Article
Telecommunications
Carlos R. Storck, Efrem E. de O. Lousada, Guilherme G. de O. Silva, RaquelA. F. Mini, Fatima Duarte-Figueiredo
Summary: This paper introduces a handover decision solution for connected vehicles to 5G Ultra-Dense Networks, utilizing Virtual Cells and complex network metrics for improved handover performance. Simulations demonstrate the effectiveness of the solution in treating vehicle handover.
VEHICULAR COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Wen Sun, Lu Wang, Jiajia Liu, Nei Kato, Yanning Zhang
Summary: The paper explores how to choose the appropriate BS cooperation set to reduce handover rate, introducing MACH and iMACH schemes. Utilizing stochastic geometry method, the performance expressions of these schemes are derived. Theoretical analyses show that the proposed schemes outperform the existing schemes in terms of coverage probability, handover probability, and throughput, making them more intelligent and suitable for ultra-dense scenarios.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Telecommunications
Yuexia Zhang, Chong Liu
Summary: The problem of high-precision indoor positioning in the 5G era has been gaining more attention. A fingerprint location method based on matrix completion (MC-FPL) is proposed for 5G ultra-dense networks to overcome the high costs of traditional fingerprint database construction and matching algorithms. The MC-FPL algorithm reduces the complexity of database construction and fingerprint matching and achieves higher positioning accuracy compared to the traditional fingerprint algorithm, as demonstrated by simulation results.
CHINA COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Salman Mohebi, Foivos Michelinakis, Ahmed Elmokashfi, Ole Grondalen, Kashif Mahmood, Andrea Zanella
Summary: This paper presents the empirical study results of the actual performance of a commercial 5G mmWave cell through on-field measurements. Various scenarios, including human body blockage effects and environmental factors, were considered. The measurement analysis provides valuable information for researchers and 5G verticals to better understand the real-world operation of a 5G mmWave commercial access network.
Article
Engineering, Electrical & Electronic
Marios Gatzianas, George Kalfas, Agapi Mesodiakaki, Christos Vagionas, Nikos Pleros
Summary: In this study, we investigate the problem of downlink Coordinated Beamforming for dense fixed-wireless millimeter wave (mmWave) networks under a Centralized/Cloud Radio Access Network (C-RAN) setting. We propose a throughput-optimal policy using the Lyapunov optimization framework, which considers stochastic traffic and channel fluctuations, and performs joint Base Station-to-user association and analog beam selection. Simulation results demonstrate that the optimal Lyapunov policy achieves a stable throughput increase of more than 2X per user compared to the baseline Round-Robin (RR)-based policy, while the proposed heuristics incur only a 20-30% performance penalty with significant computational time savings (up to 900X).
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Junhui Zhao, Lihua Yang, Minghua Xia, Mehul Motani
Summary: This article provides a comprehensive analysis of the performance of three CoMP strategies in mmWave cellular networks, showing different advantages and disadvantages in various network densities. The suggestion of selecting the optimal CoMP scheme based on distance and radius of line-of-sight region is proposed.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Xuebin Li, Terry N. Guo, Allen B. Mackenzie
Summary: This paper proposes a framework of multi-agent reinforcement learning (MARL) to tackle the complex optimization problem of mmWave user multi-association in a two-tier heterogeneous ultra-dense network with a relatively large number of user equipments. The proposed scheme considers mmWave beam-division based multi-connectivity and benefits from a macro base station for indirect cooperation among agents. Results show that the MARL schemes could achieve a good balance between energy efficiency and QoS outage, with the one using extended DR offering additional performance improvement.
Article
Engineering, Electrical & Electronic
Sidharth Sharma, Abhiram Singh, Ashwin Gumaste, Biswanath Mukherjee
Summary: 5G technology promises revolutionary bandwidth capabilities and optical solutions are proposed as the best fit to meet the network requirements. Light-trails offer dynamic bandwidth communication, sub-wavelength optical grooming, and optical layer multicasting, making them a suitable solution for 5G backhaul needs.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Sandeep Gulia, Anwar Ahmad, Sandeep Singh, Mangal Deep Gupta
Summary: Interference is a major issue in cellular networks, especially for cell-edge users. In heterogeneous networks, time domain enhanced inter-cell interference coordination (TD-eICIC) and coordinated multipoint (CoMP) are two methods that can improve network performance. This article proposes a simplified and efficient multi-tier adaptive cell-coordination approach, combining the features of TD-eICIC and joint transmission CoMP (JT-CoMP), to address the challenges in dynamically varying mobile environments.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Woobeen Jin, Hyeonjin Kim, Hyukjoon Lee
Summary: In this paper, a novel training method called multi-way local attentive learning is proposed to accurately and efficiently predict the path loss in mmWave communication, especially in dense urban environments. This method allows for learning from multiple perspectives on the same set of training samples with local attention paid to each subset of the entire dataset, resulting in improved prediction accuracy.
Article
Engineering, Electrical & Electronic
Bin Li, Yonghong Dai, Zhicheng Dong, Erdal Panayirci, Huilin Jiang, Hao Jiang
Summary: This paper investigates the optimization of energy efficiency in mmWave massive MIMO systems within ultra-dense HetNets. By proposing an iterative EE algorithm and applying CoMP technology, the study achieves improved energy efficiency while increasing network density.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Santosh Kumar Singh, Vivek S. Borkar, Gaurav S. Kasbekar
Summary: This article studies the problem of user association in a dense millimeter wave network and proposes a strategy to minimize the time users spend in the system.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Wen-Shyang Hwang, Teng-Yu Cheng, Yan-Jing Wu, Ming-Hua Cheng
Summary: This paper proposes an FL-based handover scheme for 5G UDNs that dynamically adjusts the handover parameters, HOM and TTT, based on UE's signal to interference plus noise ratio and horizontal moving speed. Simulation results show that the proposed scheme improves handover performance in terms of the number of handovers, ping-pong ratio, and overall system throughput compared to conventional handover schemes.
Article
Computer Science, Information Systems
Beenish Hassan, Sobia Baig, Hafiz M. Asif, Shahid Mumtaz, Sami Muhaidat
Summary: This article discusses the impact of new enabling technologies on wireless communication systems, with a focus on frequency division duplex channel estimation techniques. It highlights the importance of accurate channel state information for improving channel precoding and signal detection in 5G systems, and suggests future research directions.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Reza Poorzare, Oliver P. Waldhorst
Summary: 5G and beyond 5G networks will be an integral part of future human lives, dominating various aspects of everyday activities. Deploying Multipath TCP (MPTCP) is a solution to alleviate the shortcomings of millimeter-wave-based cellular networks and utilize the potential of new generation mobile networks. A well-designed MPTCP can select the best path among available ones and enhance the perceived user experience. This paper provides a comprehensive overview of MPTCP and its deployment over 5G and beyond 5G networks, analyzing millimeter-wave-based cellular networks, MPTCP procedures and parameters, state-of-the-art MPTCP congestion control mechanisms and schedulers, and potential solutions for improving the protocol's functionality in cellular communication.
Article
Computer Science, Interdisciplinary Applications
Misagh Tavanpour, Baha Uddin Kazi, Gabriel Wainer
Summary: This paper discusses the use of formal discrete-event modeling and simulation in networking applications, with a focus on mobile networks and Wireless Sensor Networks (WSN). It shows how to develop discrete-event model libraries for mobile networks based on the DEVS formalism to track users' upload status and manage control messaging in CoMP-based networks. A case study comparing two CoMP approaches, Joint Processing (JP) and Coordinated Scheduling (CS), is presented. Additionally, the paper demonstrates the use of DEVS models to simulate malware propagation in wireless sensor networks based on epidemic theory.
JOURNAL OF SIMULATION
(2022)
Article
Engineering, Electrical & Electronic
Vinu Subashini Rajus, Joseph Boi-Ukeme, Rishabh Sudhir Jiresal, Nicolas Areliana Risopatron, Pedram Nojedehi, Gabriel Wainer, Liam O'Brien, Stephen Fai
Summary: Occupants' health and wellbeing are the main concerns in the building and construction industry. Factors such as thermal, visual, acoustic, and chemical exposure can impact occupants' wellbeing, and continuous monitoring of buildings is one way to improve it. Building design issues and technical flaws can also negatively affect occupants' health.
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
(2022)
Article
Computer Science, Interdisciplinary Applications
Cristina Ruiz-Martin, Gabriel A. Wainer, Laouen Belloli
Summary: The study introduces a new method to translate SBML specifications into formal specifications for analysis and simulation by defining a generic biological model architecture that can be instantiated with different parameters for different types of cells and at different levels of detail. The research discusses the architecture, a prototype implementation, and various examples of application with synthetic and E. Coli models.
SIMULATION MODELLING PRACTICE AND THEORY
(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, Theory & Methods
Gabriel Wainer, Cristina Ruiz Martin
Summary: Discrete Event System Specification (DEVS) is a mathematical formalism used for modeling and simulating discrete-event dynamic systems. It offers advantages such as rigorous formal definition of models, well-defined mechanism for modular composition, and separation of concerns between model definition and simulation. This tutorial explains DEVS and demonstrates how to develop DEVS models using Cadmium, a DEVS simulator based on C++17.
2022 WINTER SIMULATION CONFERENCE (WSC)
(2022)
