Pub Date : 2024-09-17DOI: 10.1109/ojcoms.2024.3462503
Shakeel Ahmad, Muhammad Zaman, Ahmad Sami AL-Shamayleh, Tanzila Kehkashan, Rahiel Ahmad, Safi’ I Muhammad Abdulhamid, Ismail Ergen, Adnan Akhunzada
{"title":"Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection","authors":"Shakeel Ahmad, Muhammad Zaman, Ahmad Sami AL-Shamayleh, Tanzila Kehkashan, Rahiel Ahmad, Safi’ I Muhammad Abdulhamid, Ismail Ergen, Adnan Akhunzada","doi":"10.1109/ojcoms.2024.3462503","DOIUrl":"https://doi.org/10.1109/ojcoms.2024.3462503","url":null,"abstract":"","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"32 1","pages":""},"PeriodicalIF":7.9,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266178","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 : 2024-09-17DOI: 10.1109/OJCOMS.2024.3462689
Emad Ibrahim;Hui Chen;Zi Ye;Reza Ghazalian;Hyowon Kim;Rickard Nilsson;Henk Wymeersch;Jaap van de Beek
Polarization is a fundamental property of electromagnetic radio signals but often neglected in localization studies. In this paper, we study the potential benefits of integrating the polarization dimension into localization applications. We develop a three-dimensional (3D) geometric channel model between a base station (BS) and user equipment (UE), both equipped with dual-polarized (DP) antennas, which offers fundamental insights into the angles of departure (AoD) from the BS to the UE as well as the 3D orientation of the UE. From the model, we identify the degrees of freedom (DoF) provided by the polarization dimension for localization solutions by evaluating the rank of the equivalent Fisher information matrix. Subsequently, we leverage these DoF to introduce three distinct localization applications: (i) 3D orientation estimation, (ii) 2D AoD estimation, and (iii) mixed 2D position and 1D orientation estimation for vehicular scenarios. Furthermore, for the three localization applications we identify their regions of operation in terms of the ranges of the angles of interest, to avoid any ambiguity occurrence through the estimation process, thereby guaranteeing unique solutions. Finally, we derive the Cramér-Rao lower bounds and numerically establish the efficiency of the proposed estimators.
{"title":"Inferring Direction and Orientation From Polarized Signals: Feasibility and Bounds","authors":"Emad Ibrahim;Hui Chen;Zi Ye;Reza Ghazalian;Hyowon Kim;Rickard Nilsson;Henk Wymeersch;Jaap van de Beek","doi":"10.1109/OJCOMS.2024.3462689","DOIUrl":"10.1109/OJCOMS.2024.3462689","url":null,"abstract":"Polarization is a fundamental property of electromagnetic radio signals but often neglected in localization studies. In this paper, we study the potential benefits of integrating the polarization dimension into localization applications. We develop a three-dimensional (3D) geometric channel model between a base station (BS) and user equipment (UE), both equipped with dual-polarized (DP) antennas, which offers fundamental insights into the angles of departure (AoD) from the BS to the UE as well as the 3D orientation of the UE. From the model, we identify the degrees of freedom (DoF) provided by the polarization dimension for localization solutions by evaluating the rank of the equivalent Fisher information matrix. Subsequently, we leverage these DoF to introduce three distinct localization applications: (i) 3D orientation estimation, (ii) 2D AoD estimation, and (iii) mixed 2D position and 1D orientation estimation for vehicular scenarios. Furthermore, for the three localization applications we identify their regions of operation in terms of the ranges of the angles of interest, to avoid any ambiguity occurrence through the estimation process, thereby guaranteeing unique solutions. Finally, we derive the Cramér-Rao lower bounds and numerically establish the efficiency of the proposed estimators.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6033-6047"},"PeriodicalIF":6.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10681525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266180","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}
As a promising alternative to traditional underwater communication methods, underwater wireless optical communication (UWOC) offers higher data rates, lower latency, and enhanced security. However, the practical implementation of high-speed UWOC systems typically faces challenges arising from bandwidth-limited optical devices and adverse effects of absorption, scattering, and oceanic turbulence. To tackle these challenges, we propose a novel joint probabilistic shaping and precoding scheme that simultaneously optimizes the mutual information (MI) and reduces the peak-to-average power ratio (PAPR) of multiple-input single-output (MISO) orthogonal frequency-division multiplexing (OFDM) UWOC systems. Specifically, the proposed approach probabilistically shapes the transmitted symbols and appropriately allocates weights to both multi-light sources and multi-carriers based on precoding to match the channel characteristics. Numerical results demonstrate its superiority over existing schemes, particularly showcasing its potential to significantly improve the performance of UWOC systems via MI optimization and PAPR reduction. Moreover, the results verify that the proposed approach exhibits satisfactory robustness against oceanic turbulence.
作为传统水下通信方法的一种有前途的替代方法,水下无线光通信(UWOC)具有更高的数据传输速率、更低的延迟和更强的安全性。然而,高速 UWOC 系统的实际应用通常面临着带宽受限的光学设备以及吸收、散射和海洋湍流等不利影响所带来的挑战。为应对这些挑战,我们提出了一种新型概率整形和预编码联合方案,可同时优化互信息(MI)并降低多输入单输出(MISO)正交频分复用(OFDM)UWOC 系统的峰均功率比(PAPR)。具体来说,所提出的方法以概率方式确定传输符号的形状,并根据预编码为多光源和多载波适当分配权重,以匹配信道特性。数值结果证明了该方法优于现有方案,特别是通过 MI 优化和降低 PAPR,展示了其显著提高 UWOC 系统性能的潜力。此外,结果还验证了所提出的方法对海洋湍流具有令人满意的鲁棒性。
{"title":"Mutual Information Optimization With PAPR Reduction for MISO-OFDM UWOC Through Probabilistic Shaping and Precoding","authors":"Liyan Zhang;Sihui Zheng;Fan Yang;Long Zhang;Rui Jiang;Weijie Dai;Yuhan Dong;Xinke Tang;Xun Guan;Jian Song","doi":"10.1109/OJCOMS.2024.3461836","DOIUrl":"10.1109/OJCOMS.2024.3461836","url":null,"abstract":"As a promising alternative to traditional underwater communication methods, underwater wireless optical communication (UWOC) offers higher data rates, lower latency, and enhanced security. However, the practical implementation of high-speed UWOC systems typically faces challenges arising from bandwidth-limited optical devices and adverse effects of absorption, scattering, and oceanic turbulence. To tackle these challenges, we propose a novel joint probabilistic shaping and precoding scheme that simultaneously optimizes the mutual information (MI) and reduces the peak-to-average power ratio (PAPR) of multiple-input single-output (MISO) orthogonal frequency-division multiplexing (OFDM) UWOC systems. Specifically, the proposed approach probabilistically shapes the transmitted symbols and appropriately allocates weights to both multi-light sources and multi-carriers based on precoding to match the channel characteristics. Numerical results demonstrate its superiority over existing schemes, particularly showcasing its potential to significantly improve the performance of UWOC systems via MI optimization and PAPR reduction. Moreover, the results verify that the proposed approach exhibits satisfactory robustness against oceanic turbulence.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6079-6089"},"PeriodicalIF":6.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10681099","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266181","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 : 2024-09-16DOI: 10.1109/OJCOMS.2024.3461334
Abdulmohsen Alsaui;Ibrahim Al-Nahhal;Octavia A. Dobre
Multiple-input multiple-output (MIMO) technology utilizes multiple antennas at the transmitter and receiver to enhance data transmission speeds and reliability. Traditional MIMO decoding methods, however, can become increasingly complex as the number of antennas and modulation order rises. Quantum computing brings forth a new realm of information processing with significant potential. This study investigates the applicability of quantum algorithms for decoding information in MIMO wireless communication systems. Specifically, the Dürr-Høyer quantum search, based on Grover’s algorithm, and optimal quantum sorting algorithms are leveraged to reduce the query complexity with an analysis of the complexity and achievable bit error rate performance of the quantum-assisted decoders. The study considers cases of MIMO diversity, spatial modulation, and multiplexing transmission using both maximum-likelihood and fixed-complexity sphere decoders. By examining a variety of communication scenarios, this work aims to assess the applicability of quantum algorithms across different operational regimes and aids in extending the methodology to other communication systems.
{"title":"When are Quantum Algorithms Applicable for Signal Decoding in Wireless Communication?","authors":"Abdulmohsen Alsaui;Ibrahim Al-Nahhal;Octavia A. Dobre","doi":"10.1109/OJCOMS.2024.3461334","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3461334","url":null,"abstract":"Multiple-input multiple-output (MIMO) technology utilizes multiple antennas at the transmitter and receiver to enhance data transmission speeds and reliability. Traditional MIMO decoding methods, however, can become increasingly complex as the number of antennas and modulation order rises. Quantum computing brings forth a new realm of information processing with significant potential. This study investigates the applicability of quantum algorithms for decoding information in MIMO wireless communication systems. Specifically, the Dürr-Høyer quantum search, based on Grover’s algorithm, and optimal quantum sorting algorithms are leveraged to reduce the query complexity with an analysis of the complexity and achievable bit error rate performance of the quantum-assisted decoders. The study considers cases of MIMO diversity, spatial modulation, and multiplexing transmission using both maximum-likelihood and fixed-complexity sphere decoders. By examining a variety of communication scenarios, this work aims to assess the applicability of quantum algorithms across different operational regimes and aids in extending the methodology to other communication systems.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6314-6328"},"PeriodicalIF":6.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680379","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142408891","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 : 2024-09-13DOI: 10.1109/OJCOMS.2024.3459955
Yunan Zhu;Haining Huang;Zhanqing Pu;Biao Wang;Yu Li
This paper presents a novel variant of filter bank multicarrier (FBMC) communication, which carries additional bits through mapping the real and imaginary parts of the symbol to the active time-frequency (TF) points, called FBMC with real part and imaginary part index modulation (FBMCRIIM). Spectral efficiency is improved by doubling the index bits and the inherent interference in each index group is significantly reduced. In this paper, an efficient combination set selection strategy, which synthetically considers the average Hamming distance, average poor index number and average interference coefficient, is also designed. The BER performance comparison between the proposed and reference schemes is obtained under different index modes, spectral efficiency, modulation order and prototype filters. The enhanced performance demonstrates that the proposed scheme is a promising alternative for multicarrier transmission by outperforming the existing FBMC-IM counterpart.
{"title":"Filter Bank Multicarrier Communication With Real Part and Imaginary Part Index Modulation","authors":"Yunan Zhu;Haining Huang;Zhanqing Pu;Biao Wang;Yu Li","doi":"10.1109/OJCOMS.2024.3459955","DOIUrl":"10.1109/OJCOMS.2024.3459955","url":null,"abstract":"This paper presents a novel variant of filter bank multicarrier (FBMC) communication, which carries additional bits through mapping the real and imaginary parts of the symbol to the active time-frequency (TF) points, called FBMC with real part and imaginary part index modulation (FBMCRIIM). Spectral efficiency is improved by doubling the index bits and the inherent interference in each index group is significantly reduced. In this paper, an efficient combination set selection strategy, which synthetically considers the average Hamming distance, average poor index number and average interference coefficient, is also designed. The BER performance comparison between the proposed and reference schemes is obtained under different index modes, spectral efficiency, modulation order and prototype filters. The enhanced performance demonstrates that the proposed scheme is a promising alternative for multicarrier transmission by outperforming the existing FBMC-IM counterpart.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6201-6211"},"PeriodicalIF":6.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10679975","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142269519","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 : 2024-09-13DOI: 10.1109/OJCOMS.2024.3460422
Tomás Lestayo Martínez;Manuel Fernández Veiga
Multicast transmission is the natural approach to efficiently transport data from a source to multiple receivers using minimum network bandwidth. Two incompatible options exist to realize this multicast support: the classical one is the design and deployment of a specific multicast routing protocol at the network layer, and the other one is the shift toward a network-coding solution where the routers encode incoming packets into algebraic structures before forwarding them to the next hop. Both alternatives involve practical complexities that have hindered their adoption at a large scale in content delivery networks (CDN) due to their signaling overhead, but mainly because in both cases the network must adhere to an all-or-nothing behavior: either all the routers follow the rules of the data and control planes, or the schemes fail to work globally. In this paper, we propose Source-Coded Multicast (SCM), a novel technique for content delivery in multicast networks that uses the network bandwidth efficiently while requiring encoding operations only at the source node. Thus, SCM does not rely on a strict multicast routing protocol nor on re-encoding algorithms at the routers, so it is both practical and useful for CDNs and other applications. We further extend the approach to aggregated sources, i.e., multiple multicast sources with partially overlapped distribution trees. Our numerical results show that SCM is optimal or nearly optimal in a large fraction of network topologies, and overcomes the complexity of legacy IP-based multicast and network coding.
组播传输是利用最小网络带宽将数据从一个数据源有效传输到多个接收器的自然方法。要实现这种组播支持,有两种互不兼容的方案:一种是在网络层设计和部署特定的组播路由协议,另一种是转向网络编码解决方案,即路由器在将传入数据包转发到下一跳之前,将其编码为代数结构。这两种方案都存在实际操作上的复杂性,由于其信令开销大,阻碍了它们在内容交付网络(CDN)中的大规模应用,但主要原因是在这两种情况下,网络都必须遵守 "全有或全无 "的行为准则:要么所有路由器都遵守数据平面和控制平面的规则,要么这些方案无法在全局范围内发挥作用。在本文中,我们提出了源编码组播(Source-Coded Multicast,SCM),这是一种在组播网络中传输内容的新技术,它能有效利用网络带宽,同时只需要在源节点进行编码操作。因此,SCM 既不依赖于严格的组播路由协议,也不依赖于路由器上的重编码算法,对 CDN 和其他应用来说既实用又有用。我们进一步将该方法扩展到聚合源,即具有部分重叠分布树的多个组播源。我们的数值结果表明,SCM 在大部分网络拓扑结构中都是最优或接近最优的,并克服了传统的基于 IP 的组播和网络编码的复杂性。
{"title":"Source-Coded Multicast With Single and Aggregated Sources for Efficient Content Delivery","authors":"Tomás Lestayo Martínez;Manuel Fernández Veiga","doi":"10.1109/OJCOMS.2024.3460422","DOIUrl":"10.1109/OJCOMS.2024.3460422","url":null,"abstract":"Multicast transmission is the natural approach to efficiently transport data from a source to multiple receivers using minimum network bandwidth. Two incompatible options exist to realize this multicast support: the classical one is the design and deployment of a specific multicast routing protocol at the network layer, and the other one is the shift toward a network-coding solution where the routers encode incoming packets into algebraic structures before forwarding them to the next hop. Both alternatives involve practical complexities that have hindered their adoption at a large scale in content delivery networks (CDN) due to their signaling overhead, but mainly because in both cases the network must adhere to an all-or-nothing behavior: either all the routers follow the rules of the data and control planes, or the schemes fail to work globally. In this paper, we propose Source-Coded Multicast (SCM), a novel technique for content delivery in multicast networks that uses the network bandwidth efficiently while requiring encoding operations only at the source node. Thus, SCM does not rely on a strict multicast routing protocol nor on re-encoding algorithms at the routers, so it is both practical and useful for CDNs and other applications. We further extend the approach to aggregated sources, i.e., multiple multicast sources with partially overlapped distribution trees. Our numerical results show that SCM is optimal or nearly optimal in a large fraction of network topologies, and overcomes the complexity of legacy IP-based multicast and network coding.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6106-6118"},"PeriodicalIF":6.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266183","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}
With the advent of the fifth-generation (5G) and beyond mobile communications, a plethora of Internet-of-Things (IoTs) applications, such as intelligent factories, smart transportation, and others are rapidly evolving. 5G and beyond networks support three typical application scenarios, i.e., ultra-reliable and low-latency communications (URLLC), enhanced mobile broadband (eMBB) and massive machine type communication (mMTC), each of which renders a distinct set of quality of service in terms of reliability, latency, transmission rate and connectivity. URLLC is seen as a crucial technology for supporting critical applications because of its emphasis on rare and extreme events, as well as its strict demands for low latency and high reliability [1]. For example, in order to effectively support applications like robot control, autonomous vehicles, and virtual reality, it is necessary to have an end-to-end delay threshold of 1 to 10 milliseconds and a block error rate (BLER) between 10−5 and 10−7 [2]. Due to the unique limitations of increased reliability and reduced latency, URLLC traffic often involves very brief transmission blocklengths, making Shannon’s capacity theorem irrelevant [3], [4]. On the other hand, existing cellular systems face difficulties in meeting the stringent quality of service (QoS) criteria needed for URLLC due to structural constraints. Therefore, it is essential to have advanced network architectures and various access technologies in order to achieve URLLC.
{"title":"Rate Splitting Multiple Access Assisted Cell-Free Massive MIMO for URLLC Services in 5G and Beyond Networks","authors":"Fangqing Tan;Shunyu Si;Hongbin Chen;Shichao Li;Tiejun Lv","doi":"10.1109/OJCOMS.2024.3459911","DOIUrl":"10.1109/OJCOMS.2024.3459911","url":null,"abstract":"With the advent of the fifth-generation (5G) and beyond mobile communications, a plethora of Internet-of-Things (IoTs) applications, such as intelligent factories, smart transportation, and others are rapidly evolving. 5G and beyond networks support three typical application scenarios, i.e., ultra-reliable and low-latency communications (URLLC), enhanced mobile broadband (eMBB) and massive machine type communication (mMTC), each of which renders a distinct set of quality of service in terms of reliability, latency, transmission rate and connectivity. URLLC is seen as a crucial technology for supporting critical applications because of its emphasis on rare and extreme events, as well as its strict demands for low latency and high reliability [1]. For example, in order to effectively support applications like robot control, autonomous vehicles, and virtual reality, it is necessary to have an end-to-end delay threshold of 1 to 10 milliseconds and a block error rate (BLER) between 10−5 and 10−7 [2]. Due to the unique limitations of increased reliability and reduced latency, URLLC traffic often involves very brief transmission blocklengths, making Shannon’s capacity theorem irrelevant [3], [4]. On the other hand, existing cellular systems face difficulties in meeting the stringent quality of service (QoS) criteria needed for URLLC due to structural constraints. Therefore, it is essential to have advanced network architectures and various access technologies in order to achieve URLLC.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6018-6032"},"PeriodicalIF":6.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266182","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}
Reconfigurable intelligent surface (RIS) has appeared as a revolutionary candidate technology for future sixth-generation (6G) networks, but most works have relied on single-connected reflective RISs, which are mathematically described by diagonal phase shift matrices. In this work, based on the recently presented research on beyond diagonal (BD) RIS unifying different RIS models and architectures towards enhanced advantages such as a greater coverage, we study the impact of channel aging due to user equipment (UE) movement. Especially, we evaluate how channel aging diminishes the system performance of multiple sector BD-RIS systems. Through a robust design, concerning the average sum-rate maximisation problem, we jointly design the BD-matrix and transmit precoder under the channel aging conditions. Numerical results show how channel aging affects performance with respect to fundamental system parameters and shed light on how general aging can be compensated.
{"title":"Effect of Channel Aging on Beyond Diagonal Reconfigurable Intelligent Surfaces","authors":"Anastasios Papazafeiropoulos;Pandelis Kourtessis;Symeon Chatzinotas","doi":"10.1109/OJCOMS.2024.3460055","DOIUrl":"10.1109/OJCOMS.2024.3460055","url":null,"abstract":"Reconfigurable intelligent surface (RIS) has appeared as a revolutionary candidate technology for future sixth-generation (6G) networks, but most works have relied on single-connected reflective RISs, which are mathematically described by diagonal phase shift matrices. In this work, based on the recently presented research on beyond diagonal (BD) RIS unifying different RIS models and architectures towards enhanced advantages such as a greater coverage, we study the impact of channel aging due to user equipment (UE) movement. Especially, we evaluate how channel aging diminishes the system performance of multiple sector BD-RIS systems. Through a robust design, concerning the average sum-rate maximisation problem, we jointly design the BD-matrix and transmit precoder under the channel aging conditions. Numerical results show how channel aging affects performance with respect to fundamental system parameters and shed light on how general aging can be compensated.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"6303-6313"},"PeriodicalIF":6.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142269520","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}
{"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":"29 1","pages":""},"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.2024.3458088
Ioannis Schoinas;Anna Triantafyllou;Dimosthenis Ioannidis;Dimitrios Tzovaras;Anastasios Drosou;Konstantinos Votis;Thomas Lagkas;Vasileios Argyriou;Panagiotis Sarigiannidis
Federated Learning has emerged as a revolutionary technology in Machine Learning (ML), enabling collaborative training of models in a distributed environment while ensuring privacy and security. This work discusses the topic of FL by providing insights into its various dimensions, perspectives, and components, leading to a comprehensive understanding of the technology. The survey begins by introducing the basic principles of FL and provides a high-level taxonomy of its methods. It continues by presenting application domains and associating challenges, categories and their applications. This mapping allows for an understanding of how particular challenges manifest in different contexts and applications. The main body delves into the various aspects of FL, including centralized and decentralized variants, methods for improving efficiency and effectiveness, and concerns regarding security, privacy, dynamic conditions, fairness, scalability and integration with other new technologies. Ultimately, the goal is to present recent advancements in these areas, along with new challenges and opportunities for future exploration. FL is poised to reshape the landscape of intelligent systems while promoting data privacy in decentralized and collaborative learning. Finally, this survey can serve as a reference point for methodological improvements as it highlights the strengths and weaknesses of existing approaches.
{"title":"Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains","authors":"Ioannis Schoinas;Anna Triantafyllou;Dimosthenis Ioannidis;Dimitrios Tzovaras;Anastasios Drosou;Konstantinos Votis;Thomas Lagkas;Vasileios Argyriou;Panagiotis Sarigiannidis","doi":"10.1109/OJCOMS.2024.3458088","DOIUrl":"10.1109/OJCOMS.2024.3458088","url":null,"abstract":"Federated Learning has emerged as a revolutionary technology in Machine Learning (ML), enabling collaborative training of models in a distributed environment while ensuring privacy and security. This work discusses the topic of FL by providing insights into its various dimensions, perspectives, and components, leading to a comprehensive understanding of the technology. The survey begins by introducing the basic principles of FL and provides a high-level taxonomy of its methods. It continues by presenting application domains and associating challenges, categories and their applications. This mapping allows for an understanding of how particular challenges manifest in different contexts and applications. The main body delves into the various aspects of FL, including centralized and decentralized variants, methods for improving efficiency and effectiveness, and concerns regarding security, privacy, dynamic conditions, fairness, scalability and integration with other new technologies. Ultimately, the goal is to present recent advancements in these areas, along with new challenges and opportunities for future exploration. FL is poised to reshape the landscape of intelligent systems while promoting data privacy in decentralized and collaborative learning. Finally, this survey can serve as a reference point for methodological improvements as it highlights the strengths and weaknesses of existing approaches.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5933-6017"},"PeriodicalIF":6.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10677499","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209501","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}