Zouhir Bellal;Laaziz Lahlou;Nadjia Kara;Ibtissam El Khayat
{"title":"GAS: DVFS-Driven Energy Efficiency Approach for Latency-Guaranteed Edge Computing Microservices","authors":"Zouhir Bellal;Laaziz Lahlou;Nadjia Kara;Ibtissam El Khayat","doi":"10.1109/TGCN.2024.3420957","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3420957","url":null,"abstract":"Edge computing-based microservices (ECM) are pivotal infrastructure components for latency-critical applications such as Virtual Reality/Augmented Reality (VR/AR) and the Internet of Things (IoT). ECM involves strategically deploying microservices at the network’s edge to fulfill the low latency needs of modern applications. However, achieving efficient resource and energy consumption while meeting the latency requirement in the ECM environment remains challenging. Dynamic Voltage and Frequency Scaling (DVFS) is a common technique to address this issue. It adjusts the CPU frequency and voltage to balance energy cost and performance. However, selecting the optimal CPU frequency depends on the nature of the microservice workload (e.g., CPU-bound, memory-bound, or mixed). Moreover, various microservices with different latency requirement can be deployed on the same edge node. This makes the DVFS application extremely challenging, particularly for a chip-wide DVFS implementation for which CPU cores operate at the same frequency and voltage. To this end, we propose GAS, enerGy Aware microServices edge computing framework, which enables CPU frequency scaling to meet diverse microservice latency requirement with the minimum energy cost. Our evaluation indicates that our CPU scaling policy decreases energy consumption by 5% to 23% compared to Linux governors while maintaining latency requirement and significantly contributing to sustainable edge computing.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"108-124"},"PeriodicalIF":5.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anderson Augusto Simiscuka;Mohammed Amine Togou;Mikel Zorrilla;Gabriel-Miro Muntean
{"title":"360-ADAPT: An Open-RAN-Based Adaptive Scheme for Quality Enhancement of Opera 360° Content Distribution","authors":"Anderson Augusto Simiscuka;Mohammed Amine Togou;Mikel Zorrilla;Gabriel-Miro Muntean","doi":"10.1109/TGCN.2024.3418948","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3418948","url":null,"abstract":"There is increasing viewer interest and technological support for streaming immersive clips over the Internet. There are, however, challenges in supporting high quality of viewer experience, mostly due to the large amounts of the data associated with immersive video and spatial audio (Ambisonics). In situations where there are limited network resources, the streamed 360° content needs to be adjusted dynamically to meet the network constraints. Dynamic Adaptive Streaming over HTTP (DASH) adaptation is a key technology for delivering high-quality video over open radio access networks (RANs). DASH allows for efficient adaptation of video streams to the available network conditions. This paper introduces 360-ADAPT, a DASH-based adaptation solution on an Open-RAN architecture for increased quality remote 360° opera experiences. Unlike existing schemes, 360-ADAPT gives precedence to audio over the video when selecting bitrates, increasing the overall quality of the artistic act and improving use of resources and energy. The proposed 360-ADAPT was tested with real opera viewers in the context of an artistic-oriented platform for opera delivery, part of the Horizon2020 TRACTION project. Results indicate that 360-ADAPT achieves higher perceived quality levels than alternative solutions both in QoS and QoE metrics.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 3","pages":"924-938"},"PeriodicalIF":5.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10571391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Carlos Ruiz-Sicilia;Marco Di Renzo;Placido Mursia;Aryan Kaushik;Vincenzo Sciancalepore
{"title":"Spatial Multiplexing in Near-Field Line-of-Sight MIMO Communications: Paraxial and Non-Paraxial Deployments","authors":"Juan Carlos Ruiz-Sicilia;Marco Di Renzo;Placido Mursia;Aryan Kaushik;Vincenzo Sciancalepore","doi":"10.1109/TGCN.2024.3418842","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3418842","url":null,"abstract":"Sixth generation (6G) wireless networks are envisioned to include aspects of energy footprint reduction (sustainability), besides those of network capacity and connectivity, at the design stage. This paradigm change requires radically new physical layer technologies. Notably, the integration of large-aperture arrays and the transmission over high frequency bands, such as the sub-terahertz spectrum, are two promising options. In many communication scenarios of practical interest, the use of large antenna arrays in the sub-terahertz frequency range often results in short-range transmission distances that are characterized by line-of-sight channels, in which pairs of transmitters and receivers are located in the (radiating) near field of one another. These features make the traditional designs, based on the far-field approximation, for multiple-input multiple-output (MIMO) systems sub-optimal in terms of spatial multiplexing gains. To overcome these limitations, new designs for MIMO systems are required, which account for the spherical wavefront that characterizes the electromagnetic waves in the near field, in order to ensure the highest spatial multiplexing gain without increasing the power expenditure. In this paper, we introduce an analytical framework for optimizing the deployment of antenna arrays in line-of-sight channels, which can be applied to paraxial and non-paraxial network deployments. In the paraxial setting, we devise a simpler analytical framework, which, compared to those available in the literature, provides explicit information about the impact of key design parameters. In the non-paraxial setting, we introduce a novel analytical framework that allows us to identify a set of sufficient conditions to be fulfilled for achieving the highest spatial multiplexing gain. The proposed designs are validated with numerical simulations.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"338-353"},"PeriodicalIF":5.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fulai Liu;Xuefei Sun;Ruxin Liu;Hao Qin;Baozhu Shi;Ruiyan Du
{"title":"AWB-FCNN Algorithm for Mainlobe Interference Suppression","authors":"Fulai Liu;Xuefei Sun;Ruxin Liu;Hao Qin;Baozhu Shi;Ruiyan Du","doi":"10.1109/TGCN.2024.3418410","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3418410","url":null,"abstract":"As one of the promising technologies of wideband beamforming, the anti-mainlobe interference wideband beamforming (AWB) algorithm can effectively suppress mainlobe distortion and sidelobe level rise, thereby improving the output signal to interference plus noise ratio (SINR) performance. Therefore, an AWB algorithm is proposed via a feature fusion convolutional neural network (FCNN) in this paper, named as AWB-FCNN algorithm. It can improve the beamforming performance and ensure the computational efficiency. For this algorithm, an AWB algorithm firstly is used to generate the network training label. Then, an FCNN model is constructed to predict beamforming weight vectors, which consists of a feature extraction module, a feature fusion module, and a weight vector prediction module. Specially, an atrous convolution layer is introduced into the feature extraction module to extract dense features, which be achieved by enlarging the receptive field without increasing the parameters of the network. Besides, the feature fusion module is used to reduce the irrelevant features such as mainlobe interference by fusing features at different scales. Finally, the well-trained FCNN model can rapidly and precisely output beamforming weight vectors. Simulation results show that the proposed algorithm has excellent interference suppression ability and high computational efficiency.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"218-227"},"PeriodicalIF":5.3,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Differential Privacy-Aware Generative Adversarial Network-Assisted Resource Scheduling for Green Multi-Mode Power IoT","authors":"Sunxuan Zhang;Jiapeng Xue;Jiayi Liu;Zhenyu Zhou;Xiaomei Chen;Shahid Mumtaz","doi":"10.1109/TGCN.2024.3417379","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3417379","url":null,"abstract":"The low-carbon and efficient operation of smart parks requires high-precision and real-time energy management model training. Multi-mode power Internet of Things (PIoT) consisting of open radio access networks (O-RAN) and power line communications (PLC) can effectively improve the model training performance. However, the negative effects of network threats, such as model inversion attacks, cannot be neglected. To solve this problem, we propose a diFferential pRivacy-aware gEnErative aDversarial netwOrk-assisted resource scheduling algorithM (FREEDOM). Firstly, we integrate a differential privacy mechanism with the energy management model training process and the related system model. Then, a joint resource scheduling optimization problem is constructed, the goal of which is to minimize the weighted sum of the global loss function, total energy consumption, and differential privacy cost under the long-term differential privacy constraint. The original problem is converted based on virtual queue theory and addressed by the FREEDOM. FREEDOM leverages a deep Q-learning network (DQN) to learn the resource scheduling strategy via differential privacy awareness. It improves optimization and convergence performances with the assistance of generative adversarial network (GAN). Simulation results show that FREEDOM can achieve excellent performances of global loss function, total energy consumption, differential privacy cost, and privacy preservation.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 3","pages":"956-967"},"PeriodicalIF":5.3,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tinh T. Bui;Thinh Quang Do;Dang Van Huynh;Tan Do Duy;Long D. Nguyen;Tuan-Vu Cao;Vishal Sharma;Trung Q. Duong
{"title":"Task Offloading Optimization for UAV-Aided NOMA Networks With Coexistence of Near-Field and Far-Field Communications","authors":"Tinh T. Bui;Thinh Quang Do;Dang Van Huynh;Tan Do Duy;Long D. Nguyen;Tuan-Vu Cao;Vishal Sharma;Trung Q. Duong","doi":"10.1109/TGCN.2024.3417697","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3417697","url":null,"abstract":"Mobile edge computing (MEC) is widely employed to allow users to offload computation-intensive tasks due to high energy efficiency, low latency, enhanced privacy, and security. Thanks to advances in manufacturing technologies, MEC-based unmanned aerial vehicle (UAV) networks can be extensions or replacements for edge servers at ground base stations to improve the network flexibility and quality of communication. This study focuses on the non-orthogonal multiple access (NOMA) scheme, emphasizing the coexistence of near-field and far-field regions, particularly in the context of multiple UAVs integrated with edge servers. We address the challenge of the latency minimization problem by efficiently optimizing both communications and computing variables such as user association, capacity allocation, and transmit power. The designed optimization problem is a mixed integer programming problem that has extremely high complexity. To solve this problem, we propose an iterative algorithm that is designed by using block coordinate descent, convex transformation, and relaxation. Through extensive simulations, our proposed solution demonstrates effectiveness in minimizing total task offloading latency across various scenarios. The findings not only contribute a practical convex optimization method to reduce the latency in MEC systems using UAV-aided NOMA networks but also enable the operations of modern applications such as augmented reality and virtual reality on handheld user devices.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"327-337"},"PeriodicalIF":5.3,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xin Wang;Jianhui Lv;Adam Slowik;Byung-Gyu Kim;B. D. Parameshachari;Keqin Li
{"title":"Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output","authors":"Xin Wang;Jianhui Lv;Adam Slowik;Byung-Gyu Kim;B. D. Parameshachari;Keqin Li","doi":"10.1109/TGCN.2024.3416904","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3416904","url":null,"abstract":"The ultra-massive multiple-input-multiple-output (UM-MIMO) is envisioned to be an integral part of future sixth-generation (6G) communication networks to meet the ever-increasing demand for higher data rates. However, the excessive energy consumption of UM-MIMO’s massive radio frequency chains and performance degradation due to beam misalignment pose critical challenges. This paper investigates low-complexity beamforming optimizations with UM-MIMO for green near-field (NF) wireless communications. We first propose an adjustable orientation discontinuous reception (A-ODRX) mechanism merging the beam alignment state into long DRX cycles to reduce power consumption while preserving beamforming capabilities enabled by UM-MIMO’s large aperture. The A-ODRX mechanism demonstrates provable robustness against beam misalignments through theoretical derivations. We designed a phase extraction zero-forcing (PE-ZF) aided hybrid beamforming architecture tailored for NF channels’ spherical waveform effects to further overcome hardware constraints. Simulation results demonstrate that the proposed low-complexity beamforming design for the green NF wireless communication method outperforms benchmarks in terms of energy efficiency, achievable sum rate, rate scaling with users, resilience to NF mobility, and beamforming gain.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"317-326"},"PeriodicalIF":5.3,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ming Ye;Xiao Liang;Cunhua Pan;Yinfei Xu;Ming Jiang;Chunguo Li
{"title":"GAN-Based Near-Field Channel Estimation for Extremely Large-Scale MIMO Systems","authors":"Ming Ye;Xiao Liang;Cunhua Pan;Yinfei Xu;Ming Jiang;Chunguo Li","doi":"10.1109/TGCN.2024.3416617","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3416617","url":null,"abstract":"Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technique to achieve ultra-high spectral efficiency for future 6G communications. The mixed line-of-sight (LoS) and non-line-of-sight (NLoS) XL-MIMO near-field channel model is adopted to describe the XL-MIMO near-field channel accurately. In this paper, a generative adversarial network (GAN) variant based channel estimation method is proposed for XL-MIMO systems. Specifically, the GAN variant is developed to simultaneously estimate the LoS and NLoS path components of the XL-MIMO channel. The initially estimated channels instead of the received signals are input into the GAN variant as the conditional input to generate the XL-MIMO channels more efficiently. The GAN variant not only learns the mapping from the initially estimated channels to the XL-MIMO channels but also learns an adversarial loss. Moreover, we combine the adversarial loss with a conventional loss function to ensure the correct direction of training the generator. To further enhance the estimation performance, we investigate the impact of the hyper-parameter of the loss function on the performance of our method. Simulation results show that the proposed method outperforms the existing channel estimation approaches in the adopted channel model. In addition, the proposed method surpasses the Cram<inline-formula> <tex-math>$acute {mathrm {e}}$ </tex-math></inline-formula>r-Rao lower bound (CRLB) under low pilot overhead.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"304-316"},"PeriodicalIF":5.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suleman Khan;Gurjot Singh Gaba;Andrei Gurtov;Leonardus J. A. Jansen;Nils Mäurer;Corinna Schmitt
{"title":"Post-Quantum Secure Handover Mechanism for Next-Generation Aviation Communication Networks","authors":"Suleman Khan;Gurjot Singh Gaba;Andrei Gurtov;Leonardus J. A. Jansen;Nils Mäurer;Corinna Schmitt","doi":"10.1109/TGCN.2024.3417298","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3417298","url":null,"abstract":"The L-band Digital Aeronautical Communications System (LDACS) is a key advancement for next-generation aviation networks, enhancing Communication, Navigation, and Surveillance (CNS) capabilities. It operates with VHF Datalink mode 2 (VDLm2) and features a seamless handover mechanism to maintain uninterrupted communication between aircraft and ground stations (GSs), improving safety and efficiency in air traffic management (ATM). However, LDACS’ handover process encounters significant security risks due to inadequate authentication and key agreement between aircraft and ground station controllers (GSCs) during handovers. This vulnerability threatens communications’ confidentiality, integrity, and authenticity, posing risks to flight safety and sensitive data. Therefore, developing and implementing a robust security framework to protect aviation communications is essential. In response, we have proposed a security solution specifically designed to protect LDACS handovers. Our solution uses a mutual authentication and key agreement mechanism tailored for LDACS handovers, ensuring robust security for all types of handovers, including Intra GSC - Intra Aeronautical Telecommunication Network (ATN), Inter GSC - Intra ATN, and Inter GSC - Inter ATN. Our approach utilizes post-quantum cryptography to protect aviation communication systems against potential post-quantum threats, such as unauthorized access to flight data, interception of communication, and spoofing of aircraft identity. Furthermore, our proposed solution has undergone a thorough informal security analysis to ensure its effectiveness in addressing handover challenges and offering robust protection against various threats. It seamlessly integrates with the LDACS framework, delivering low Bit Error Rate (BER) and latency levels, making it a highly reliable approach in practice.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 3","pages":"939-955"},"PeriodicalIF":5.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent Reflecting Surface Assisted Integrated Data and Energy Multicast System in Terahertz-Bands","authors":"Qingxiao Huang;Jie Hu;Kun Yang","doi":"10.1109/TGCN.2024.3415030","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3415030","url":null,"abstract":"An intelligent reflect surface (IRS) assisted multi-user integrated data and energy multicast (IDEM) system is investigated. Considering terahertz (THz) downlinks, the spatial asymptotical orthogonality is proved. Our goal is to maximize the minimum achievable rate of data users (DUs) and satisfy the energy harvesting requirements of energy users (EUs) by jointly designing the multicast beam at the transmitter and the reflecting beam at the IRS. Firstly, the solutions obtained by the semidefinite relaxation (SDR) are analysed. Based on the orthogonality, a low-complexity beamforming scheme is proposed. Specifically, the asymptotically optimal analog beamforming structures of IRS and transmitter are proved, respectively. The transmit power is allocated at the transmitter to satisfy the EUs and the asymptotically optimal beamforming structure of the IRS is used to compensate the path-loss of DUs. Then the transmitter and IRS beamformings are obtained in closed form. Finally, a randomization scheme for IRS beamforming is proposed to further improve the IDET performance. The numerical results shows that, the trade-off between wireless data transfer (WDT) and wireless energy transfer (WET) is well achieved. Moreover, the proposed scheme achieves nearly the same spectral efficiency as fully digital transmitter and higher spectral efficiency than the IRS solutions obtained by SDR.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"152-163"},"PeriodicalIF":5.3,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}