{"title":"Applied Federated Model Personalization in the Industrial Domain: A Comparative Study","authors":"Ilias Siniosoglou, Vasileios Argyriou, George Fragulis, Panagiotis Fouliras, Georgios Th. Papadopoulos, Anastasios Lytos, Panagiotis Sarigiannidis","doi":"10.1109/ojcoms.2024.3457803","DOIUrl":"https://doi.org/10.1109/ojcoms.2024.3457803","url":null,"abstract":"","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209500","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}
Pub Date : 2024-09-11DOI: 10.1109/ojcoms.2024.3458802
Federico Chiariotti, Beatriz Soret, Petar Popovski
{"title":"A Worst-Case Latency and Age Analysis of Coded Distributed Computing With Unreliable Workers and Periodic Tasks","authors":"Federico Chiariotti, Beatriz Soret, Petar Popovski","doi":"10.1109/ojcoms.2024.3458802","DOIUrl":"https://doi.org/10.1109/ojcoms.2024.3458802","url":null,"abstract":"","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209502","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}
Pub Date : 2024-09-10DOI: 10.1109/ojcoms.2024.3457507
Kengo Furuta, Takumi Takahashi, Hideki Ochiai
{"title":"Sparse Bayesian Learning Using Complex t-Prior for Beam-Domain Massive MIMO Channel Estimation","authors":"Kengo Furuta, Takumi Takahashi, Hideki Ochiai","doi":"10.1109/ojcoms.2024.3457507","DOIUrl":"https://doi.org/10.1109/ojcoms.2024.3457507","url":null,"abstract":"","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209503","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}
Pub Date : 2024-09-10DOI: 10.1109/ojcoms.2024.3457023
Zhiwei Wei, Jingxin Mao, Bing Li, Rongqing Zhang
{"title":"Privacy-Preserving Hierarchical Reinforcement Learning Framework for Task Offloading in Low-Altitude Vehicular Fog Computing","authors":"Zhiwei Wei, Jingxin Mao, Bing Li, Rongqing Zhang","doi":"10.1109/ojcoms.2024.3457023","DOIUrl":"https://doi.org/10.1109/ojcoms.2024.3457023","url":null,"abstract":"","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209504","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}
Pub Date : 2024-09-06DOI: 10.1109/OJCOMS.2024.3455769
Daniel Mawunyo Doe;Jing Li;Dusit Niyato;Yuqing Hu;Jun Li;Zhen Gao;Xiao-Ping Zhang;Zhu Han
In this paper, we address key challenges in Proof-of-Stake (PoS) blockchains, with a particular focus on Ethereum 2.0. We introduce an innovative mechanism that combines Tullock contests and signaling games to optimize weight assignments based on security deposits from heterogeneous nodes. While Tullock contests motivate participants to allocate resources for potential rewards, signaling games enable efficient information transfer, thereby enriching decision-making. This approach enhances network security, efficiency, and resilience by incentivizing resource investment and facilitating effective information exchange. Our framework significantly outperforms existing methods, achieving a 45.43% increase in blockchain utility and a 47.92% rise in node utility. Additionally, it yields marked improvements in user participation rates (26.89 − 32.21%) and service coverage (24 − 29.54%), and also proves to be resilient against attacks from selfish nodes.
{"title":"Harnessing Tullock Contests and Signaling Games: A Novel Weight Assignment Strategy for Ethereum 2.0","authors":"Daniel Mawunyo Doe;Jing Li;Dusit Niyato;Yuqing Hu;Jun Li;Zhen Gao;Xiao-Ping Zhang;Zhu Han","doi":"10.1109/OJCOMS.2024.3455769","DOIUrl":"10.1109/OJCOMS.2024.3455769","url":null,"abstract":"In this paper, we address key challenges in Proof-of-Stake (PoS) blockchains, with a particular focus on Ethereum 2.0. We introduce an innovative mechanism that combines Tullock contests and signaling games to optimize weight assignments based on security deposits from heterogeneous nodes. While Tullock contests motivate participants to allocate resources for potential rewards, signaling games enable efficient information transfer, thereby enriching decision-making. This approach enhances network security, efficiency, and resilience by incentivizing resource investment and facilitating effective information exchange. Our framework significantly outperforms existing methods, achieving a 45.43% increase in blockchain utility and a 47.92% rise in node utility. Additionally, it yields marked improvements in user participation rates (26.89 − 32.21%) and service coverage (24 − 29.54%), and also proves to be resilient against attacks from selfish nodes.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10668813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-06DOI: 10.1109/OJCOMS.2024.3455763
Mohit K. Sharma;Ibrahim Farhat;Chen-Feng Liu;Nassim Sehad;Wassim Hamidouche;Mérouane Debbah
Over the past decade, the use of Unmanned Aerial Vehicles (UAVs) has grown significantly due to their agility, maneuverability, and rapid deployability. An important application is the use of UAV-mounted 360-degree cameras for real-time streaming of Omnidirectional Videos (ODVs), enabling immersive experiences with up to six Degrees-of-freedom (6DoF) for applications like remote surveillance and gaming. However, streaming high-resolution ODVs with low latency (below 1 second) over an air-to-ground (A2G) wireless channel faces challenges due to its inherent non-stationarity, impacting the Quality-of-experience (QoE). Limited onboard energy availability and energy consumption variability based on flight parameters add to the complexity. This paper conducts a thorough survey of challenges and research efforts in UAV-based immersive video streaming. First, we outline the end-to-end 360-degree video transmission pipeline, covering coding, packaging, and streaming with a focus on standardization for device and service interoperability. Next, we review the research on optimizing video streaming over UAV-to-ground wireless channels, and present a real testbed demonstrating 360-degree video streaming from a UAV with remote control over a 5G network. To assess performance, a high-resolution 360-degree video dataset captured from UAVs under different conditions is introduced. Encoding schemes like AVC/H.264, HEVC/H.265, VVC/H.266, VP9, and AV1 are evaluated for encoding latency and QoE. Results show that HEVC‘s hardware implementation achieves a good QoE-latency trade-off, while AV1’s software implementation provides superior QoE. The paper concludes with discussions on open challenges and future directions for efficient and low-latency immersive video streaming via UAVs.
{"title":"Real-Time Immersive Aerial Video Streaming: A Comprehensive Survey, Benchmarking, and Open Challenges","authors":"Mohit K. Sharma;Ibrahim Farhat;Chen-Feng Liu;Nassim Sehad;Wassim Hamidouche;Mérouane Debbah","doi":"10.1109/OJCOMS.2024.3455763","DOIUrl":"10.1109/OJCOMS.2024.3455763","url":null,"abstract":"Over the past decade, the use of Unmanned Aerial Vehicles (UAVs) has grown significantly due to their agility, maneuverability, and rapid deployability. An important application is the use of UAV-mounted 360-degree cameras for real-time streaming of Omnidirectional Videos (ODVs), enabling immersive experiences with up to six Degrees-of-freedom (6DoF) for applications like remote surveillance and gaming. However, streaming high-resolution ODVs with low latency (below 1 second) over an air-to-ground (A2G) wireless channel faces challenges due to its inherent non-stationarity, impacting the Quality-of-experience (QoE). Limited onboard energy availability and energy consumption variability based on flight parameters add to the complexity. This paper conducts a thorough survey of challenges and research efforts in UAV-based immersive video streaming. First, we outline the end-to-end 360-degree video transmission pipeline, covering coding, packaging, and streaming with a focus on standardization for device and service interoperability. Next, we review the research on optimizing video streaming over UAV-to-ground wireless channels, and present a real testbed demonstrating 360-degree video streaming from a UAV with remote control over a 5G network. To assess performance, a high-resolution 360-degree video dataset captured from UAVs under different conditions is introduced. Encoding schemes like AVC/H.264, HEVC/H.265, VVC/H.266, VP9, and AV1 are evaluated for encoding latency and QoE. Results show that HEVC‘s hardware implementation achieves a good QoE-latency trade-off, while AV1’s software implementation provides superior QoE. The paper concludes with discussions on open challenges and future directions for efficient and low-latency immersive video streaming via UAVs.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10668820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-05DOI: 10.1109/ojcoms.2024.3454700
Marziyeh Karkhaneh, Sajedeh Norouzi, Mohammad R. Abedi, Nader Mokari, Mohammad R. Javan, Hamid Saeedi, Eduard A. Jorswieck
{"title":"Implementation Insights of Robust Dynamic Spectrum Sharing for Heterogeneous Services in Non-Standalone 5G","authors":"Marziyeh Karkhaneh, Sajedeh Norouzi, Mohammad R. Abedi, Nader Mokari, Mohammad R. Javan, Hamid Saeedi, Eduard A. Jorswieck","doi":"10.1109/ojcoms.2024.3454700","DOIUrl":"https://doi.org/10.1109/ojcoms.2024.3454700","url":null,"abstract":"","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209507","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}
Pub Date : 2024-09-04DOI: 10.1109/OJCOMS.2024.3454454
Luca Rugini;Keya Sardar;Giuseppe Baruffa
This paper proposes a Long Range (LoRa) chirp transmission scheme with multiple transmit and receive antennas. The main goal is to increase the data rate of LoRa using multiple-input multipleoutput (MIMO) spatial multiplexing. Several coherent detectors are proposed and compared in terms of performance, assuming a channel with flat Rayleigh fading and additive white Gaussian noise. By leveraging on a convenient matrix-vector model, we show that the maximum-likelihood (ML) detector can be obtained with low complexity, when the number of transmit antennas is two or three. When the number of transmit antennas is four or five, we propose a transmission scheme that permits a near- ML detection with reduced complexity. We also propose linear and widely linear detectors that exploit the signal sparsity in the chirp domain. Simulation results confirm the effectiveness of the proposed MIMO LoRa transmission schemes and detectors. Simulated results also include the effect of imperfect synchronization and channel estimation errors on the proposed coherent detection.
本文提出了一种具有多个发射和接收天线的长距离（LoRa）啁啾传输方案。其主要目标是利用多输入多输出（MIMO）空间复用技术提高 LoRa 的数据传输速率。假设信道具有平坦的瑞利衰落和加性白高斯噪声，提出了几种相干检测器并对其性能进行了比较。通过利用方便的矩阵-矢量模型，我们证明了当发射天线数量为两个或三个时，最大似然（ML）检测器的复杂度较低。当发射天线数量为四或五根时，我们提出了一种传输方案，允许以较低的复杂度实现接近 ML 的检测。我们还提出了利用啁啾域信号稀疏性的线性和广义线性检测器。仿真结果证实了所提出的 MIMO LoRa 传输方案和检测器的有效性。仿真结果还包括不完美同步和信道估计误差对拟议相干检测的影响。
{"title":"Coherent Detection of MIMO LoRa With Increased Data Rate","authors":"Luca Rugini;Keya Sardar;Giuseppe Baruffa","doi":"10.1109/OJCOMS.2024.3454454","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3454454","url":null,"abstract":"This paper proposes a Long Range (LoRa) chirp transmission scheme with multiple transmit and receive antennas. The main goal is to increase the data rate of LoRa using multiple-input multipleoutput (MIMO) spatial multiplexing. Several coherent detectors are proposed and compared in terms of performance, assuming a channel with flat Rayleigh fading and additive white Gaussian noise. By leveraging on a convenient matrix-vector model, we show that the maximum-likelihood (ML) detector can be obtained with low complexity, when the number of transmit antennas is two or three. When the number of transmit antennas is four or five, we propose a transmission scheme that permits a near- ML detection with reduced complexity. We also propose linear and widely linear detectors that exploit the signal sparsity in the chirp domain. Simulation results confirm the effectiveness of the proposed MIMO LoRa transmission schemes and detectors. Simulated results also include the effect of imperfect synchronization and channel estimation errors on the proposed coherent detection.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10664549","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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