2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)最新文献

Improving Uplink Transmissions for URLLC Communication in 5G NR 改进 5G NR 中 URLLC 通信的上行链路传输

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10426891

Sujeet Kumar, Veerendra Kumar Gautam, Sangeeta Sharma, Mukesh Giluka

{"title":"Improving Uplink Transmissions for URLLC Communication in 5G NR","authors":"Sujeet Kumar, Veerendra Kumar Gautam, Sangeeta Sharma, Mukesh Giluka","doi":"10.1109/COMSNETS59351.2024.10426891","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10426891","url":null,"abstract":"In the dynamic landscape of today's swiftly evolving industries, there exists a growing demand for cost-effective and time-efficient methodologies spanning diverse domains. This need is particularly pronounced when addressing the challenges of achieving low latency and ultra-reliable communication within the digital realm. The advancement of 5G and beyond networks is geared towards fulfilling these requirements. In the context of uplink transmissions, the implementation of dynamic scheduling introduces latency due to the associated signaling overhead between User Equipment (UE) and the Base Station (gNB). To counteract this challenge, 5G introduces the concept of Configured Grant (CG) for uplink transmissions. This entails pre-allocating radio resources to UEs, thereby obviating the necessity for resource requests for each individual transmission. However, the effective realization of CG hinges on the use of efficient scheduling algorithms. In this paper, we propose novel CG scheduling algorithms, namely Sorted-OFDMA and Best-MatchOFDMA, designed to enhance scheduling efficiency. Furthermore, we delve into an exploration of the impact that numerology and bandwidth exert on resource block allocation. This study also involves a comparative analysis of the performance exhibited by various scheduling algorithms.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"311 6","pages":"1160-1163"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532993","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

Free Space Quantum Key Distribution using the Differential Phase Shift Protocol in Urban Daylight 在城市日光下使用差分相移协议进行自由空间量子密钥分发

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427062

Deepika Aggarwal, Sruthi Chennuri, Rajesh K. Krishnan, Dilip Singh

引用次数: 0

Sensing Best-Connected Future Path for Mobile Telerobot: A Radio-Source Location Agnostic Approach 感知移动远程机器人的最佳连接未来路径：无线电源位置无关性方法

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10426841

Madhurima Ganguly, Suraj Kumar Mahato, A. Sau, Abhijan Bhattacharyya

{"title":"Sensing Best-Connected Future Path for Mobile Telerobot: A Radio-Source Location Agnostic Approach","authors":"Madhurima Ganguly, Suraj Kumar Mahato, A. Sau, Abhijan Bhattacharyya","doi":"10.1109/COMSNETS59351.2024.10426841","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10426841","url":null,"abstract":"Maintaining good last-mile connectivity across the trajectory of a mobile telerobot is critical for ensuring quality of service for multimedia, as well as kinematic commands and sensory feedbacks exchanged between the robot and the remote operator. Hence, the remote operator needs to know the possible radio coverage quality in different future directions. Existing systems claim to achieve this by trying to predict the channel model. The proposed methods require rigorous learning phases and either require prior knowledge of the radio-source location or need to start from the vicinity of the radio-source or need additional sensors in the environment for localization. Given the time-varying nature of the radio-environment and the typical set up in an enterprise, the existing solutions are practically infeasible for live deployment. We propose an in-situ radio-sensing based practically deployable solution with zero-knowledge prediction of the radio-source location and unsupervised prediction of the future connectivity across the periphery of the field of view which does not require any training phase. Deviating from the conventional channel modelling approach, we introduce a novel concept of ‘virtual source’ based prediction error minimization. It is deployed on Double robot in a typical enterprise. The efficacy is proven through objective measures on available data sets and on real enterprise floor and, also, through subjective measures in a typical operational scenario.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"192 1-2","pages":"524-532"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532589","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

Survivable Payment Channel Networks 可存活的支付渠道网络

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10426906

Yekaterina Podiatchev, Ariel Orda, Ori Rottenstreich

{"title":"Survivable Payment Channel Networks","authors":"Yekaterina Podiatchev, Ariel Orda, Ori Rottenstreich","doi":"10.1109/COMSNETS59351.2024.10426906","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10426906","url":null,"abstract":"Payment channel networks (PCNs) are a leading method to scale the transaction throughput in cryptocurrencies. Two participants can use a bidirectional payment channel for making multiple mutual payments without committing them to the blockchain. Opening a payment channel is a slow operation that involves an on-chain transaction locking a certain amount of funds. These aspects limit the number of channels that can be opened or maintained. Users may route payments through a multi-hop path and thus avoid opening and maintaining a channel for each new destination. Unlike regular networks, in PCNs capacity depends on the usage patterns and, moreover, channels may become unidirectional. Since payments often fail due to channel depletion, a protection scheme to overcome failures is of interest. We define the stopping time of a payment channel as the time at which the channel becomes depleted. We analyze the mean stopping time of a channel as well as that of a network with a set of channels. We then propose a scheme for optimizing the capacity distribution among the channels in order to increase the minimal stopping time in the network. We conduct experiments and demonstrate the accuracy of our model and the efficiency of the proposed optimization scheme.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"62 3","pages":"479-487"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532595","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

Enhanced Supply Chain Management in Indian Agriculture Using SSI and Blockchain Leveraged by Digital Wallet 利用 SSI 和数字钱包区块链加强印度农业供应链管理

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427356

Ushasri Peddibhotla, Sobin Choodan Chandran, Prabhat Kumar, Randhir Kumar

{"title":"Enhanced Supply Chain Management in Indian Agriculture Using SSI and Blockchain Leveraged by Digital Wallet","authors":"Ushasri Peddibhotla, Sobin Choodan Chandran, Prabhat Kumar, Randhir Kumar","doi":"10.1109/COMSNETS59351.2024.10427356","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427356","url":null,"abstract":"The proliferation of agricultural supply chain encompasses participants such as farmers, intermediate silos, transformation plants, and clients. Managing this agro-supply chain involves various functions related to the flow of both materials and information. Before entering the market, crop protection products and inputs undergo rigorous testing and regulatory scrutiny. Despite these measures, counterfeit products reach end-users due to insufficient transparency and the sharing of outdated information among stakeholders. To address this issue, the paper suggests a three-tiered integrated solution: the Product layer, Blockchain layer, and SSI layer. This strategy involves attaching Near-Field Communication (NFC) tags to the packages at the product layer, with the blockchain monitoring each step of the supply chain. The NFC tags can be read to verify the authenticity and other details of the product. Certifications for products, inputs, and the identities of dealers and consumers are stored as self-sovereign IDs in digital wallets. The authenticity details of producers undergo auditing by the certification authority, which is then transferred to the verification authority. The Verifier confirms these details and generates a verifiable presentation received by the consumer, enabling them to make informed purchases. This approach eliminates product tampering and the involvement of unverified producers and dealers in the supply chain. The comprehensive explanation and investigation of proposed framework state adequate guidelines to make counterfeit resistance agricultural supply chain system.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"303 4","pages":"427-429"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532819","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 Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data 基于表格式数据成本效益主动学习的混合抽样方法

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427050

Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh

{"title":"A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data","authors":"Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh","doi":"10.1109/COMSNETS59351.2024.10427050","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427050","url":null,"abstract":"Active learning (AL) is an attractive paradigm of machine learning that could be very useful in real-world machine learning for domains with high labelling costs. The main objective of AL is to efficiently acquire data for annotation from a typically large pool of unlabeled data, thereby reducing human experts' labelling effort. This helps them focus on the most informative data points that would improve machine learning model performance for the task at hand. Thus, given an unlabeled dataset and a fixed labelling budget, AL aims to select a subset of examples to be labelled such that they can result in improved model performance. The central component in an active learning workflow is the sampling process in which the most valuable samples to be labelled are identified. The most common type of sampling strategy employed is uncertainty sampling. In this sampling, each AL training iteration takes those points that the model is most uncertain about. Another important sampling strategy is diversity sampling. This sampling strategy selects a collection of samples that can well represent the entire data distribution. In this paper, we propose a hybrid sampling based active learning for the classification tasks employing tabular data, wherein we jointly sample uncertain as well as diverse points at every AL iteration. This hybrid sampling is achieved by jointly training a classification model along with an outlier detection model. In addition, we propose an improved cost-effective active learning (CEAL) method in which we automatically select high confidence data points and assign pseudo-labels based on not only the model's confidence but also the outlier detection module.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"40 1","pages":"147-152"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532975","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

Twin Field QKD with 3-Pulse Differential Phase Encoding 采用 3 脉冲差分相位编码的双场 QKD

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427314

Nilesh Sharma, Valliamai Ramanathan, Prabha Mandayam, Anil Prabhakar

{"title":"Twin Field QKD with 3-Pulse Differential Phase Encoding","authors":"Nilesh Sharma, Valliamai Ramanathan, Prabha Mandayam, Anil Prabhakar","doi":"10.1109/COMSNETS59351.2024.10427314","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427314","url":null,"abstract":"Twin field quantum key distribution (TF-QKD) has attracted the attention of the research community thanks to its higher secure key rate which scales as square root of the channel transmittance. The twin field secure key rate thus crosses the repeaterless secure key rate distance bound, showing that the protocol can cater to large channel lengths. Here, we present a twin-field-like QKD protocol based on single photon interference of differential phase shift (DPS) encoded states and prove the security of the scheme. Our protocol builds upon an existing measurement device independent (MDI) QKD system that has a DPS encoding and modifies the sifting step to one based on single photon interference. We demonstrate security of our DPS-twin-field (DPS-TF) protocol against collective attacks and quantify the secure key rate. We find that with the current state-of-the-art technology, both TF-QKD and MDI-QKD protocols with the DPS encoding work almost identically in terms of the channel length, although the achievable secure key rate of the DPS-TF QKD is higher compared to MDI-QKD.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"33 1","pages":"1052-1057"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532976","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

Adaptive Energy Optimization for Edge-Enabled Autonomous Mobile Robots 边缘自主移动机器人的自适应能量优化

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427411

Vincent Mageshkumar, Amit Baxi, Venkat Natarajan, Girish S. Murthy

引用次数: 0

A System Dynamics Model for Forecasting the Digital Mobility Platform Businesses Growth 预测数字移动平台业务增长的系统动力学模型

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427256

C. R. Munigety

引用次数: 0

Resource Allocation in Reconfigurable Intelligent Surfaces with Imperfect Phase Compensation 具有不完善相位补偿功能的可重构智能表面中的资源分配

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427188

Swaraj Srivastava, Yoghitha Ramamoorthi, Abhinav Kumar, T. Murakami, Tomoki Ogawa, Yasushi Takatori

引用次数: 0