Article
Engineering, Electrical & Electronic
Huy T. Nguyen, Hoang Duong Tuan, Dusit Niyato, Dong In Kim, H. Vincent Poor
Summary: This article investigates the impact of non-orthogonal and orthogonal bandwidth sharing on the rates of cellular users and D2D communication in a system coexisting MISO cellular network and D2D communication. It addresses the problems of joint bandwidth allocation and signal beamforming to maximize the minimum Cus' rate, and presents computational solutions using low complexity path-following algorithms. Simulation results demonstrate the superiority of using IGS over PGS in different scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yitao Han, Liang Liu, Lingjie Duan, Rui Zhang
Summary: In the existing cellular networks, communication and control of an unmanned aerial vehicle (UAV) swarm with high reliability and low latency is challenging. This paper proposes a novel two-phase transmission protocol using cellular and device-to-device (D2D) communication for the UAV swarm, aiming to combat the interference from ground base stations and improve communication efficiency. The protocol involves ground-to-air channel estimation, common control message transmission, and relay through D2D communication among UAVs, achieving better reliability performance compared to other benchmark protocols.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Runqian Wang, Na Deng, Haichao Wei
Summary: This paper provides a deep analysis of millimeter-wave device-to-device (mm-wave D2D) underlaid cellular networks, investigating how the performance of individual users or link percentiles under constraints are affected by the interaction between D2D and cellular communication modes integrated with mm-wave features. The results reveal the different effects of mm-wave network configuration parameters on the link and network performances from the perspective of individual users.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Dara Ron, Jung-Ryun Lee
Summary: The paper applies a deep reinforcement learning algorithm to optimize transmit power for DUEs and CUEs in D2D communication underlaid uplink cellular networks. The simulation results show that the proposed algorithm provides a near-global-optimum solution with lower computation complexity compared to traditional methods, outperforming fixed-power, WMMSE, gradient descent, and Newton-Raphson approaches.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Lubna Nadeem, Muhammad Awais Azam, Yasar Amin, Mohammed A. Al-Ghamdi, Kok Keong Chai, Muhammad Faisal Nadeem Khan, Muhammad Adnan Khan
Summary: The article discusses the need for modification in current network architectures to meet the increasing demand for connectivity and proposes integrating D2D, NS, and MEC technologies into future 5G networks to improve system performance.
Article
Chemistry, Analytical
Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez
Summary: D2D communication is a key technology in heterogeneous cellular networks, playing an important role in meeting performance and QoS requirements. Interference management is a critical and complex issue, and this study proposes a dynamic algorithm based on a distance approach to minimize interference and guarantee QoS for both cellular and D2D communication links.
Article
Telecommunications
Md. Fazlul Kader, S. M. Riazul Islam, Octavia A. Dobre
Summary: The novel D2D-UNOMA scheme utilizes non-orthogonal multiple access to improve uplink transmission performance through collaboration between multiple users in two time slots. Numerical results demonstrate a significant enhancement in ergodic sum rate compared to conventional orthogonal multiple access methods.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Praful D. Mankar, Zheng Chen, Mohamed A. Abd-Elmagid, Nikolaos Pappas, Harpreet S. Dhillon
Summary: This paper investigates the interaction between device-to-device (D2D) communications and real-time monitoring systems in a cellular-based Internet of Things (IoT) network. By modeling the locations of IoT devices and base stations as Poisson Point Processes, the performance of D2D communications and real-time applications is characterized using metrics such as average network throughput and Age of Information. The study provides design guidelines for future massive IoT networks supporting D2D communications and cellular network-enabled real-time applications.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Theory & Methods
Yu'e Jiang, Liangmin Wang, Hsiao-Hwa Chen
Summary: Wireless energy harvesting enables efficient Device-to-Device communication for improved spectral and energy efficiencies. To confuse adversaries, power beacons can be used to send jamming signals in D2D communication. An alternating optimization algorithm is adopted to maximize covert throughput and evaluate and optimize covert performance.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Engineering, Electrical & Electronic
Weihua Wu, Runzi Liu, Qinghai Yang, Tony Q. S. Quek
Summary: This paper explores resource allocation in D2D underlaying cellular networks with uncertain channel state information (CSI). A robust resource allocation framework is proposed to address the highly intractable chance constraint, transforming uncertainty sets into computation-friendly convex constraints.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Correction
Computer Science, Information Systems
Lubna Nadeem, Muhammad A. Azam, Yasar Amin, Mohammed A. Al Ghamdi, Kok Keong Chai, Muhammad F. Nadeem, Muhammad A. Khan
Summary: The missing reference in the article was corrected in Section VI, and Figures 5 and 7 were also cited.
Article
Engineering, Electrical & Electronic
Wenhao Wang, Lei Yang, Anqi Meng, Yueying Zhan, Derrick Wing Kwan Ng
Summary: This paper investigates resource allocation design for intelligent reflecting surface (IRS)-aided joint processing coordinated multipoint (JP-CoMP) downlink cellular networks with underlaying device-to-device (D2D) communications. Simulation results demonstrate that the proposed scheme can significantly increase the system sum-rate and confirm the superiority of introducing IRS for harnessing interference.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Dong-Hua Chen, Yu-Cheng He
Summary: This article investigates secure transmissions for a wireless powered full-duplex device-to-device overlay system. A two-phase transmission protocol is proposed to coordinate cellular downlink transmissions and D2D transmissions. The simulation results show that the proposed scheme can effectively coordinate the transmissions and enhance the security of D2D transmissions.
IEEE SYSTEMS JOURNAL
(2023)
Article
Computer Science, Information Systems
Abdul Kadir Hamid, Lamia Osman Widaa, Fahd N. Al-Wesabi, Imran Khan, Anwer Mustafa Hilal, Manar Ahmed Hamza, Abu Sarwar Zaman, Mohammed Rizwanullah
Summary: The emergence of multimedia services and the demand for higher data transmission rates have led to an increase in the number of devices in mobile networks. As a result, 5G networks are being designed with a heterogeneous and ultra-dense architecture, incorporating technological advances such as device-to-device (D2D) communication. Interference management is a key research area, and this paper proposes a joint resource allocation algorithm based on mode selection and resource assignment, which effectively improves system performance and reduces interference.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
S. Sinem Kafiloglu, Guerkan Guer, Fatih Alagoz
Summary: The Device-to-Device (D2D) paradigm is crucial for boosting network energy efficiency. Resource allocation management in heterogeneous D2D networks was studied, with a focus on mode selection optimization constrained by a total network service capacity threshold. A sub-optimal pattern search algorithm (PSA) was implemented to enhance energy efficiency, achieving the most beneficial results compared to alternative schemes while still meeting goodput thresholds. The study also examined the multi-mode nature of the heterogeneous network from energy efficiency and goodput perspectives.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Khaldoon Al-Zoubi, Gabriel Wainer
Summary: This research proposes a method and algorithms to build Fogs as private services with different middleware running on varied Virtual Machines. Clients can access services via nearby Fogs, enhancing mobility support.
JOURNAL OF SIMULATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Vinu Subashini Rajus, Nicolas Arellano Risopatron, William O'Brien, Gabriel Wainer, Stephen Fai
Summary: Campus master plans often focus on open spaces, compactness, connectivity, greenness, and environmental impact, while ignoring the effect of new building development on existing buildings' occupant comfort and design intent. This research provides a methodology to mitigate the adverse effects through analyzing the master plan, surveying occupants' comfort needs, and performing impact analysis. It emphasizes the importance of generative design and dynamic modeling in campus master plans to enhance occupants' comfort.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
(2023)
Article
Computer Science, Theory & Methods
Guillermo German Trabes, Gabriel A. Wainer, Veronica Gil-Costa
Summary: We propose a new algorithm for parallel discrete-event simulations on shared memory architectures, which distributes computations among different cores. Experiments show that our algorithm accelerates simulations up to eight times and scales well with the increase of CPU-cores used.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Glenn Davidson, Aidan Fahlman, Eric Mereu, Cristina Ruiz Martin, Gabriel Wainer, Peter Dobias, Mark Rempel
Summary: The study of infectious disease models is crucial during the COVID-19 pandemic. Mathematical models are commonly used to forecast disease spread and assist public health authorities in forming effective policies. However, current models lack spatial dynamics. This study introduces a new methodology that incorporates geographical models, allowing for more accurate and adaptable predictions.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Reza Amini, Ala'a Al-Habashna, Gabriel Wainer, Gary Boudreau
Summary: Massive machine type communication (mMTC) and Internet-of-Things (IoT) networks face challenges in implementing spectrum access strategies to provide ultra-reliable low-latency (URLL) transmissions. Non-orthogonal multiple-access (NOMA) is identified as a viable solution. A random access NOMA transmission protocol (RA-NOMA) is proposed for IoT networks with a large number of clustered IoT devices. Analytical expressions are derived for network metrics and the impact of various factors on these metrics is explored. A comparison is made between NOMA-ALOHA-TD and the proposed RA-NOMA.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Proceedings Paper
Computer Science, Information Systems
Mahya Shahmohammadimehrjardi, Gabriel Wainer, Mengyao Wu, Xinrui Zhang
Summary: RT-DEVS is a framework that integrates DEVS structured real-time embedded system design into microcontroller-based devices. This work implements and tests both the piecewise constant (QSS1) and piecewise linear (QSS2) quantized state integration schemes, and defines, builds, and evaluates a QSS-based PID controller using Real-Time DEVS through simulation and on-target testing, demonstrating how this method can be used for PID control to reduce message volume while maintaining reliable control.
2023 ANNUAL MODELING AND SIMULATION CONFERENCE, ANNSIM
(2023)
Proceedings Paper
Computer Science, Information Systems
Bruno St-Aubin, Gabriel Wainer, Fernando Loor
Summary: Simulation visualization is an effective method for understanding and communicating simulation study results of complex systems and processes. It increases model transparency and intelligibility for users of all levels, including non-experts, and can be used by modelers as a debugging tool during development.
2023 ANNUAL MODELING AND SIMULATION CONFERENCE, ANNSIM
(2023)
Proceedings Paper
Computer Science, Information Systems
Antonio F. Rodriguez-Liria, Roman Cardenas, Patricia Arroba, Jose M. Moya, Jose L. Risco-Martin, Gabriel Wainer
Summary: Modern IoT applications require high Quality of Service (QoS) that cannot rely on centralized solutions. Edge Computing extends the Cloud to the edge of the network to overcome these limitations. However, the distributed and complex nature of Edge infrastructures introduces new technical challenges. Modeling, Simulation, and Optimization (M&S&O) tools can help in the automatic design of successful Edge deployments. A decision support module is presented here, allowing practitioners to improve their Edge infrastructure using different optimization algorithms. This module's structure also allows for the extension of optimization methods if necessary. The module is demonstrated to improve energy consumption policies and reduce operational costs of Edge Computing facilities.
2023 ANNUAL MODELING AND SIMULATION CONFERENCE, ANNSIM
(2023)
Proceedings Paper
Computer Science, Information Systems
Ben Earle, Ala'a Al-Habashna, Gabriel Wainer, Xingliang Li, Guoqiang Xue
Summary: This study explores the use of various machine learning classifiers to identify the Line of Sight (LOS) status of simulated massive-MIMO channels. The classifiers make predictions based on limited Channel State Information (CSI) feedback received at the base station. The study addresses and effectively manages the class imbalance problem in LOS/NLOS identification, achieving promising results.
2023 ANNUAL MODELING AND SIMULATION CONFERENCE, ANNSIM
(2023)
Proceedings Paper
Computer Science, Information Systems
Rishabh Sudhir Jiresal, Gabriel Wainer
Summary: This paper introduces an architecture of the cyber-physical systems (CPS) interface using Discrete Event System Specifications (DEVS) that mimics the functionality of CPS interactions. The authors propose a DEVS model to portray the complete working of the CPS interface and implement and evaluate it on real-time hardware. The architecture is tested in a synthetic environment with multiple test cases in the simulation as well as real-time implementation. Additionally, they apply this framework to a practical case study in the field of building information modeling.
2023 ANNUAL MODELING AND SIMULATION CONFERENCE, ANNSIM
(2023)
Article
Computer Science, Interdisciplinary Applications
Hoda Khalil, Gabriel Wainer
Summary: This research proposes a novel framework that addresses the lack of data and inefficiency in studying the relationship between carbon dioxide concentration and air quality settings in indoor environments, using simulation models and deep neural networks.
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
(2023)
Article
Computer Science, Information Systems
Amjad Iqbal, Mau-Luen Tham, Yi Jie Wong, Ala'a Al-Habashna, Gabriel Wainer, Yong Xu Zhu, Tasos Dagiuklas
Summary: This article discusses the use of artificial intelligence techniques in learning and adapting to complex non-terrestrial network environments, and explores the challenges and opportunities of artificial intelligence in 6G networks.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Rahul Anilkumar, Benjamin Melone, Michael Patsula, Christophe Tran, Christopher Wang, Kevin Dick, Hoda Khalil, Gabriel Wainer
Summary: The COVID-19 pandemic has led to unprecedented unemployment rates and greater uncertainty in the job market. This study combines data from the Canadian Job Bank and Numbeo to explore the relationship between job postings during the pandemic and key performance indicators for major cities in Canada. The analysis aims to inform Canadians about career decisions, collect a snapshot of Canadian employment opportunities during the pandemic, and help job seekers find the right fit between city lifestyle and their career.
2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022)
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Laura Colley, Andrew Dybka, Adam Gauthier, Jacob Laboissonniere, Alexandre Mougeot, Nayeeb Mowla, Kevin Dick, Hoda Khalil, Gabriel Wainer
Summary: The music industry and personal music consumption have undergone significant changes with the emergence of streaming platforms. This study examines the correlation between Spotify's acoustic features and popularity metrics on various internet platforms, shedding light on the factors influencing a song's popularity in the digital realm. The findings reveal that YouTube views are positively correlated with Spotify song popularity, year, and energy, and moderately negatively correlated with acousticness and instrumentalness.
2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022)
(2022)
Article
Computer Science, Interdisciplinary Applications
P. Fonseca Casas, J. Garcia Subirana, V. Garcia Carrasco, X. Pi Palomes, Gabriel Wainer
Summary: This article defines interrelated models to simulate the spread of SARS-CoV-2 in Catalonia and validates the model assumptions using formal specification. The results obtained from the model can be used for decision-making.
COMPUTING IN SCIENCE & ENGINEERING
(2022)
