2023 International Balkan Conference on Communications and Networking (BalkanCom)最新文献_第5页

A Framework for Physical Layer Network Coding with Multiple Antennas for BPSK BPSK多天线物理层网络编码框架

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167911

Mert Ilgüy, Berna Özbek

引用次数: 0

Load Balancing of Virtual Network Functions through Packet Delegation 通过报文委派实现虚拟网络功能的负载分担

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167963

A. Zervopoulos, K. Oikonomou

{"title":"Load Balancing of Virtual Network Functions through Packet Delegation","authors":"A. Zervopoulos, K. Oikonomou","doi":"10.1109/BalkanCom58402.2023.10167963","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167963","url":null,"abstract":"Network Function Virtualization is a promising technology that can provide complex packet processing capabilities through Virtual Network Function (VNF) chains. Service Function Chaining aims to facilitate the management of these chains, typically through centralized management and orchestration, which perform inadequately when operating under heavy load, as they require the exchange of a significant amount of packets and they often optimize for network-wide metrics, potentially providing subpar performance to a few individuals. To address these shortcomings, a packet delegation mechanism is proposed in this paper, which can be integrated into the lifecycle managers of VNFs and serves as a load sharing mechanism redirecting traffic from VNFs under heavy load to other servers. Additionally, the prioritization of delegated packets is proposed to reduce the delay overhead that is introduced by the additional hops that delegated packets may need to traverse. The packet delegation mechanism is analytically studied under certain assumptions using queueing theory and its performance is evaluated through experimentation in a simulation setting. The acquired results validate the analysis, which indicates that packet delegation can effectively redirect traffic from overburdened VNFs and reduce end-to-end delay, while utilizing purely local information.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"24 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":"117192371","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

High-Speed, Real Time Sensor Data Acquisition and Transfer based on the Raspberry Pi Single Board Computer 基于树莓派单板计算机的高速实时传感器数据采集与传输

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167878

Georgios Kokkinis, Christoph Mayer, Arnold Horn, Alexander Teufel, Khaled Ibrahim, Rudolf Heer

{"title":"High-Speed, Real Time Sensor Data Acquisition and Transfer based on the Raspberry Pi Single Board Computer","authors":"Georgios Kokkinis, Christoph Mayer, Arnold Horn, Alexander Teufel, Khaled Ibrahim, Rudolf Heer","doi":"10.1109/BalkanCom58402.2023.10167878","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167878","url":null,"abstract":"The Raspberry Pi single board computer is widely used by researchers, hobbyists and professionals as a platform to develop data logging applications and sensor nodes. Nevertheless, there is a considerable lack of effort towards reliable high-speed, data logging implementations. One reason for this is the complexity and missing documentation when employing Direct Memory Access (DMA) channels for the data stream. DMA is necessary for eliminating the significant jitter to the data sampling timing, caused by higher priority task interrupts to the Central Processing Unit. In this paper, we present and validate a high-speed, real time sensor data acquisition and transfer system based on the Raspberry Pi. Data samples are generated by an analog-to-digital converter, which can be used to interface analog sensors. The samples are then stored in the memory with timestamps at sampling rates up to 50 kilo Samples Per Second. Finally, the generated data are transferred to a server using the User Datagram Protocol over Ethernet.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"82 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":"122600239","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

Performance Analysis and Enhancement through Cooperative NOMA in STAR-RIS-aided Systems star - ris辅助系统协同NOMA的性能分析与增强

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-05 DOI: 10.1109/BalkanCom58402.2023.10167959

Torebek Toregozhin, Mohd Hamza Naim Shaikh, G. Nauryzbayev

引用次数: 0

Training Terahertz Wireless Systems to Battle I/Q Imbalance 训练太赫兹无线系统对抗I/Q不平衡

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-06-02 DOI: 10.1109/BalkanCom58402.2023.10167934

Alexandros-Apostolos A. Boulogeorgos, A. Alexiou

{"title":"Training Terahertz Wireless Systems to Battle I/Q Imbalance","authors":"Alexandros-Apostolos A. Boulogeorgos, A. Alexiou","doi":"10.1109/BalkanCom58402.2023.10167934","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167934","url":null,"abstract":"Due to the non-ideality of analog components, transceivers experience high levels of hardware imperfections, like in-phase and quadrature imbalance (IQI), which manifests itself as the mismatches of amplitude and phase between the I and Q branches. Unless proper mitigated, IQI has an important and negative impact on the reliability and efficiency of high-frequency and high-data-rate systems, such as terahertz wireless networks. Recognizing this, the current paper presents an intelligent transmitter (TX) and an intelligent receiver (RX) architecture that by employing machine learning (ML) methodologies is capable to fully-mitigate the impact of IQI without performing IQI coefficients estimation. They key idea lies on co-training the TX mapper’s and RX demapper in order to respectively design a constellation and detection scheme that takes accounts for IQI. Two training approaches are implemented, namely: i) conventional that requires a considerable amount of data for training, and ii) a reinforcement learning based one, which demands a shorter dataset in comparison to the former. The feasibility and efficiency of the proposed architecture and training approaches are validated through respective Monte Carlo simulations.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"5 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134393161","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

XAI for Self-supervised Clustering of Wireless Spectrum Activity 无线频谱活动的自监督聚类

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-05-17 DOI: 10.1109/BalkanCom58402.2023.10167985

Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič, C. Fortuna, M. Mohorčič

{"title":"XAI for Self-supervised Clustering of Wireless Spectrum Activity","authors":"Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič, C. Fortuna, M. Mohorčič","doi":"10.1109/BalkanCom58402.2023.10167985","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167985","url":null,"abstract":"The so-called black-box deep learning (DL) models are increasingly used in classification tasks across many scientific disciplines, including wireless communications domain. In this trend, supervised DL models appear as most commonly proposed solutions to domain-related classification problems. Although they are proven to have unmatched performance, the necessity for large labeled training data and their intractable reasoning, as two major drawbacks, are constraining their usage. The self-supervised architectures emerged as a promising solution that reduces the size of the needed labeled data, but the explainability problem remains. In this paper, we propose a methodology for explaining deep clustering, self-supervised learning architectures comprised of a representation learning part based on a Convolutional Neural Network (CNN) and a clustering part. For the state of the art representation learning part, our methodology employs Guided Backpropagation to interpret the regions of interest of the input data. For the clustering part, the methodology relies on Shallow Trees to explain the clustering result using optimized depth decision tree. Finally, a data-specific visualizations part enables connection for each of the clusters to the input data trough the relevant features. We explain on a use case of wireless spectrum activity clustering how the CNN-based, deep clustering architecture reasons.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119465","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

Multi-State Inter-Satellite Channel Models 多状态卫星间信道模型

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-05-12 DOI: 10.1109/BalkanCom58402.2023.10167870

Eray Güven, Olfa Ben Yahia, Günes Karabulut-Kurt

引用次数: 2

D-Band RIS as a Reflect Array: Characterization and Hardware Impairments Study d波段RIS作为反射阵列:表征和硬件损伤研究

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-05-10 DOI: 10.1109/BalkanCom58402.2023.10167898

E. Tohidi, R. Stoecker, Julia-Marie Koeszegi, Sławomir Stańczak

{"title":"D-Band RIS as a Reflect Array: Characterization and Hardware Impairments Study","authors":"E. Tohidi, R. Stoecker, Julia-Marie Koeszegi, Sławomir Stańczak","doi":"10.1109/BalkanCom58402.2023.10167898","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167898","url":null,"abstract":"Reflecting intelligent surface (RIS) has emerged as a promising technology for enhancing wireless communication performance and enabling new applications in 6G networks with potentially low energy consumption and hardware complexity thanks to their passive nature. Despite the significant growth of the literature on RIS in recent years, covering various aspects of this technology, challenges and issues regarding the practical implementation of RIS have been less addressed. This issue is even more severe at D-band frequencies due to the inherent challenges. This paper aims to connect the requirements and aspirations from the link-level side to the actually achievable RIS hardware with the focus on the various models for RIS. In order to obtain a realistic hardware scenario while maintaining a manageable parameter set, a static reflect array with similar reflection behavior as the reconfigurable one is employed. The results of the study enable an improved RIS design process due to more realistic models. The special focus of this paper is on the hardware impairments, in particular, (i) the effect of specular reflection, and (ii) the beam squint effect.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123087733","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

Can graph neural network-based detection mitigate the impact of hardware imperfections? 基于图神经网络的检测能否减轻硬件缺陷的影响?

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-05-08 DOI: 10.1109/BalkanCom58402.2023.10167895

Lamprini Mitsiou, Stylianos E. Trevlakis, Argiris Tsiolas, D. J. Vergados, A. Michalas, Alexandros-Apostolos A. Boulogeorgos

{"title":"Can graph neural network-based detection mitigate the impact of hardware imperfections?","authors":"Lamprini Mitsiou, Stylianos E. Trevlakis, Argiris Tsiolas, D. J. Vergados, A. Michalas, Alexandros-Apostolos A. Boulogeorgos","doi":"10.1109/BalkanCom58402.2023.10167895","DOIUrl":"https://doi.org/10.1109/BalkanCom58402.2023.10167895","url":null,"abstract":"Until recently, researchers used machine learning methods to compensate for hardware imperfections at the symbol level, indicating that optimum radio-frequency transceiver performance is possible. Nevertheless, such approaches neglect the error correcting codes used in wireless networks, which inspires machine learning (ML)-approaches that learn and minimise hardware imperfections at the bit level. In the present work, we evaluate a graph neural network (GNN)-based intelligent detector’s in-phase and quadrature imbalance (IQI) mitigation capabilities. We focus on a high-frequency, high-directional wireless system where IQI affects both the transmitter (TX) and the receiver (RX). The TX uses a GNN-based decoder, whilst the RX uses a linear error correcting algorithm. The bit error rate (BER) is computed using appropriate Monte Carlo simulations to quantity performance. Finally, the outcomes are compared to both traditional systems using conventional detectors and wireless systems using belief propagation based detectors. Due to the utilization of graph neural networks, the proposed algorithm is highly scalable with few training parameters and is able to adapt to various code parameters.","PeriodicalId":363999,"journal":{"name":"2023 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115657316","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

Multivariate and Multi-step Traffic Prediction for NextG Networks with SLA Violation Constraints 基于SLA违规约束的NextG网络多步流量预测

2023 International Balkan Conference on Communications and Networking (BalkanCom) Pub Date : 2023-04-21 DOI: 10.1109/BalkanCom58402.2023.10167893

Evren Tuna, A. Soysal

引用次数: 2