2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)最新文献_第4页

Resource Allocation Strategies for Real-Time Applications in Wi-Fi 7 Wi-Fi 7实时应用的资源分配策略

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9234994

E. Avdotin, D. Bankov, E. Khorov, A. Lyakhov

引用次数: 7

Doppler Spread Impact Minimization via Terminal Sensors Usage 利用终端传感器最小化多普勒传播影响

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9234964

A. Yudnikov, D. Zabirov, V. Lyashev, Mikhail Kirichenko

引用次数: 1

Energy Efficient Workload Processing Technology for Distributed Computing Environment 分布式计算环境下的高效工作负载处理技术

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9235001

L. Globa, Nataliia Gvozdetska

引用次数: 0

An Intelligent Traffic Classification in SDN-IoT: A Machine Learning Approach SDN-IoT中的智能流量分类:一种机器学习方法

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9235019

Ampratwum Isaac Owusu, A. Nayak

{"title":"An Intelligent Traffic Classification in SDN-IoT: A Machine Learning Approach","authors":"Ampratwum Isaac Owusu, A. Nayak","doi":"10.1109/BlackSeaCom48709.2020.9235019","DOIUrl":"https://doi.org/10.1109/BlackSeaCom48709.2020.9235019","url":null,"abstract":"In recent years, there has been a sharp increase in IoT devices. Majority of these IoT devices have strict QoS requirements. This has made it very difficult for network providers to provide good network solutions whiles keeping cost in check. To meet the QoS demands in IoT networks, a new paradigm, SDN-IoT, leveraging the advantages of SDN architecture on IoT networks have been proposed to improve network quality. The programmability of the SDN controller allows the application of Machine learning in networks. This paper proposes a Machine learning model that classifies traffic in SDN-IoT networks for traffic engineering. The classification process compares the random forest algorithm, decision tree algorithm, and the K-nearest neighbors’ algorithm. The paper also compares the impact of two feature selection methods, Sequential Feature Selection (SFS) and Shapley additive explanations (SHAP) on the accuracies of the classifiers to reduce the number of features needed for classification. The algorithms are accessed based on their accuracy and F1 score. The best performing algorithm is random forest classifier with SFS which achieves accuracy of 0.833 with six features.","PeriodicalId":186939,"journal":{"name":"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126341450","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: 11

Spectrum Sensing Algorithm Based on Real-time Likelihood Ratio in Cognitive Networks 认知网络中基于实时似然比的频谱感知算法

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9235013

Yanyan Ge, Jiajun Chen, Dongmei Li, Shibing Zhang, Lili Guo, Yonghong Chen

引用次数: 0

Mathematical Technique for Photonic Crystal Fibers Automated Positioning Module 光子晶体光纤自动定位模块的数学技术

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9234991

I. Nevliudov, O. Filipenko, O. Sychova

引用次数: 0

Search-Free Precoder Selection for 5G New Radio using Neural Networks 基于神经网络的5G新无线电免搜索预编码器选择

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9234966

Talha Akyıldız, T. Duman

{"title":"Search-Free Precoder Selection for 5G New Radio using Neural Networks","authors":"Talha Akyıldız, T. Duman","doi":"10.1109/BlackSeaCom48709.2020.9234966","DOIUrl":"https://doi.org/10.1109/BlackSeaCom48709.2020.9234966","url":null,"abstract":"We propose a search-free precoder selection method with neural networks motivated by the fact that large codebook sizes are adopted in 5G New Radio (5G-NR). The proposed method does not require an explicit codebook search unlike the traditional selection algorithms. Instead, it aims at finding the precoder matrix index that maximizes the corresponding channel capacity using a neural network directly. The network is trained off-line using extensive simulated data with the underlying channel statistics; however, the actual selection algorithm is based on simple calculations with the neural network, hence it is feasible for real time implementation. We demonstrate that the proposed search-free selection algorithm is highly efficient, i.e., it results in a performance very close to optimal precoder in the codebook while its complexity is significantly lower. Simulations with realistic channel models of 5G-NR corroborate these observations as well. We also show that pruning of the trained neural network gives a way to achieve further complexity reduction with a very small reduction in the system performance.","PeriodicalId":186939,"journal":{"name":"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220509","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

Anomaly Detection on Broadband Network Gateway 宽带网络网关的异常检测

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9234957

Halil Ertan, Selver Ezgi Küçükbay, Amir Yavariabdi, Nuri Kangöz, Ali Emre Tiryaki, Iren Berk Özalp

引用次数: 1

Architectural and Financial Considerations for Deploying 5G Based Fixed Wireless Access 部署基于5G的固定无线接入的架构和财务考虑

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9235003

K. Topyan, M. Ulema

引用次数: 4

Performance of a Security Control Scheme for a Health Data Exchange System 健康数据交换系统安全控制方案的性能

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) Pub Date : 2020-05-26 DOI: 10.1109/BlackSeaCom48709.2020.9235005

E. Gelenbe, Mihajlo Pavloski

引用次数: 3