IEEE Open Journal of the Communications Society最新文献_第9页

Throughput Maximization in RIS-Assisted NOMA-THz Communication Network 在 RIS 辅助 NOMA-THz 通信网络中实现吞吐量最大化

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-09-04 DOI: 10.1109/OJCOMS.2024.3454255

Tan Do-Duy;Antonino Masaracchia;Berk Canberk;Long D. Nguyen;Trung Q. Duong

{"title":"Throughput Maximization in RIS-Assisted NOMA-THz Communication Network","authors":"Tan Do-Duy;Antonino Masaracchia;Berk Canberk;Long D. Nguyen;Trung Q. Duong","doi":"10.1109/OJCOMS.2024.3454255","DOIUrl":"10.1109/OJCOMS.2024.3454255","url":null,"abstract":"In order to overcome spectrum scarcity and provide higher data rates, the sixth-generation (6G) wireless communication network is expected to perform data transmission using terahertz (THz) frequencies. However, the effective implementation of these communication systems is hampered by severe levels of signal degradation to which the THz bandwidth is subject to. Recent improvements and advancements in the fabrication process of electromagnetic (EM) metamaterials have made reconfigurable intelligent surfaces (RIS) a very promising solution to address these THz-related attenuation issues. Additionally, the adoption of non-orthogonal multiple access (NOMA) transmissions represents an effective way to improve spectrum efficiency for 6G networks. In this paper, we investigate the problem of downlink aggregated sum-rate maximisation for a multiple-input multiple-output (MIMO) system assisted by a RIS panel in performing NOMA transmission within the THz bandwidth. More specifically, we propose an optimization algorithm that jointly optimizes the transmitting power at the access point (AP) and the phase-shift coefficients for the RIS elements iteratively. Through simulation results, we demonstrate that the proposed method outperforms conventional benchmark schemes in terms of achieved aggregated throughput.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5706-5717"},"PeriodicalIF":6.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10664548","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209509","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}

引用次数: 0

Leveraging Load Balance Metrics to Unravel the Impact of Multi-Access Edge Computing Locations on Online Dynamic Network Performance 利用负载平衡指标揭示多接入边缘计算位置对在线动态网络性能的影响

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-09-03 DOI: 10.1109/OJCOMS.2024.3453972

Maryam Masoumi;Ignacio de Miguel;Fabrizio Gabrio Brasca;Noemí Merayo;Rubén M. Lorenzo;Ramón J. Durán Barroso

{"title":"Leveraging Load Balance Metrics to Unravel the Impact of Multi-Access Edge Computing Locations on Online Dynamic Network Performance","authors":"Maryam Masoumi;Ignacio de Miguel;Fabrizio Gabrio Brasca;Noemí Merayo;Rubén M. Lorenzo;Ramón J. Durán Barroso","doi":"10.1109/OJCOMS.2024.3453972","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3453972","url":null,"abstract":"Telecommunication operators are increasingly relying on Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC) to support emerging 5G/6G services, which demand ultralow latency and ultra-reliability. Employing NFV and MEC enable operators to deliver services through Service Function Chains (SFC) composed of Virtual Network Functions (VNFs) utilizing computing resources close to the end user. A critical challenge in this architecture is the efficient allocation of these resources and the strategic placement of MEC sites to host VNFs. This paper introduces, for the first time, a novel approach to efficiently determine where to locate MEC sites with the aim of optimizing dynamic performance. Instead of conducting time-consuming simulations to evaluate and compare each and every potential selection of MEC sites, we demonstrate that by quickly precomputing load balance metrics, such as the Jain fairness index (JFI), promising sets of sites can be identified. Our research shows that there is a statistically significant negative monotonic relationship between the precomputed JFI and the blocking probability when, during network operation, SFCs are dynamically established and released. Thus, by leveraging this fast identification method, network operators can focus their efforts, such as conducting detailed dynamic simulations (necessarily long and time-consuming since networks should operate with low or very low blocking ratios), solely on the most promising combinations. Therefore, this approach streamlines the process of determining the strategic location of MEC sites in a network, reducing the time required to plan and optimize the network configuration effectively.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5635-5651"},"PeriodicalIF":6.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10663681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173899","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}

引用次数: 0

OTFS-Based Proactive Dynamic UAV Positioning for High-Speed Train Coverage 基于 OTFS 的无人机主动动态定位技术，用于高速列车覆盖范围

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-09-03 DOI: 10.1109/OJCOMS.2024.3453906

Ehab Mahmoud Mohamed;Mostafa M. Fouda

{"title":"OTFS-Based Proactive Dynamic UAV Positioning for High-Speed Train Coverage","authors":"Ehab Mahmoud Mohamed;Mostafa M. Fouda","doi":"10.1109/OJCOMS.2024.3453906","DOIUrl":"10.1109/OJCOMS.2024.3453906","url":null,"abstract":"The continuous wireless coverage of high-speed trains (HSTs) constitutes a big challenge due to their incredible speed reaching hundreds of kilometers per hour (km/hr). This necessitates the deployment of massive number of ground base stations (BS), which is costly particularly in rural and wilderness areas. Likewise, satellites will not provide the required ultra-high speed communication rates due to their lower operating frequencies and high path losses. Instead, in this paper, unmanned aerial vehicles (UAVs) are utilized for providing continuous coverage for HST with high data rate connectivity thanks to their flying, hovering and maneuvering capabilities at low altitudes. However, UAVs are flying at speeds much lower than HST, which necessities proactive and dynamic UAV positioning according to HST and UAV relative velocities. Hence, we propose to utilize the estimated UAV-HST channel parameters in the delay-doppler (DD) domain, employing orthogonal time-frequency space (OTFS) modulation, to facilitate proactive dynamic UAV positioning for continuous HST coverage. The UAV-HST DD channel allows for the estimation of relative velocities between UAV and HST as well as their separation distance, essential for predicting HST positions and proactively placing UAV to optimize HST coverage time and data transmission rates. Mathematical and numerical analysis demonstrate the effectiveness of the proposed approach compared to other benchmarks under various scenarios.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5718-5734"},"PeriodicalIF":6.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10663682","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209512","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}

引用次数: 0

MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer MVX-ViT：利用视觉转换器为 6G V2X 网络管理决策提供多模态协作感知

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-30 DOI: 10.1109/OJCOMS.2024.3452591

Ghazi Gharsallah;Georges Kaddoum

{"title":"MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer","authors":"Ghazi Gharsallah;Georges Kaddoum","doi":"10.1109/OJCOMS.2024.3452591","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3452591","url":null,"abstract":"Advancements in sixth-generation (6G) networks, coupled with the evolution of multimodal sensing in vehicle-to-everything (V2X) networks, have opened avenues for transformative research into multimodal-based artificial intelligence (AI) applications for wireless communication and network management. However, this promising research direction is often constrained by the limited availability of suitable datasets. In response, this paper introduces a comprehensive configurable co-simulation framework that integrates the state-of-the-art CARLA and Sionna simulators to generate a multimodal multi-view V2X (MVX) dataset. We present novel AI-based models to predict future line-of-sight (LoS) blockages and optimal beam direction as well as an innovative antenna position optimization (APO) solution, all of which are underpinned by the multimodal dataset MVX. Our framework capitalizes on collaborative perception and significantly enhances V2X communication by integrating LiDAR and wireless data. Thorough evaluations demonstrate that our collaborative perception approach outperforms traditional methods of both beam and blockage prediction in terms of accuracy and efficiency. Additionally, we evaluate the importance of infrastructural elements in V2X systems and conduct a computational study to illustrate that our framework is suitable for various operational scenarios and can be used as a digital twin solution. This work not only contributes to the field of V2X wireless communications by providing a versatile framework for network management but also sets the stage for future research on multi-sensor fusion in AI applications for V2X wireless communication environments to enhance the efficiency and resilience of future 6G networks.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5619-5634"},"PeriodicalIF":6.3,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10660494","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173946","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}

引用次数: 0

Leveraging 5G SA for R&D: Capabilities and Beam-Based Empirical Analysis 利用 5G SA 进行研发：能力和基于波束的实证分析

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-29 DOI: 10.1109/OJCOMS.2024.3451478

Antonio Tarrías;Eduardo Baena;Sergio Fortes;Raquel Barco

{"title":"Leveraging 5G SA for R&D: Capabilities and Beam-Based Empirical Analysis","authors":"Antonio Tarrías;Eduardo Baena;Sergio Fortes;Raquel Barco","doi":"10.1109/OJCOMS.2024.3451478","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3451478","url":null,"abstract":"The deployment of the Fifth Generation (5G) cellular networks has been addressed by the operators during the last years. However, it has been focused on 5G Non-Standalone (NSA) because they have leveraged the current Long Term Evolution (LTE) deployments. NSA mode uses LTE as anchor technology, allowing the operators to keep providing coverage in all the areas they covered with LTE, and to gradually introduce 5G in high-traffic or crowded areas. But NSA operation do not enable all the novelties introduced by 5G in order to achieve better performance. Moreover, novel features (e.g., beamforming) also introduce a lot of parameters whose configuration will become a work item towards network management. At the University of Malaga (UMA) MobileNet research group, a complete 5G Standalone (SA) infrastructure has been deployed for Research & Development (R&D) purposes. It is a private network composed of commercial equipment that allows controlling all the components, modifying all the parameters, and getting metrics from each part of the network. The aim of this work is to describe the infrastructure and potential opportunities regarding the different 5G-enabled UC. To achieve this, an in-depth study has been accomplished in order to unveil the different options to configure the network, interact with it, and collect its metrics. First, the indoor and outdoor cells’ baseline performance has been measured. Then, research experiments have been performed on the infrastructure, and the results are presented in this paper. The infrastructure capabilities are mainly disclosed, and additional beamforming-based analysis is conducted from the real field measurements. This analysis comprises beam switching, beam-based localization, and Key Performance Indicator (KPI) definition toward network management.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5608-5618"},"PeriodicalIF":6.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10659107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173970","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}

引用次数: 0

A Simpler Proof on the Existence of Good Nested Lattice Codes Over Imaginary Quadratic Integers for AWGN Channel 关于 AWGN 信道虚二次整数上良好嵌套网格编码存在性的简化证明

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-29 DOI: 10.1109/OJCOMS.2024.3452040

Maryam Sadeghi;Renming Qi;Chen Feng;Hassan Khodaiemehr;Yu-Chih Huang

引用次数: 0

On the Channel Activity Detection in LoRaWAN Networks 关于 LoRaWAN 网络中的信道活动检测

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-29 DOI: 10.1109/OJCOMS.2024.3451661

Lorenzo Vangelista;Giancarlo Calvagno

引用次数: 0

Leveraging Transformer Models for Anti-Jamming in Heavily Attacked UAV Environments 利用变压器模型在受到严重攻击的无人机环境中抗干扰

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-28 DOI: 10.1109/OJCOMS.2024.3451288

Ibrahim Elleuch;Ali Pourranjbar;Georges Kaddoum

{"title":"Leveraging Transformer Models for Anti-Jamming in Heavily Attacked UAV Environments","authors":"Ibrahim Elleuch;Ali Pourranjbar;Georges Kaddoum","doi":"10.1109/OJCOMS.2024.3451288","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3451288","url":null,"abstract":"In recent years, due to their ability to transmit and relay wireless signals in challenging terrains, Unmanned Aerial Vehicles (UAVs) and High Altitude Platform Stations (HAPS) have become indispensable in various operations in security, emergency, and military campaigns. However, these networks’ ad-hoc structure and open nature make them highly vulnerable to numerous threats and, in particular, to severe jamming attacks. Furthermore, the communication link between a HAPS and multiple UAVs is also under the threat of multiple and different jamming attacks. Addressing these challenges requires innovative and novel methods capable of interactive and proactive defence strategies. To this end, in this study, we propose a method that combines a pseudo-random (PR) algorithm for initial channel selection with a Transformer-based module to predict jammer behavior. This proactive approach significantly enhances the robustness of UAV communications. Our results demonstrate substantial improvements in transmission success rates and prediction accuracy, offering a robust solution for secure UAV and HAPS communications under adverse conditions.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5337-5347"},"PeriodicalIF":6.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143718","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}

引用次数: 0

Trajectory-Unaware Channel Gain Forecast in a Distributed Massive MIMO System Based on a Multivariate BiLSTM Model 基于多变量 BiLSTM 模型的分布式大规模多输入多输出系统中的轨迹无感知信道增益预测

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-28 DOI: 10.1109/OJCOMS.2024.3451313

Rodney Martinez Alonso;Robbert Beerten;Achiel Colpaert;Andrea P. Guevara;Sofie Pollin

{"title":"Trajectory-Unaware Channel Gain Forecast in a Distributed Massive MIMO System Based on a Multivariate BiLSTM Model","authors":"Rodney Martinez Alonso;Robbert Beerten;Achiel Colpaert;Andrea P. Guevara;Sofie Pollin","doi":"10.1109/OJCOMS.2024.3451313","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3451313","url":null,"abstract":"Cell-free massive MIMO networks have recently emerged as an attractive solution capable of solving the performance degradation at the cell edge of cellular networks. For scalability reasons, usercentric clusters were recently proposed to serve users via a subset of APs. In the case of dynamic mobile scenarios, this network organization requires predictive algorithms for forecasting propagation parameters to maintain performance by proactively allocating new APs to a user. However, a major scientific challenge is the accuracy of predicting the channel gain evolution in non-stationary channels with low computational complexity, considering the uncertainty caused by user mobility. The novelty of this paper is the design of a multidimensional BiLSTM-based multivariate channel gain forecasting algorithm achieving a similar accuracy to previous research at reduced computational complexity. Indeed, thanks to the combination of dual prediction by the multidimensional BiLSTM exploiting the channel diversity from multiple antennas, our model mitigates the error propagation typically faced by sequential neural networks. Our model has a lower error by at least a factor of 2.7 and lower complexity by a factor of 3.6 (for a single prediction), compared to hybrid CNN-LSTM model. Also, in contrast to parallel transformer solutions, the growth rate of the complexity of our algorithm is significantly lower.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5348-5363"},"PeriodicalIF":6.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654334","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160073","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}

引用次数: 0

Channel State Acquisition in Uplink NOMA for Cellular-Connected UAV: Exploitation of Doppler and Modulation Diversities 蜂窝连接无人机上行链路 NOMA 中的信道状态获取：利用多普勒和调制多样性

IF 6.3

IEEE Open Journal of the Communications Society Pub Date : 2024-08-28 DOI: 10.1109/OJCOMS.2024.3451308

Donatella Darsena;Ivan Iudice;Francesco Verde

{"title":"Channel State Acquisition in Uplink NOMA for Cellular-Connected UAV: Exploitation of Doppler and Modulation Diversities","authors":"Donatella Darsena;Ivan Iudice;Francesco Verde","doi":"10.1109/OJCOMS.2024.3451308","DOIUrl":"https://doi.org/10.1109/OJCOMS.2024.3451308","url":null,"abstract":"Integration of unmanned aerial vehicles (UAVs) for surveillance or monitoring applications into fifth generation (5G) New Radio (NR) cellular networks is an intriguing problem that has recently tackled a lot of interest in both academia and industry. For an efficient spectrum usage, we consider a recently-proposed sky-ground nonorthogonal multiple access (NOMA) scheme, where a cellular-connected UAV acting as aerial user (AU) and a static terrestrial user (TU) are paired to simultaneously transmit their uplink signals to a base station (BS) in the same time-frequency resource blocks. In such a case, due to the highly dynamic nature of the UAV, the signal transmitted by the AU experiences both time dispersion due to multipath propagation effects and frequency dispersion caused by Doppler shifts. On the other hand, for a static ground network, frequency dispersion of the signal transmitted by the TU is negligible and only multipath effects have to be taken into account. To decode the superposed signals at the BS through successive interference cancelation, accurate estimates of both the AU and TU channels are needed. In this paper, we propose channel estimation procedures that suitably exploit the different circular/noncircular modulation formats (modulation diversity) and the different almost-cyclostationarity features (Doppler diversity) of the AU and TU by means of widely-linear time-varying processing. Our estimation approach is semi-blind since Doppler shifts and time delays of the AU are estimated based on the received data only, whereas the remaining relevant parameters of the AU and TU channels are acquired relying also on the available training symbols, which are transmitted by the AU and TU in a nonorthogonal manner. Monte Carlo numerical results demonstrate that the proposed channel estimation algorithms can satisfactorily acquire all the relevant parameters in different operative conditions.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"5408-5426"},"PeriodicalIF":6.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654324","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143716","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}

引用次数: 0