Article
Engineering, Electrical & Electronic
Ziqi Chen, David Smith
Summary: The study focuses on minimizing delay in millimeter-wave communications, proposing a Minimum-Delay relaying scheme and validating its performance through simulations in urban scenarios. The results show that the proposed scheme achieves significantly lower average end-to-end delay compared to direct association or max-SINR relaying, with greater performance improvement under high traffic loads.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Li Liao, Chengjun Ji
Summary: Machine-to-machine (M2M) communication does not require human intervention and low-energy consumption is crucial for device longevity. This paper presents a multiobjective problem for joint spectrum and power resource management using a weighted Chebyshev algorithm. Additionally, an intercell cooperative link selection algorithm is utilized to optimize the resilience of M2M communication, with simulation results confirming its effectiveness.
JOURNAL OF SENSORS
(2021)
Article
Computer Science, Information Systems
Sohan Gyawali, Shengjie Xu, Yi Qian, Rose Qingyang Hu
Summary: This article surveys the existing work and challenges on LTE and 5G to support efficient V2X communications, covering motivations for cellular based V2X communications, LTE V2X architecture and scenarios, challenges in LTE for V2X communications and solutions, challenges and solutions for 5G vehicular communications, as well as open research issues and possible research directions in cellular based vehicular communications.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Automation & Control Systems
Yi-Han Xu, Qi-Ming Sun, Xiao-Ren Xu, Wen Zhou, Gang Yu
Summary: This paper investigates the tradeoff between energy efficiency and delay determinacy in energy harvesting-powered Zero-Touch Deterministic Industrial Machine-to-Machine (ZT-DI-M2M) communications. It first derives the probability of transmission delay within a certain time window to characterize delay determinacy and considers system control performance to determine the relationship between delay determinacy and energy efficiency. The problem is then formulated as a stochastic game to model the uncertainty of the stochastic environment, and a random graph-based sparse Long Short-Term Memory (LSTM) network is proposed to solve the optimization problem. Numerical results show that the proposed algorithm achieves higher energy efficiency with specific delay determinacy compared to other algorithms.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Manal A. Areqi, Ammar T. Zahary, Mansoor N. Ali
Summary: With the growth of IoT services and data on the network, the significance of D2D communications has become prominent in network offloading, reducing data access time, and enhancing performance. This article provides a comprehensive review of the latest D2D communication solutions, categorizing them into six categories: M2M, V2V, D2D in cellular networks, D2D with a caching assistant, D2D in socially aware networks, and D2D based on ICN. The authors examine the proposed solutions in each category, discussing the methodology, evaluation, benefits, and drawbacks of each proposal. Based on the study, cellular networks and ICN are deemed the most effective for D2D communications, especially when incorporating awareness and social relationships. The review presented in this paper is believed to serve as a valuable reference guide for developers and researchers in facilitating the design and implementation of D2D communication solutions.
Article
Chemistry, Analytical
Stefano Tomasin, Marco Centenaro, Gonzalo Seco-Granados, Stefan Roth, Aydin Sezgin
Summary: This paper discusses the impact and potential threats of 5G networks on user location privacy, proposes a comprehensive solution to protect location privacy, and emphasizes the control and supervision of localization services by users.
Article
Computer Science, Information Systems
Zaloa Fernandez, Angel Martin, Josu Perez, Mikel Garcia, Gorka Velez, Federico Murciano, Sebastian Peters
Summary: This paper proposes a set of solutions to mitigate the impact of mobility on network connectivity in vehicular applications. The proposed solutions include a dual modem solution, an adaptive bitrate mechanism, a WebRTC server, and a MEC discovery and handover method. The evaluation results indicate that 5G networks have not yet achieved the required performance for CCAM, and practitioners need to implement solutions and workarounds to mitigate the issues.
Article
Computer Science, Hardware & Architecture
Yannan Li, Yong Yu, Willy Susilo, Zhiyong Hong, Mohsen Guizani
Summary: 5G and beyond (B5G) networks are leading a digital revolution in both academia and industry, but still face challenges in terms of security and privacy. Blockchain, as a public database, with its advantages of decentralization, transparency, etc., is promising in solving security issues. This article investigates security and privacy issues in edge intelligence in B5G networks and proposes a framework integrating blockchain to provide guaranteed security and privacy.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Xiao-Ren Xu, Yi-Han Xu, Wen Zhou, Arumugam Nallanathan
Summary: This study investigates the resource allocation problem in Energy Harvesting-supported Cognitive Industrial Machine-to-Machine (EH-CI-M2M) network with the use of Unmanned Aerial Vehicles (UAVs) communication. The objective is to maximize the average energy efficiency by considering EH time slot assignment, transmit power control, and bandwidth allocation, while considering Quality of Service (QoS) and available energy status. The problem is approached through non-linear fractional programming and variable relaxation, and an iterative algorithm is proposed for optimization. Extensive simulation results demonstrate the superiority of the proposed scheme in terms of energy efficiency.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Anand Singh Rajawat, S. B. Goyal, Chetan Chauhan, Pradeep Bedi, Mukesh Prasad, Tony Jan
Summary: Agile product development cycles and re-configurable IIoT enable more flexible and resilient industrial production systems. Reinforcement Learning (RL) supports adaptive cognitive systems with IIoT in manufacturing. CAS-IIoT-RL improves decision controls in challenging industrial environments.
Article
Chemistry, Analytical
C. Rajesh Babu, Amutha Balakrishnan, Kadiyala Ramana, Saurabh Singh, In-Ho Ra
Summary: This paper discusses the issue of spectrum allocation and the role of cognitive radio technology in addressing the efficiency of spectrum utilization and demand matching. Based on global spectrum allocation, CR technology utilizes static and dynamic spectrum allocation to meet the needs of secondary users and allocate unused spectrum to them when PUs are not using it. The paper also identifies some existing research gaps and presents the results of behavioral analysis studies and real-time surveys conducted in India.
Article
Computer Science, Information Systems
Rabia Ahmed, Farooque Hassan Kumbhar
Summary: This research introduces a novel and efficient clustering scheme VC3 for addressing the challenges of high mobility networks in 5G communications. Simulation experiments conducted in SUMO and NS3 show that VC3 has higher success probability and throughput compared to existing solutions.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Multidisciplinary Sciences
Ali R. Abdellah, Abdullah Alshahrani, Ammar Muthanna, Andrey Koucheryavy
Summary: 5G networks have emerged as a new technology to control the advancement of telecommunication networks and transportation systems, providing better performance. Machine learning techniques can leverage IoT applications as a significant data source in the future, while deep learning proves to be advanced in challenging wireless network tasks such as management and anomaly detection.
Article
Computer Science, Information Systems
Aygun Baltaci, Kaushik Chavali, Mike Kosek, Nitinder Mohan, Dominic A. Schupke, Jorg Ott
Summary: This study investigates the performance of cellular and Low-Earth-Orbit (LEO) satellite links for multipath communications. The results show that flow size and link losses significantly affect path utilization, while using MP-DCCP without retransmissions can meet the demand for highly reliable communication.
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, Information Systems
Luis F. A. Roman, Paulo R. L. Gondim, Jaime Lloret
Article
Computer Science, Information Systems
Ana Paula G. Lopes, Lucas O. Hilgert, Paulo R. L. Gondim, Jaime Lloret
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2019)
Article
Engineering, Electrical & Electronic
Rodrygo Torres Cordova, Paulo R. L. Gondim, Yarisley P. Llerena, Jaime Lloret
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2019)
Article
Chemistry, Analytical
Jesus N. S. Rubi, Paulo R. L. Gondim
Article
Computer Science, Information Systems
Luis P. A. Roman, Paulo R. L. Gondim
Article
Computer Science, Information Systems
Jesus Noel Sarez Rubi, Paulo Roberto de Lira Gondim
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2020)
Article
Computer Science, Hardware & Architecture
Ana Paula Golembiouski Lopes, Paulo R. L. Gondim
Article
Chemistry, Analytical
Ana Paula G. Lopes, Paulo R. L. Gondim
Article
Engineering, Electrical & Electronic
Jesus Noel Suarez Rubi, Paulo Roberto de Lira Gondim
Summary: This article proposes a smart city platform based on environmental IoT, utilizing Semantic Web Technologies to achieve data interoperability and address issues of big data application in smart city decision systems. Through a real environmental quality monitoring use case, it was found that the CoAP adapter provided the best results in terms of latency, RAM, and CPU consumption.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Yarisley Pena Llerena, Paulo R. L. Gondim
Article
Computer Science, Information Systems
Miran Taha, Aree Ali, Jaime Lloret, Paulo R. L. Gondim, Alejandro Canovas
Summary: This study presents a methodology design for evaluating subjective QoE in adaptive video streaming over wireless networks, considering parameters such as video characteristics, segment length, initial delay, switch strategy, stalls, and QoS parameters. The experiment showed that objective metrics can be mapped to significant subjective parameters for user experience.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Telecommunications
Luis Fernando Arias Roman, Paulo Roberto de Gondim
Summary: In this article, a group authentication and key agreement protocol for ensuring the security of the advanced metering infrastructure in smart grid networks is introduced. It showed better performance in terms of communication and computational cost compared to other protocols. The protocol was validated and tested through formal validation and intrusion simulation, with good results.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Ana Paula G. Lopes, Paulo R. L. Gondim
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2020)
Article
Computer Science, Information Systems
Yarisley Pena Llerena, Paulo R. L. Gondim
Proceedings Paper
Engineering, Biomedical
Willian Mattos, Carlos G. Speranza, Leandro Schwarz, Raimes Moraes
XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL 1
(2019)
