2023 International Balkan Conference on Communications and Networking (BalkanCom)最新文献_第4页

Open-Source Network Slice Orchestration for B5G/6G: Assurance Use Case B5G/6G的开源网络切片编排:保证用例

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167991

Simona Marinova, A. Leon-Garcia

引用次数: 0

Grant Free NOMA with Deep Learning for Massive IoT Applications 为大规模物联网应用提供免费的NOMA深度学习

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167912

Abdullah Balcı, R. Sokullu

{"title":"Grant Free NOMA with Deep Learning for Massive IoT Applications","authors":"Abdullah Balcı, R. Sokullu","doi":"10.1109/BalkanCom58402.2023.10167912","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167912","url":null,"abstract":"Internet of Things (IoT) has become a very hot research topic in recent years because it aims to ensure one of the major goals of 5G and beyond– connecting any physical device without human interaction. This type of data has been defined as Machine-Type Communication (MTC). A major design issue is how to sustain the network performance when a very large number of devices access the network at the same time. To resolve this issue, many studies propose new spectrum efficient methods that aim to increase the throughput, energy efficiency and other network performance parameters. One of these solutions is NonOrthogonal Multiple Access (NOMA), an alternative to wellknown orthogonal multiple access schemes. Even though NOMA was initially suggested for coordinated networks, it may be a feasible solution for the Massive IoT networks without coordinated access. The next generation networks should decide in a smart way. 6G-IoT networks also should be more intelligent with self-coordination. In this study Deep-Q-Network (DQN) based NOMA is proposed for the uncoordinated uplink transmission in IoT networks. According to the results proposed method is outperform the NOMA scheme with random selection in terms of throughput and power consumption.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129938204","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

Feature Management for Machine Learning Operation Pipelines in AI Native Networks 人工智能原生网络中机器学习操作管道的特征管理

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167936

Gregor Cerar, Blaž Bertalanič, M. Mohorčič, M. Grobelnik, C. Fortuna

引用次数: 0

The Generalized Secretary Problem Algorithm for Secrecy-Achieving Relay Selection: A Good Complexity-Security Trade-off? 实现保密中继选择的广义秘书问题算法:复杂性与安全性的权衡?

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167965

Elmehdi Illi, M. Qaraqe, Faissal El Bouanani

引用次数: 0

User Pairing and Beamforming Design in mmWave CR-NOMA Networks 毫米波CR-NOMA网络中的用户配对和波束成形设计

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167915

Ömer Faruk Akyol, S. T. Basaran, Ibrahim Hökelek, Ali Gör¸In

{"title":"User Pairing and Beamforming Design in mmWave CR-NOMA Networks","authors":"Ömer Faruk Akyol, S. T. Basaran, Ibrahim Hökelek, Ali Gör¸In","doi":"10.1109/BalkanCom58402.2023.10167915","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167915","url":null,"abstract":"This paper presents the coexistence of two promising technologies for 5G and beyond mobile networks, namely Cognitive Radio-based Non-Orthogonal Multiple Access (CR-NOMA) and millimeter-wave (mmWave) wireless communication. The decoding performance of successive interference cancellation (SIC) significantly affects the coverage probability of the CR-NOMA network serving the primary and secondary users within a single frequency resource block. In this paper, we propose a user pairing algorithm to allocate primary and secondary users in an uplink mmWave CR-NOMA network, where the multi-antenna base station utilizes beamforming technology. The coverage probability is aimed to be maximized by selecting a secondary user in such a way that the Quality of service (QoS) requirements of both users are satisfied using the QoS-based SIC; otherwise, the channel state information-based SIC is utilized by selecting the secondary user with the best channel condition. We conduct Monte Carlo simulation experiments by varying the transmit power of the users, the number of antenna elements at the base station, and the number of secondary users in the network. The numerical results demonstrate that the proposed algorithm provides the optimum coverage probability with lower complexity, especially in higher signal-to-noise ratio regimes.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128149884","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

Reinforcement Learning for Simplified Training in Fingerprinting Radio Localization 基于强化学习的指纹无线电定位简化训练

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167948

Nicola Novello, A. Tonello

{"title":"Reinforcement Learning for Simplified Training in Fingerprinting Radio Localization","authors":"Nicola Novello, A. Tonello","doi":"10.1109/BalkanCom58402.2023.10167948","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167948","url":null,"abstract":"In this paper, we assess the problem of radio localization based on fingerprinting. Although fingerprinting can provide precise localization in complex propagation environments, its drawback is the complexity of building the fingerprinting map. This map associates each location inside an area to a vector of Received Signal Strength (RSS) observations. This paper aims to answer the question: can we reduce the number of measurements to build a fingerprinting map for radio localization? To answer this question, we propose a new method based on sampling the environment intelligently. The method combines Deep Learning (DL) and Deep Reinforcement Learning (DRL) techniques. Reinforcement learning allows us to find an optimal path to perform measurements in relevant areas under the constraint of a given route length the agent can walk. Training a neural network with the measured RSSs along that path provides high localization accuracy. Numerical results on a real data set show that the approach offers high localization accuracy despite lowering the distance covered to acquire data to train the neural network-based fingerprinting map.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"20 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955482","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

Two-Step Deep Reinforcement Q-Learning based Relay Selection in Cooperative WPCNs 基于两步深度强化q学习的协同wpcn中继选择

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167871

Gulnur Tolebi, T. Tsiftsis, G. Nauryzbayev

引用次数: 0

Accuracy and Coverage Analysis of IP Geolocation Databases IP地理位置数据库的精度和覆盖分析

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167899

A. Nur

引用次数: 0

QoE Estimation for the Wi-Fi Edge with Gradient Boosting-based Machine Learning 基于梯度增强机器学习的Wi-Fi边缘QoE估计

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167908

Berke Argın, Mehmet Ozgun Demir, Aysun Gurur Önalan, Elif Dilek Salik, Ece Gelal Soyak

{"title":"QoE Estimation for the Wi-Fi Edge with Gradient Boosting-based Machine Learning","authors":"Berke Argın, Mehmet Ozgun Demir, Aysun Gurur Önalan, Elif Dilek Salik, Ece Gelal Soyak","doi":"10.1109/BalkanCom58402.2023.10167908","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167908","url":null,"abstract":"An integral part of the Intent-Based Networking paradigm is estimating and improving the end-user quality of experience (QoE). Estimating user experience from the (wide-area) network data alone does not accurately represent the performance at customer premises since Wi-Fi at the edge also significantly affects the perceived QoE. We propose machine learning-based estimation of the end-users’ perceived QoE for web browsing and video streaming applications, based on Wi-Fi statistics. We implement support vector machine (SVM), decision tree (DT), multilayer perceptron (MLP), XGBoost, and CatBoost algorithms and compare their performance. To the best of our knowledge, our CatBoost-based model yields the highest accuracy to date, 0.92 R2, in estimating the QoE for web browsing based on Wi-Fi statistics. Our experiments also show that the XGBoost-based QoE estimator outperformed the neural network-based model in estimating the QoE for video streaming. Our work demonstrates that network operators can infer the user-perceived QoE in a Wi-Fi network through telemetry data obtained by passive measurements.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124228076","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

PIM Detection in Wireless Networks as an Anomaly Detection Problem 无线网络中PIM检测作为一个异常检测问题

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167980

Gokcan Cantali, Eren Deniz, Ozcan Ozay, Onur Yildirim, Gürkan Gür, F. Alagoz

{"title":"PIM Detection in Wireless Networks as an Anomaly Detection Problem","authors":"Gokcan Cantali, Eren Deniz, Ozcan Ozay, Onur Yildirim, Gürkan Gür, F. Alagoz","doi":"10.1109/BalkanCom58402.2023.10167980","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167980","url":null,"abstract":"As the number of base stations keeps increasing due to ever-growing wireless services and pervasive connectivity, the cost of operation for network service providers rises proportionally. In addition, with the evolution of wireless technology and development of next generation networks such as 5G and 6G, network operators are expected to encounter more complex challenges soon. One such network issue is the Passive Inter-modulation (PIM) problem that is observed in both 4G and 5G networks. Although there is a significant body of work regarding PIM detection and cancellation methods, majority of such studies depend on hardware solutions and manual investigation by network engineers, which is costly in terms of time and labor. In this paper, we propose a time-series based anomaly detection method, for identifying PIM problems in network sites. The proposed solution utilizes a set of Key Performance Indicator (KPI) data of base stations, obtained from network management systems for a significantly long time interval, and detects possible PIM problems in a site without the need for a human-in-the-loop. We measure the performance of our solution, with the guidance of experienced network engineers, on our collected dataset.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124869303","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