Article
Computer Science, Hardware & Architecture
Chao Wang, Peiying Zhang, Neeraj Kumar, Lei Liu, Tingting Yang
Summary: This article discusses the importance of global wireless signal coverage during the transition from 5G to 6G, and proposes an integrated network architecture based on 6G technology to achieve seamless global coverage. It also analyzes the challenges and difficulties that may be encountered during the implementation process.
Article
Green & Sustainable Science & Technology
Muhammad Zeeshan Asghar, Shafique Ahmed Memon, Jyri Hamalainen
Summary: This article discusses the transition between 5G and 6G technologies, exploring the major obstacles and challenges that may be faced in achieving higher ideals.
Article
Computer Science, Information Systems
Edward J. Oughton, William Lehr
Summary: Techno-economic assessment is crucial for evaluating new communication technologies, but there is still limited comprehensive evaluation of the fifth cellular generation (5G). It is important to review current achievements in 5G technologies to guide ongoing 6G research and support engineers in providing global high-capacity, low-latency broadband connectivity.
Article
Computer Science, Information Systems
Nikolaos Nomikos, Spyros Zoupanos, Themistoklis Charalambous, Ioannis Krikidis
Summary: This survey investigates reinforcement learning-aided mobile edge caching solutions and classifies them based on networking architecture and optimization targets. The study finds that these solutions can outperform traditional policy-based methods in high-heterogeneity network scenarios.
Article
Engineering, Electrical & Electronic
George C. Alexandropoulos, Ali Mokh, Ramin Khayatzadeh, Julien de Rosny, Mohamed Kamoun, Abdelwaheb Ourir, Arnaud Tourin, Mathias Fink, Merouane Debbah
Summary: This article discusses the possibility of achieving high-resolution spatiotemporal focusing in 6G wireless communications using the time-reversal (TR) technique. By analyzing experimental setups and results, the effectiveness of TR in different frequency bands is demonstrated, and its potential for low-complexity multiuser communications is showcased. The opportunities and challenges of incorporating TR-based wireless communications into 6G networks, in conjunction with other candidate technologies, are also emphasized.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2022)
Article
Computer Science, Information Systems
Xiangming Zhu, Chunxiao Jiang
Summary: This article presents a comprehensive survey of the state-of-the-art integrated satellite-terrestrial networks towards 6G, including classification and summary of the integration architecture, discussion of typical applications, identification of challenges, and exploration of promising future techniques. The importance of a detailed survey of potential integration architectures for flexible network design and construction in future 6G networks is emphasized.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Mozaffari, Xingqin Lin, Stephen Hayes
Summary: This article provides an overview of the key barriers and design considerations for the widespread commercial use of flying UAVs, along with potential solutions. It discusses how cellular networks can support UAVs by utilizing advanced features, network intelligence, key enabling technologies for beyond 5G and 6G, and new tools from machine learning towards limitless connectivity in 6G.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Fengxian Guo, F. Richard Yu, Heli Zhang, Xi Li, Hong Ji, Victor C. M. Leung
Summary: The article provides a comprehensive survey on 6G-enabled massive IoT, covering the drivers and requirements, visions of 6G, new network architecture, and breakthrough technologies.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Meilong Jiang, Juergen Cezanne, Ashwin Sampath, Ori Shental, Qiang Wu, Ozge Koymen, Ahmed Bedewy, Junyi Li
Summary: Wireless networks using millimeter-wave and higher band radio enable higher capacity, lower latency, and massive connections. Wireless fronthaul, as an alternative to fiber-based fronthaul, offers flexibility, scalability, and cost advantages. However, it also poses challenges in reliably delivering required performance indicators.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Theodore Sizer, Dragan Samardzija, Harish Viswanathan, Son Thai Le, Sarvesh Bidkar, Pascal Dom, Ed Harstead, Thomas Pfeiffer
Summary: The promise of future generations of mobile communication, both 5.5 and 6G, is to increase the capacity and coverage of wireless communication networks and achieve higher performance levels between mobile devices and applications on cloud servers. To meet these requirements, future networks need to further increase capacity and coverage through the use of small cells or new radio spectral bands, while also facing pressure on deployment and costs. Therefore, solutions that address all aspects of the network, from mobile access points to edge cloud, need to be considered together.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Sumit Gautam, Sourabh Solanki, Shree Krishna Sharma, Symeon Chatzinotas, Bjorn Ottersten
Summary: This paper proposes a novel two-hop hybrid active-and-passive relaying scheme for simultaneous wireless information and power transfer (SWIPT) with dynamic modelling of dual-hop time-period metric. An optimization problem is formulated to jointly optimize the throughput, harvested energy, and transmit power, and two distinct methods are provided to obtain suitable solutions. Experimental results show the superior performance of the proposed hybrid scheme over passive repeater-only and active relay-only schemes.
Article
Computer Science, Information Systems
Yongjun Xu, Guan Gui, Haris Gacanin, Fumiyuki Adachi
Summary: This article provides a comprehensive survey on RA in HetNets for 5G communications, covering definitions, scenarios, models, current algorithms, challenges, and future trends. It also proposes two potential structures for solving the RA problems in next-generation HetNets.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Computer Science, Hardware & Architecture
Bilgehan Erman, Catello Di Martino
Summary: This article discusses the vision of the 6G era and the concept of digital twin. Challenges remain in designing, delivering, and maintaining private wireless networks for autonomous industrial settings, including immediate detection of performance problems and use-case-dependent SLA compliance prediction. The article presents a solution that utilizes deep neural network models and generative adversarial network methods for continuous testing and SLA management of networks.
Article
Computer Science, Information Systems
Abdul Kadi Hamid, Fahd N. Al-Wesabi, Nadhem Nemri, Ammar Zahary, Imran Khan
Summary: This paper proposes a graph coloring based algorithm to solve the co-channel interference problem in D2D communication. The algorithm reduces interference by using weighted priority and resource reuse, and provides simplified power control. Simulation results show that the proposed algorithm effectively improves system performance.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
Matheus Seda Borsato Cunha, Eduardo Saia Lima, Nicola Andriolli, Danilo Henrique Spadoti, Giampiero Contestabile, Arismar S. Cerqueira Jr
Summary: This study implemented a non-standalone 5G NR multiband fiber-wireless system using an integrated multi-wavelength transmitter with direct modulation, successfully transporting three 4G/5G RF signals and demonstrating wireless transmissions indoors and outdoors.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Md Morshed Alam, Yeong Min Jang
Summary: This paper proposes a deep learning-based integrated framework for multiple cooperative households to achieve optimal energy distribution. The energy generation and consumption problems are formulated using a long short-term memory algorithm combined with an optimization algorithm to produce an optimal solution. The proposed system, which considers a PV-community energy storage system (CESS), achieves superior performance on effective renewable energy usages of maximum 31.74% in a home environment.
Article
Telecommunications
Md. Habibur Rahman, Mostafa Zaman Chowdhury, Ida Bagus Krishna Yoga Utama, Yeong Min Jang
Summary: In this paper, a deep residual convolutional blind denoising network (ResCBDNet) is proposed to predict more realistic channels in indoor m-MIMO VLC communication system. The ResCBDNet exploits noise level estimation subnetwork to improve the generalization ability to real noise and interactively reduce the noise in the channel matrix. Simulation results validate the advantage of the proposed network in practical channel estimation.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Chemistry, Analytical
Syed Samiul Alam, Arbil Chakma, Md Habibur Rahman, Raihan Bin Mofidul, Md Morshed Alam, Ida Bagus Krishna Yoga Utama, Yeong Min Jang
Summary: The security and privacy risks posed by UAVs have become a significant concern. An end-to-end deep-learning-based model is proposed to detect and identify UAVs based on their RF signature. The model outperforms existing work in terms of performance and time complexity, making it suitable for real-time UAV detection and identification in surveillance systems.
Article
Chemistry, Analytical
Radityo Fajar Pamungkas, Ida Bagus Krishna Yoga Utama, Yeong Min Jang
Summary: Photovoltaic (PV) systems have great potential for clean energy generation and their adoption has grown significantly in recent years. Faults in PV systems can lead to safety risks, reduced lifespan, and waste. This paper highlights the importance of accurately classifying faults in PV systems to maintain optimal efficiency and increase financial return. The proposed lightweight coupled UdenseNet model shows significant improvements in fault classification accuracy and efficiency compared to previous studies, and image augmentation techniques further enhance performance on unbalanced datasets.
Article
Chemistry, Analytical
Muhammad Hasanujjaman, Mostafa Zaman Chowdhury, Yeong Min Jang
Summary: To ensure the reliability and safety of autonomous systems like self-driving cars, a combination of efficient 4D detection, precise localization, and AI networking is needed to establish a fully automated smart transportation system. Current autonomous transportation systems use integrated sensors such as LiDAR, RADAR, and cameras for object detection and localization, along with GPS for vehicle positioning. However, the efficiency of these individual systems is insufficient. This paper proposes a convolutional neural networking approach and an AI network for monitoring and data transmission, which remains effective even in areas where GPS doesn't work properly.
Article
Chemistry, Analytical
Ones Sanjerico Sitanggang, Van Linh Nguyen, Huy Nguyen, Radityo Fajar Pamungkas, Muhammad Miftah Faridh, Yeong Min Jang
Summary: Optical camera communication (OCC) is a promising wireless technology system that has advantages over radio frequency, such as unlimited spectrum, no congestion, and low operating costs. The main challenge of OCC is identifying, detecting, and extracting data in complex and highly mobile areas. In this paper, a real-time OCC system based on YOLOv8 is designed and implemented to address this challenge. The system achieves a high bit error rate and accurate LED detection algorithm, with processing speeds up to 1.25 ms.
Article
Chemistry, Analytical
Ida Bagus Krishna Yoga Utama, Radityo Fajar Pamungkas, Muhammad Miftah Faridh, Yeong Min Jang
Summary: Due to the rapid growth of the PV plant industry, there is a need for monitoring multiple PV plants on a single platform. This study proposes a method using an IoT platform for monitoring multiple PV plants, with next-day power generation prediction and real-time anomaly detection. The results show that the IoT platform successfully monitors multiple PV plants, with the best performance achieved by the BiLSTM model for power generation prediction and the adaptive threshold isolation forest for sensor anomaly detection.
Article
Energy & Fuels
Md. Morshed Alam, Raihan Bin Mofidul, Yeong Min Jang
Summary: This paper proposes a novel approach to assess the practical benefits of CESS deployment by decreasing the daily electricity cost and maximizing the self-consumption of PV energy. A deep-learning-based forecasting model and a hybrid optimization technique are implemented to find the optimal solution involving PV-CESS energy utilization.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Information Systems
Md. Saiam, Mostafa Zaman Chowdhury, Syed Rakib Hasan, Yeong Min Jang
Summary: This article discusses backscatter communication and reconfigurable intelligent surface technology in sixth-generation networks, and presents research directions and security aspects of RIS-assisted backscatter communication. The findings demonstrate significant enhancements in channel gain, data transmission rate, and energy efficiency when deploying RIS-assisted backscatter communication.
Article
Computer Science, Information Systems
Md. Mainul Islam, Md. Kamrul Islam, Md. Shahjalal, Mostafa Zaman Chowdhury, Yeong Min Jang
Summary: Existing interbank payment systems face challenges in providing cost-effective cross-border transactions due to involvement of intermediaries across time zones. This article proposes a low-cost, auditable cryptocurrency-based payment system to address these issues. The system utilizes a permissioned blockchain and a consortium network to enable seamless cross-border transactions. The use of dynamic decentralized identifiers ensures self-manageable authentication on-chain without relying on trusted third parties, protecting user privacy and ensuring transparency. The system also provides multi-party computation and multi-signature protocols for user convenience.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Syed Rakib Hasan, Mostafa Zaman Chowdhury, Md. Saiam, Yeong Min Jang
Summary: The upcoming 5G and beyond communications bring forth numerous emerging technological systems. Researchers have started exploring visible spectrum as an alternative to radio frequency (RF) spectrum due to the difficulty in meeting the increasing data rate demand. Visible light communication (VLC) system, mainly used indoors, provides higher channel capacity than RF communication. However, its signal strength and data rate suffer when users are far from the light source. Reconfigurable intelligent surface (RIS) is a new technology that enhances signal strength, network security, and provides seamless connectivity in remote areas. Combining RIS with VLC improves the overall performance significantly.
2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC
(2023)
Review
Computer Science, Information Systems
Syed Rakib Hasan, Mostafa Zaman Chowdhury, Md. Saiam, Yeong Min Jang
Summary: The growth of modern technological sectors has reached an impressive level, spreading the benefits of technology to every corner of the world, even remote areas. Technological development is currently based on the theoretical foundation of classical physics in various scientific fields such as wireless communication, visible light communication, machine learning, and computing. Quantum technology has surpassed the limits of existing technologies and offers improved performance, security, and reliability in communication systems. This review article provides an overview of the fundamentals, design goals, information processing, and protocols in quantum communication, as well as potential applications and challenges in implementing quantum technology in existing systems.
