Article
Engineering, Electrical & Electronic
Zhenghao Zhang, Raghav Rathi
Summary: In this paper, novel access methods called ABF PRACH and ABF SR are proposed based on the Analog Bloom Filter. ABF PRACH improves performance by transmitting a pattern consisting of multiple ZC sequences, while ABF SR increases system capacity by assigning a unique pattern to each connected UE.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
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
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
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
Automation & Control Systems
Xiangyang Luo, Pei Zhang, Mingliang Zhang, Hao Li, Qingfeng Cheng
Summary: In this article, a covert communication method based on Bitcoin transactions is proposed, which improves the security and embedding efficiency by designing transaction address index matrix and address interaction relationship.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Vyacheslav Begishev, Eduard Sopin, Dmitri Moltchanov, Rustam Pirmagomedov, Andrey Samuylov, Sergey Andreev, Yevgeni Koucheryavy, Konstantin Samouylov
Summary: This study develops a mathematical framework using stochastic geometry and queuing theory, utilizing 3GPP cluster-based propagation modeling to capture session-level service dynamics of user equipment that supports multi-band operation. The results show that serving mmWave sessions with microwave BSs is feasible in light traffic conditions, but there are challenges to be aware of.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Massimiliano Maule, John Vardakas, Christos Verikoukis
Summary: Network slicing is a key technology in 5G systems that ensures service quality and optimizes resource utilization. Before commercial availability, different sections of the 5G architecture need to be modified to support network slicing. By monitoring the key performance indicators of each slice tenant, optimal service level agreements can be guaranteed.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Hardware & Architecture
Giuseppe Araniti, Antonio Lera, Sara Piui, Federica Rinaldi
Summary: Sixth-Generation (6G) technologies will revolutionize the wireless ecosystem by enabling the delivery of futuristic services through terrestrial and non-terrestrial transmissions. Non-Terrestrial Networks (NTNs) are growing in importance due to their capability to provide services anywhere, and 3GPP is investigating solutions to extend New Radio (NR) to NTNs. The article investigates constraints NTN features place on NR procedures and identifies strengths and weaknesses of NR technology in enabling typical 6G services on NR-enabled NTNs.
Article
Engineering, Electrical & Electronic
Mikko A. Uusitalo, Harish Viswanathan, Heli Kokkoniemi-Tarkkanen, Artjom Grudnitsky, Martti Moisio, Teemu Harkonen, Pekka Yli-Paunu, Seppo Horsmanheimo, Dragan Samardzija
Summary: 5G technology has significant potential for enabling port automation, improving flexibility, predictability, and safety in ports. By providing ultra-reliable, low-latency, and high-capacity capabilities, 5G communication networks serve as a connectivity solution for advanced technologies required for port automation. Extensive multi-cell simulations and prototype testing demonstrate the capabilities of 5G for ports.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Hardware & Architecture
Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang
Summary: This article explores the development of energy-efficient federated learning over 5G+ mobile devices by balancing energy consumption for local computing and wireless communications to enhance overall energy efficiency.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Aly S. S. Abdalla, Pratheek S. S. Upadhyaya, Vijay K. K. Shah, Vuk Marojevic
Summary: This article discusses the key features and limitations of the open radio access network (O-RAN) as a framework for 6G wireless research and development, and explores the technologies to overcome these limitations.
Article
Computer Science, Hardware & Architecture
Van-Linh Nguyen, Ren-Hung Hwang, Po-Ching Lin, Abhishek Vyas, Van-Tao Nguyen
Summary: This article provides a detailed overview of the latest developments in vehicular networks, with a particular focus on cellular V2X technologies and their applications compared to the current generation. Through typical examples, it highlights the shortcomings of 5G in providing optimal connectivity for vehicular applications and the potential of 6G technologies.
Article
Computer Science, Hardware & Architecture
Ruiqi Liu, Qingqing Wu, Marco Di Renzo, Yifei Yuan
Summary: With the completion of standardization and commercialization of 5G networks, attention has turned to new technologies that can support the next generation. Reconfigurable intelligent surfaces (RIS) have emerged as a potential component of future wireless networks, providing a cost-effective way to reconfigure the propagation environment. RISs not only attract research efforts but also trigger collaborative projects and discussions on standardization. This article aims to shed light on the challenges and standardization efforts needed for RIS commercialization.
IEEE WIRELESS COMMUNICATIONS
(2022)
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
Computer Science, Information Systems
Yang Liu, Leiqing Ni, Mugen Peng
Summary: This study proposes an access authentication protocol with user anonymity and traceability in order to reduce communication delay and signaling cost in satellite-terrestrial networks, improving the user's network experience. Additionally, a hierarchical group key distribution scheme is proposed to enable cross-domain handover authentication between different user groups, effectively avoiding the need for reauthentication.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Negin Sadat Saatchi, Hong-Chuan Yang, Ying-Chang Liang
Summary: In this letter, a method is proposed to jointly design the available reliability and latency mechanisms in 5G NR, aiming to maximize the probability of successful data delivery subject to a strict latency constraint. The method optimally selects numerology, mini-slot size, and modulation and coding scheme for each transmission/retransmission attempt based on channel quality and remaining latency budget. By applying model-based reinforcement learning technique, the optimal policy for this sequential decision-making problem is obtained and a finite-step MDP problem is formulated and solved. Through selected numerical examples, considerable performance gain over conventional scheme is achieved by the proposed joint design.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Nan Li, Qi Sun, Xiang Li, Fengxian Guo, Yuhong Huang, Ziqi Chen, Yiwei Yan, Mugen Peng
Summary: In order to accommodate the diversified use cases in 5G, the radio access networks (RAN) need to be more flexible, open, and versatile. By embedding computing capabilities within RAN, it transforms into a cost-effective radio edge computing platform, enhancing RAN agility for various services and improving users' quality of experience (QoE).
CHINA COMMUNICATIONS
(2023)
Article
Telecommunications
Siming Wang, Mugen Peng, Renzhi Yuan
Summary: This paper investigates the problem of turbulence interference in free-space optical communication with photon-counting receivers and proposes the use of spatial diversity techniques to mitigate its impact. The study shows that under non-turbulent conditions, maximum likelihood detection is equivalent to threshold detection, which can effectively reduce errors.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Xueyan Cao, Xiaoling Hu, Mugen Peng
Summary: This paper focuses on the application of intelligent reflecting surfaces (IRS) aided integrated sensing and communication (ISAC) in mmWave systems. A feedback-based joint active and passive beam training scheme is proposed to enhance both sensing and communication performances without high-overhead cascaded channel estimation. Simulation results demonstrate the advantages of the proposed scheme over conventional beamforming schemes in terms of both sensing and communication performances. It is also shown that limiting the communication signal-to-noise ratio effectively mitigates the destructive echo interference from the communication user, achieving better sensing performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Tian Dang, Chenxi Liu, Mugen Peng
Summary: In this paper, we propose an approach utilizing UAV-enabled wireless networks to achieve low-latency mobile virtual reality content delivery. We formulate an average latency minimization problem considering the limited energy storage at UAVs, and solve it by transforming it into a weighted-latency-plus-energy minimization problem. We propose an iterative algorithm to solve the transformed problem by decomposing it into three subproblems.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Binghong Liu, Chenxi Liu, Mugen Peng
Summary: This paper proposes a novel cloud-edge framework to facilitate mobile edge computing (MEC) in UAV networks. The edge UAVs, together with the cloud, provide caching and computing services for terrestrial users. The proposed algorithm of sequential convex programming (SCP) and sequential quadratic programming (SQP) based deep Q-learning (SS-DQN) improves system performance significantly compared to two benchmark schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Gang Yang, Zhiyi Luo, Ning Jin, Ying-Chang Liang, Yongjun Xu, Gongpu Wang
Summary: Ambient backscatter communication (AmBC) is a promising technology for Internet-of-Things with power-and-cost constraints. In this paper, a non-coherent parallel detection algorithm is proposed to recover symbols of multiple tags in an AmBC system without requiring channel state information. The algorithm achieves better bit-error-rate performance compared to existing schemes, verified by simulation results.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Xiaolei Qi, Mugen Peng, Hongming Zhang
Summary: This paper proposes a method that combines computation offloading and mmWave massive MIMO-NOMA communication to achieve energy-efficient performance for IoT devices in MEC network. It introduces an IoT device clustering algorithm to schedule devices into limited beams, and then optimizes the energy consumption by joint optimization of hybrid beamforming, offloading task assignment ratio, and power allocation. Simulation results validate the convergence of the proposed algorithms and the superiority of the proposed schemes leveraging the massive MIMO-NOMA technique during computational offloading.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Xiaoling Hu, Chenxi Liu, Mugen Peng, Caijun Zhong
Summary: In this paper, an integrated sensing and communication (ISAC) system based on distributed semi-passive intelligent reflecting surface (IRS) is proposed, which enables simultaneous location sensing and data transmission on the same time-frequency resources. The working process, including transmission protocol, location sensing, and beamforming optimization, is designed. Simulation results demonstrate that the proposed system can achieve millimeter-level positioning accuracy and the beamforming schemes based on sensed location information perform similarly to the benchmark schemes assuming perfect channel state information.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Xian Zhang, Mugen Peng, Chenxi Liu
Summary: The performance of UAV-enabled networks is limited by inter-cell interference and backhaul connectivity. In this study, we analyze the performance of UAV-enabled heterogeneous networks using antenna downtilt and tethered UAV-mounted BS to mitigate interference and provide backhaul connectivity. The user association probability and distance distributions are derived, along with the coverage probability and ergodic rate of the networks. The results validate the effectiveness of antenna downtilt and TUAV-enabled backhaul connectivity, and demonstrate the impact of deployment altitude and network area size on performance.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Jun Wang, Ying-Chang Liang, Yiyang Pei, Xuemin Shen
Summary: This paper proposes a novel reconfigurable intelligent surface (RIS)-based small cell network (SCN) to address the power consumption and two-tier interference issues. By utilizing RIS as a small cell base station, it serves multiple micro users and assists macro user's transmission, achieving significant power reduction and minimizing interference to the macro user.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Telecommunications
Xueyan Cao, Xiaoling Hu, Mugen Peng
Summary: In this paper, an intelligent reflecting surface (IRS) aided maritime cooperative communication system is studied, where multiple relay ships with both active relay and passive IRS assist the downlink transmission from the base station (BS) to the destination ship. The joint optimization problem of mode selection, power control, and beamforming is formulated and solved to minimize the total transmit power, subject to the quality of service constraint. Two algorithms based on exhaustive searching and many-to-one matching are proposed for the mode selection and power control sub-problem, while a semidefinite programming-based algorithm is proposed for the beamforming sub-problem. The numerical results confirm the good performance of the proposed algorithms and the power saving advantage of the proposed IRS-aided system.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Jie Chen, Xianbin Wang, Ying-Chang Liang
Summary: In conventional dual-function radar-communication (DFRC) systems, routine estimations of radar and communication channels lead to significant training overhead and degraded system performance. This paper utilizes channel aging characteristics to reduce training overhead and proposes a situation-dependent channel re-estimation interval optimization-based resource allocation for a multi-target tracking DFRC system. The proposed scheme exploits channel temporal correlation to predict radar and communication channels, reducing the need for training preamble retransmission and optimizing factors to maximize achievable rate. Simulation results validate the effectiveness of the proposed allocation scheme.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Zhifeng Wang, Xiqing Liu, Yiran Yang, Mugen Peng
Summary: A complementary coded identical code cyclic shift multiple access (CC-ICCSMA) system is proposed in this article, which allows multiple data streams to transmit in parallel by sharing one spreading code. It can achieve higher bandwidth efficiency compared to traditional CC-CDMA and outperform traditional DS-CDMA schemes in terms of bit-error rates and transmission rates.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
