adaptive Framework for Attack Mitigation in SDN Environment SDN环境下的自适应攻击缓解框架

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928595

M. Isa, L. Mhamdi

引用次数: 1

Analytical Modeling of Multiple Access Interference in C-V2X Sidelink Communications C-V2X副链路通信中多址干扰的分析建模

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928677

Abdul Rehman, Piergiuseppe Di Marco, R. Valentini, F. Santucci

{"title":"Analytical Modeling of Multiple Access Interference in C-V2X Sidelink Communications","authors":"Abdul Rehman, Piergiuseppe Di Marco, R. Valentini, F. Santucci","doi":"10.1109/MeditCom55741.2022.9928677","DOIUrl":"https://doi.org/10.1109/MeditCom55741.2022.9928677","url":null,"abstract":"Cellular vehicle-to-everything (C-V2X) communications will play a pivotal role in the realization of connected and cooperative autonomous driving. Applications such as ve-hicle platooning benefit from sidelink communications to fulfill stringent latency requirements at the cost of uncertainty in the reliability due to the multiple access interference. In this paper, we propose an analytical framework to model the performance of C-V2X sidelink communications in a vehicle platooning scenario, depending on the available resources, the number of interfering vehicles and their relative positions. A Nakagami-Lognormal composite channel model is assumed, and the moment matching approximation (MMA) is used to approximate the statistics of the signal-to-interference-plus-noise ratio (SINR). Compared to existing simulation studies in the literature, the proposed model offers a compact, yet accurate, approximation of the achievable performance in terms of packet success rate, and allows for planning and adapting the configuration and parameters setup of the vehicle platoon.","PeriodicalId":206258,"journal":{"name":"2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125177507","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

Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution 振幅约束高斯窃听信道:最优输入分布的计算

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928682

L. Barletta, Alex Dytso

引用次数: 1

Traffic-Aware OTN-over-WDM Optimization in 5G Networks 5G网络中流量感知的ott -over- wdm优化

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928776

Abdallah Moubayed, A. Javadtalab, Mahdi Hemmati, Yuren You, A. Shami

{"title":"Traffic-Aware OTN-over-WDM Optimization in 5G Networks","authors":"Abdallah Moubayed, A. Javadtalab, Mahdi Hemmati, Yuren You, A. Shami","doi":"10.1109/MeditCom55741.2022.9928776","DOIUrl":"https://doi.org/10.1109/MeditCom55741.2022.9928776","url":null,"abstract":"5G networks are expected to support a diverse set of new applications/services in addition to existing applications/services from previous generations (2G/3G/4G). Optical Transport Networks (OTN) are being deployed as one attractive supporting technology for 5G networks at the transport level, particularly for next generation transport networks featuring large-granule broadband service transmissions. However, adopting and deploying OTNs in 5G networks comes with its own set of challenges. Thus, for carrier networks based on optical paths to become more scalable, dynamic, and manageable, there is a need to account for incoming traffic characteristics. To that end, this work formulates the problem of traffic-aware OTN-over-WDM optimization in the context of 5G. More specifically, it studies the impact of the different 5G traffic types and environments on the cost at both the OTN and WDM layers. Simulation results using different network topologies show the higher cost associated with more demanding traffic types and the variation in aggregate costs for different environments/scenarios. This includes a 2x increase in the aggregate network cost per layer and a 1.2x increase in average network cost per demand per layer and average network cost per demand per demand type between the different topologies. Additionally, results show that the optimization model outperforms a recent previous work by almost a factor of 2.","PeriodicalId":206258,"journal":{"name":"2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058557","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 Delay-Aware Approach for Distributed Embedding Towards Cross-Slice Communication 面向横片通信的分布式嵌入延迟感知方法

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) Pub Date : 2022-09-05 DOI: 10.1109/MeditCom55741.2022.9928746

Ioannis Dimolitsas, Dimitrios Spatharakis, Dimitrios Dechouniotis, S. Papavassiliou

{"title":"A Delay-Aware Approach for Distributed Embedding Towards Cross-Slice Communication","authors":"Ioannis Dimolitsas, Dimitrios Spatharakis, Dimitrios Dechouniotis, S. Papavassiliou","doi":"10.1109/MeditCom55741.2022.9928746","DOIUrl":"https://doi.org/10.1109/MeditCom55741.2022.9928746","url":null,"abstract":"The evolution of modern applications and the adoption of the 5G network slicing architecture require minimizing the communication delays. Virtual Network Functions (VNFs) offer low latency services to remote users. In the context of Edge Computing, these virtualized services are hosted in Edge Clouds, which, however, have limited resources. Embedding the Network Slice requests from users is a challenging problem, and demands distributed solutions in the presence of resource and delay constraints in the Edge Network. This paper introduces a distributed delay-aware service discovery mechanism, which performs cache-based forwarding, trying to efficiently discover VNFs in the Edge Clouds (ECs) and enable Cross-Slice Communication (CSC); that is the sharing of common VNFs between different Network Slices (NSes). Furthermore, the distributed NS embedding (NSE) problem is addressed by a modified k-Shortest Path (k-SP) approach to minimize the total round-trip network delay under the capacity constraints of the underlying infrastructures. The proposed method significantly decreases the execution time by 70% to provide the distributed NSE solution compared to the baseline k-SP algorithm.","PeriodicalId":206258,"journal":{"name":"2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114880804","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