Article
Green & Sustainable Science & Technology
Bin He, Rongxiao Liu, Tengyu Li
Summary: A large part of the global carbon footprint comes from manufacturing. Rational optimization of cutting parameters and production scheduling during processing are the main ways to achieve low-carbon manufacturing. Existing research mainly focuses on either cutting parameters or production scheduling, without considering the coupling relationship between the two.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Artificial Intelligence
Mohammadali Saniee Monfared, Sayyed Ehsan Monabbati, Atefeh Rajabi Kafshgar
Summary: This paper discusses noncooperative multi-objective optimization problems where the objective holders are independent humans or human-based entities, suggesting a new solution concept of the Pareto-optimal Equilibrium point. The interplay between game problems and multi-objective optimization problems is investigated, with illustrative examples provided to deepen the understanding of when a POE solution is achievable.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Peiya Zhu, Xiaofei Qian, Xinbao Liu, Shaojun Lu, Panos M. Pardalos
Summary: This study investigates the pricing game and supply strategy selection between a vertically integrated manufacturer and an exterior product manufacturer with different customer preferences and cost structures. The analysis reveals that the vertically integrated manufacturer with higher customer perception opens the component supply only when it nearly monopolizes the initial market or conducts a relatively strong market spillover. Improving customer perception or increasing the unit operation cost of either manufacturer will facilitate the open-supply strategy. However, the vertically integrated manufacturer with lower customer perception is encouraged to open the component supply in small original markets with high spillover and large original markets with low spillover.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Operations Research & Management Science
Richard Kicsiny, Zoltan Varga
Summary: Bimatrix games have theoretical importance and important applications. Pareto optimal strategy vectors are frequently applied, and this paper studies the Pareto optimality of strategy pairs in bimatrix games.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Multidisciplinary Sciences
Weijie Qian, Chao Chen, Liwu Gong, Wei Zhang
Summary: This paper proposes a user-side shared energy storage pricing strategy based on Nash game. By establishing optimal operation and cooperative game models, the purpose of peak shaving, resource saving, and win-win situation for all parties is achieved.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Ayan Mondal, Sudip Misra, Aishwariya Chakraborty
Summary: The problem of high-quality energy service provisioning in the presence of competitive prosumers and microgrids in cloud-enabled smart grid is studied. A dynamic cloud-based pricing scheme named SmartPrice is proposed to enforce cooperation among prosumers and improve the performance of the smart grid. The use of SmartPrice reduces the unit energy price charged from the prosumers and increases the number of prosumers served by the microgrids.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Engineering, Mechanical
Jin Tian, Liang Yuan, Wendong Xiao, Teng Ran, Jianbo Zhang, Li He
Summary: This study proposes a novel optimal robust control method based on cooperative game theory for achieving trajectory tracking issue of the lower limb exoskeleton robot. The method considers uncertainties and adopts fuzzy set theory to describe the boundary. By combining robust control and optimal design, the optimal robust control is formulated to satisfy both performance guaranteeing and optimality. The Pareto optimal solution is obtained to ensure the minimum control cost.
NONLINEAR DYNAMICS
(2022)
Article
Green & Sustainable Science & Technology
Yeming Dai, Xilian Sun, Yao Qi, Mingming Leng
Summary: This study investigates the impact of a real-time, personalized consumption-based pricing scheme on the management of electricity markets. Using a leader-follower game model, it reveals the effectiveness of the real-time pricing scheme in mitigating peak loads and stabilizing electricity prices, and finds that renewable energy dominates traditional energy.
Article
Computer Science, Information Systems
Peng Liu, Yantong Wu
Summary: This paper investigates the pricing, effectiveness, and profitability of collaboration advertising in the shared manufacturing model under government subsidies. It discusses the best decision-making for different cost-sharing contract models and finds that centralized decision-making leads to lower prices but higher advertising effort and profits compared to decentralized decision-making.
Article
Engineering, Industrial
Zhongmiao Sun, Qi Xu, Jinrong Liu
Summary: This paper investigates pricing and replenishment decisions for seasonal and nonseasonal products in a shared supply chain. Different models are proposed for the two product types. Adjustments in decisions based on dominance shifts and seasonal factors are crucial for seasonal products, while nonseasonal products are primarily influenced by the channel powers of nonplatform members.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Energy & Fuels
Soomin Woo, Sangjae Bae, Scott J. Moura
Summary: This paper investigates the challenge of planning an Electric Vehicle (EV) charging facility that offers high quality service while keeping costs low. By proposing an optimization model with demand management strategies, the study aims to achieve a facility that guarantees high quality service at a minimal cost.
Article
Management
Zachary Feinstein, Birgit Rudloff
Summary: Nash equilibria and Pareto optimality are two distinct concepts when dealing with multiple criteria. This work shows that all Nash equilibria can be characterized as Pareto-optimal solutions of a vector optimization problem. The results are extended to shared-constraint games, generalized Nash games, and vector-valued games. Numerical examples demonstrate the effectiveness of the proposed formulation in finding all Nash equilibria.
OPERATIONS RESEARCH
(2023)
Article
Energy & Fuels
Preetham Goli, Srinivasa Rao Gampa, Nallapaneni Manoj Kumar, Kiran Jasthi, Alivelu M. Parimi, D. Das, Ramesh. C. Bansal, Pierluigi Siano, Josep M. Guerrero
Summary: This paper proposes a strategic planning approach for distribution systems integrated with EV charging stations, employing fuzzy Pareto optimality to enhance system performance and minimize carbon emissions. The approach includes fuzzy Pareto heuristic network reconfiguration and Time of Use (ToU) pricing-based EV charging load scheduling. Simulation results demonstrate the advantages of the proposed approach.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Physics, Multidisciplinary
Peipei Zhang, Dandan Li
Summary: Based on the actual investment and return situation, a generalized public goods game (PGG) model combining with Nash bargaining is proposed, and the effects of segmental synergy factor and investment threshold on individuals' behavior evolution are analyzed. The Nash equilibrium and Pareto optimality related to PGG are theoretically calculated, and the influences of different factors on individuals' strategy choice, strategy difference, and gain are explored through numerical simulation. The results indicate that the increase in investment threshold T initially leads to an increase in strategy difference and investment among individuals, but then rapidly decreases to 0. Moreover, an optimal T exists that maximizes the average individuals' investment. As the game rounds increase, individuals' investment strategies tend to stabilize, and the average investment of individuals in a heterogeneous network is greater than that in a homogeneous network. This research provides a deeper insight into network reciprocity.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Jun Li, Tao Li, Daoyi Dong
Summary: We investigated the real-time pricing demand response management system of multiple microgrids and multiple power users. We proposed a Stackelberg-evolutionary joint game framework to establish equilibrium strategies for real-time pricing scheme. We proved the existence and uniqueness of the Stackelberg equilibrium and demonstrated the convergence and effectiveness of our proposed iterative algorithm through numerical simulations.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Engineering, Electrical & Electronic
Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, H. Vincent Poor
Summary: This paper discusses the problem of executing a task from a quantized version of the information source. The task is modeled by minimizing a general goal function with quantized parameters. The paper shows how to design a quantizer to minimize the gap between the quantized version and the optimal result. The analysis provides quantization strategies and allows a practical algorithm to be designed.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Dang Van Huynh, Van-Dinh Nguyen, Symeon Chatzinotas, Saeed R. R. Khosravirad, H. Vincent Poor, Trung Q. Q. Duong
Summary: This paper studies joint communication and computation offloading for hierarchical edge-cloud systems with ultra-reliable and low latency communications. The goal is to minimize end-to-end latency of computational tasks among multiple industrial IoT devices by optimizing offloading probabilities, processing rates, user association policies, and power control. The formulated problem is computationally intractable due to its mixed-integer non-convex nature and the coupling between binary and continuous variables. To address this, the paper decomposes the problem into two subproblems and uses an alternating optimization approach with convex approximate functions. Numerical results demonstrate the effectiveness of the proposed algorithms in terms of latency and convergence speed.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Ke Sun, Inaki Esnaola, Antonia. M. M. Tulino, H. Vincent Poor
Summary: Information-theoretic stealth attacks are data injection attacks that aim to minimize information acquired by the operator and control the probability of detection. For Gaussian distributed state variables, attack construction requires knowledge of second order statistics estimated from past realizations. An analysis of the amount of data required for attack construction and performance is studied within this framework using sample covariance matrices and asymptotic random matrix theory tools. Ergodic performance and variance bounds are evaluated through simulations on IEEE test systems.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Computer Science, Information Systems
Wayes Tushar, Chau Yuen, Tapan K. K. Saha, Sohrab Nizami, Mollah Rezaul Alam, David B. B. Smith, H. Vincent Poor
Summary: With the development of IoT, AI, and communication technologies, CPS has made significant contributions in various fields of society. The use of game theory has been extensively studied in CPS, addressing technical challenges and providing potential solutions for future research. This paper aims to provide a comprehensive understanding of different CPS types, explain the relevance of game theory in modeling CPS, and analyze its applications in addressing challenges.
Article
Automation & Control Systems
Yongqiang Wang, H. Vincent Poor
Summary: This article proposes a decentralized stochastic gradient descent (SGD) algorithm that provides inherent privacy protection for participating agents. The algorithm uses a dynamics-based gradient-obfuscation mechanism to ensure privacy without compromising optimization accuracy. It avoids the heavy communication or computation overhead associated with encryption-based privacy solutions.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Zijian Zhang, Linglong Dai, Xibi Chen, Changhao Liu, Fan Yang, Robert Schober, H. Vincent Poor
Summary: This paper proposes the concept of active reconfigurable intelligent surfaces (RISs) to overcome the capacity limitation of passive RISs in strong direct link scenarios. By integrating amplifiers into the elements, active RISs can amplify the reflected signals. The signal model of active RISs is developed and verified through experimental measurements, and the significant capacity gain they provide for wireless communications is analyzed. A joint transmit beamforming and reflect precoding scheme is proposed to maximize the sum-rate in an active RIS aided multi-user multiple-input single-output (MU-MISO) system. Simulation results show that active RISs can achieve a significant sum-rate gain of 130% in comparison to the limited 22% gain of passive RISs, thus overcoming the multiplicative fading effect.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Chinthaka Gamanayake, Yan Qin, Chau Yuen, Lahiru Jayasinghe, Dominique-Ea Tan, Jenny Low
Summary: In this paper, a hybrid deep learning network with degradation pattern clustering is proposed for accurate remaining useful life (RUL) estimation of reed relay. Multiple degradation behaviors are distinguished using dynamic time wrapping-based K-means clustering. The proposed method also provides operational rules for feature selection and combines a neural network with temporal correlation ability to address the weakness of CNN in capturing sequential data.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Telecommunications
Jiancheng An, Chau Yuen, Chongwen Huang, Merouane Debbah, H. Vincent Poor, Lajos Hanzo
Summary: This article introduces the unique properties and open challenges of holographic multiple-input multiple-output (HMIMO) technology, emphasizing the interplay between HMIMO and other emerging technologies in next-generation networks.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Wencai Yan, Wanming Hao, Chongwen Huang, Gangcan Sun, Osamu Muta, Haris Gacanin, Chau Yuen
Summary: This paper investigates the beam split and beamforming design problems in terahertz (THz) communications aided by reconfigurable intelligent surfaces (RIS). The beam split effect caused by different RIS sizes, shapes, and deployments is analyzed, and a fully connected time delayer phase shifter hybrid beamforming architecture is applied to mitigate the beam split effect. The aim is to maximize the achievable sum rate by jointly optimizing analog/digital beamforming, time delays, and reflection coefficients. An alternatively iterative optimization algorithm is proposed to solve the formulated problem. Simulation results demonstrate that the proposed scheme effectively alleviates the beam split effect and improves system capacity.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo, Walid Saad, H. Vincent Poor
Summary: This paper proposes an adaptive information bottleneck guided joint source and channel coding (AIB-JSCC) method for image transmission, aiming to reduce the transmission rate while improving the image reconstruction quality. By dynamically adjusting the hyperparameter of the loss function, a balance between compression and reconstruction quality is achieved. Experimental results demonstrate that AIB-JSCC can significantly reduce the amount of transmitted data and improve the reconstruction quality and downstream task accuracy.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Changkun Li, Wei Chen, H. Vincent Poor
Summary: The emerging next generation Ultra-Reliable and Low-Latency Communications (URLLC) is expected to improve the Quality-of-Service substantially for mission-critical mobile applications. However, it is challenging to meet hard delay constraints in harsh wireless environments with limited average power. This paper focuses on assuring hard delay constraints using frequency or spatial diversity techniques and shows that it is feasible even with highly but not fully correlated sub-channels.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Robotics
H. A. G. C. Premachandra, Ran Liu, Chau Yuen, U-Xuan Tan
Summary: This letter presents UWB radar as an alternative to LiDAR and cameras for SLAM, as UWB is not affected by low visibility or reflective surfaces. The proposed UWB-based radar SLAM is able to map landmarks and improve robot localization in indoor environments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Computer Science, Theory & Methods
Mansoor Ali, Georges Kaddoum, Wen-Tai Li, Chau Yuen, Muhammad Tariq, H. Vincent Poor
Summary: The rapid growth of electric vehicles has led to the development of more flexible and reliable vehicle-to-grid-enabled cyber-physical systems. However, with the increasing complexity, these systems are at a higher risk of cyber-physical threats. This paper presents a resilient and secure framework for detecting and mitigating coordinated cyber attacks in vehicle-to-grid-enabled cyber-physical systems, leveraging smart digital twin technology.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Information Systems
Kyeong Jin Kim, Hongwu Liu, Miaowen Wen, Theodoros A. Tsiftsis, Philip V. Orlik, H. Vincent Poor
Summary: Cyclic prefixed single-carrier (CP-SC) transmissions are an alternative to orthogonal frequency division multiplexing (OFDM) and have been widely studied. This tutorial focuses on recent research related to CP-SC transmissions for cooperative wireless systems. The diversity achievable by CP-SC transmissions is introduced, along with the use of QR decomposition (QRD)-M-based data detection. The benefits of CP-SC transmissions are verified through link-level simulations in various wireless systems.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Article
Computer Science, Information Systems
Sylvester Aboagye, Alain R. Ndjiongue, Telex M. N. Ngatched, Octavia A. Dobre, H. Vincent Poor
Summary: The recent development of 5G cellular networks has led to their deployment worldwide, but the skip-zone problem caused by signal obstructions is a challenge that needs to be addressed. By using relays or reconfigurable intelligent surfaces (RISs) to mitigate the effects of obstacles, smooth and efficient operation of 5G networks can be ensured. This paper provides a comprehensive tutorial on indoor visible light communication (VLC) systems utilizing RIS technology, discussing the basics of VLC and RISs, and exploring key challenges and research problems in integrating optical RISs with emerging technologies.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
