Article
Computer Science, Hardware & Architecture
Akshay Jain, Elena Lopez-Aguilera, Ilker Demirkol
Summary: The paper introduces a joint optimization framework called AURA-5G to provide efficient mobility management and user association for 5G networks, aiming to improve network performance and ensure service quality. By using Mixed Integer Linear Programming (MILP) to maximize network throughput and optimize bandwidth allocation and access point selection, while studying the impact of different application profiles and dual connectivity modes on network performance.
Article
Computer Science, Information Systems
Hasna Fourati, Rihab Maaloul, Lamia Chaari, Mohamed Jmaiel
Summary: This research focuses on energy-saving in 5G heterogeneous networks using heuristic algorithms. The proposed mechanism, ESGA-5G, based on genetic algorithm and particle swarm optimization, achieves a higher percentage of energy savings compared to traditional methods.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Qimei Chen, Xiaoxia Xu, Hao Jiang
Summary: This study investigates energy consumption scheduling for unlicensed heterogeneous networks using network slicing technology, aiming to minimize network energy consumption through joint network selection and resource allocation scheduling, balancing traffic delay and energy consumption.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Seongmin Park, Daeun Kim, Youngkwon Park, Hyungjin Cho, Dowon Kim, Sungmoon Kwon
Summary: Advancements in mobile communication networks from 2G to 5G have led to unprecedented traffic growth, but also an increase in security threats. Security assessments are essential in order to address these challenges and vulnerabilities in 5G networks.
Article
Computer Science, Theory & Methods
Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Yun Yang
Summary: With the global rollout of the 5G network, a large number of edge servers have been deployed to host online applications with low service latency. However, these servers consume a significant amount of energy and contribute to carbon emissions, making energy-saving strategies crucial for efficient edge resource provisions.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Ibrahim Afolabi, Miloud Bagaa, Walid Boumezer, Tarik Taleb
Summary: This article presents a network service orchestration and configuration convergence framework for large-scale network slicing solutions in 5G networks, allowing distributed slice configuration and management.
Article
Chemistry, Analytical
Jun Zeng, Hao Wang, Wei Luo
Summary: This article discusses the development of millimeter wave (mmWave) communications driven by growing mobile traffic to enhance wireless network capacity. It proposes a triple-band network structure incorporating licensed bands, sub-6GHz unlicensed bands, and mmWave bands to support various types of mobile users. Additionally, a self-optimizing traffic steering strategy is proposed to intelligently steer traffic to specific networks and spectra, enhancing system throughput and energy efficiency.
Article
Computer Science, Information Systems
Massimiliano Maule, John S. Vardakas, Christos Verikoukis
Summary: Network slicing is crucial for 5G and future networks, enabling independent execution environments for logical networks with different functionalities. This article introduces a real-time NS management framework for 5G New-Radio, which achieves slice resource management through dynamic evaluation of user quality of service and tenant service level agreements.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Civil
Ali Hassan Sodhro, Sandeep Pirbhulal, Gul Hassan Sodhro, Muhammad Muzammal, Luo Zongwei, Andrei Gurtov, Antonio Roberto L. de Macedo, Lei Wang, Nuno M. Garcia, Victor Hugo C. de Albuquerque
Summary: This research proposes 5G-based algorithms and frameworks for intelligent transportation systems, aiming to improve energy efficiency and reliability, and optimizing signal strength and packet loss ratio. Experimental results show significant progress in energy and reliability aspects.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
SungHoon Jung, SaeWoong Bahk
Summary: This paper discusses the real-time control problem of uplink transmissions over dual links, proposing a joint control algorithm to minimize transmission power, primary link switching cost, and delays. Constraints on transmission power allocation and link activation are introduced, showing that primary link selection has a specific structure and link activation control depends on transmission efficiency. The performance bound analysis demonstrates that the algorithm can achieve an optimal target value.
Article
Engineering, Electrical & Electronic
Tantong Zhang
Summary: Radio access networks are crucial in the 5G sector, and cloud radio access networks can support high-performance applications. This study introduces a method for optimizing the routing and traffic in radio optical networks based on the architecture of 5G communications and presents experimental results on various network properties. The proposed method shows promising performance in terms of network cost, number of modulations, and number of samples.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Engineering, Civil
Juzhen Wang, Deshi Li, Hao Jiang, Meikang Qiu
Summary: The advent of 5G provides unprecedented opportunities for Internet of Vehicles (IoV) by utilizing network slicing technology and Non-Orthogonal Multiple Access technology (NOMA) to efficiently support differentiated services and increase connectivity. This paper formulates the problem of maximizing user connectivity as a Mixed-Integer Nonlinear Programming problem and proposes a two-stage scheme to address it. Simulations show that the proposed algorithm outperforms benchmark schemes and is close to the global optimal solution.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Merim Dzaferagic, Nicola Marchetti, Irene Macaluso
Summary: In this study, a distributed and a centralized approach to minimize signaling and latency related to user mobility in cellular networks were demonstrated, showing significant reductions in signaling between core and RAN compared to traditional methods. These solutions adapt quickly to changes in user movement patterns by utilizing locally available information.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Shasha Zhao, Yingying Feng, Gan Yu
Summary: With the rapid development of intelligent hardware and the Internet of Things, cognitive D2D communication technology in 5G networks can maximize the operation efficiency of communication devices by establishing communication links directly and utilizing communication resources efficiently.
COMPUTER COMMUNICATIONS
(2021)
Article
Psychology, Multidisciplinary
Zhang Ke, Hou Jiayi, Chen Long
Summary: Patriotism plays a significant role in shaping Chinese users' attitudes towards 5G network, influencing their perception of the government and telecom operators, the impact of media and peers, expectations of network performance, confidence in adapting to the technology, and willingness to use it.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Automation & Control Systems
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang
DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS
(2020)
Article
Engineering, Industrial
Saeed Nozhati, Yugandhar Sarkale, Edwin K. P. Chong, Bruce R. Ellingwood
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Computer Science, Hardware & Architecture
Alaa A. R. Alsaeedy, Edwin K. P. Chong
MOBILE NETWORKS & APPLICATIONS
(2020)
Article
Multidisciplinary Sciences
Mahsa Ghorbani, Edwin K. P. Chong
Article
Engineering, Civil
Saeed Nozhati, Bruce R. Ellingwood, Edwin K. P. Chong
Article
Chemistry, Analytical
Pranav U. Damale, Edwin K. P. Chong, Tian J. Ma
Summary: This paper investigates the performance of tracking multiple objects in clutter, discussing the problem of data association and different methods such as PDA, JPDA, and LSPA. Despite expectations, the study finds that incorporating a distance-weighting approach into PDA does not enhance the performance of LSPA in terms of tracking accuracy or computation time.
Article
Engineering, Civil
Christopher Robbiano, Edwin K. P. Chong, Mahmood R. Azimi-Sadjadi, Louis L. Scharf, Ali Pezeshki
Summary: This paper introduces a new Bayesian framework for generating probabilities of occupancy grids without assuming statistical independence between grid cells' occupancy states, achieving analytical tractability through the use of binary asymmetric channel models. Results demonstrate that the proposed framework outperforms the classical formulation in identifying occupancy grids with lower false alarm and miss detection rates, requiring fewer observations to accurately estimate occupancy probabilities.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Health Care Sciences & Services
Pranav U. Damale, Edwin K. P. Chong, Sean L. Hammond, Ronald B. Tjalkens
Summary: This paper presents a low-cost, camera-based system for autonomous gait acquisition and analysis in mice, which can accurately detect footfalls and calculate various gait parameters. The system was validated in a study on mice with Parkinson's disease, showing almost perfect detection accuracy. The results align with existing literature, demonstrating the practical feasibility of the system as a gait analysis tool.
JOURNAL OF HEALTHCARE ENGINEERING
(2021)
Review
Energy & Fuels
Michael T. Fox, Edwin K. P. Chong
Summary: Operators of mobile platforms are looking for more efficient power transfer and better tracking performance. This study presents a system-design optimization technique for a valve-controlled hydraulically actuated stabilized mount, which improves efficiency and meets design requirements.
Article
Engineering, Electrical & Electronic
Pranav U. Damale, Edwin K. P. Chong, Louis L. Scharf
Summary: In this article, the problem of ill-conditioning in the Wiener filter is addressed. Four approximate Wiener filter formulas are developed using a truncation technique based on the principal components of a composite covariance matrix. These approximate filters do not directly involve the inverse of the observation covariance matrix, ensuring their reliability and stability. An asymptotic analysis is also presented to show that the approximate filter formulas converge to the Wiener filter as certain approximating terms vanish. Real data is used to evaluate the performance and computation time of the filters, showing that the approximate filters have stable performance with less computation even when the covariance matrix is ill-conditioned.
IEEE OPEN JOURNAL OF SIGNAL PROCESSING
(2023)
Proceedings Paper
Business
Apichart Vasutapituks, Edwin K. P. Chong
Summary: This paper proposes an online path-planning algorithm for unmanned aerial vehicles (UAVs) to track mobile ground targets. The algorithm uses a variation of Monte Carlo tree search (MCTS), a non-myopic method applied to a partially observable Markov decision process (POMDP) model. It integrates a heuristic technique and parallel processing methods to improve computational performance and achieve a good exploration-exploitation tradeoff.
2022 7TH INTERNATIONAL CONFERENCE ON BUSINESS AND INDUSTRIAL RESEARCH (ICBIR2022)
(2022)
Article
Automation & Control Systems
Edwin K. P. Chong
Summary: This study investigates the problem of linear minimum mean square error (LMMSE) estimation. By introducing the structural property and well-conditioned constraint of constrained LMMSE filters, two well-conditioned filters are proposed. Experimental results demonstrate that these two filters outperform the standard LMMSE filter in terms of performance stability.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Proceedings Paper
Automation & Control Systems
Christopher Robbiano, Edwin K. P. Chong
Summary: This paper addresses the issue of autonomously choosing navigation actions while searching for targets in littoral regions. A modified cost function is proposed for multiple cooperative vehicles capable of sharing information, and the diminishing returns in performance as more vehicles are incorporated into the search are examined.
5TH IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2021)
(2021)
Article
Engineering, Electrical & Electronic
Christopher Robbiano, Mahmood R. Azimi-Sadjadi, Edwin K. P. Chong
Summary: This paper addresses an autonomous exploration problem in which a mobile sensor uses an information-theoretic navigation cost function to efficiently detect and classify objects of interest in an unseen search area. The proposed cost function consists of two information gain terms and a novel closed-form representation derived from the definition of mutual information. Experimental results show that using the proposed cost function can improve search efficiency compared to other methods.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Automation & Control Systems
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang
Summary: This letter introduces a general approach to bounding the performance of ADP methods in the stochastic setting, based on new results for bounding greedy solutions in string optimization problems. The surrogate objective and its curvatures determine the value beta of the bound, with the ADP scheme being a greedy scheme for some surrogate string objective function.
IEEE CONTROL SYSTEMS LETTERS
(2021)
