611 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OttawaCA11 papers
- Concordia UniversityCA3 papers
- University of WaterlooCA3 papers
- Ciena (United States)US2 papers
- Huawei Technologies (Canada)CA2 papers
- Terry Fox Research InstituteCA2 papers
- Alcatel-Lucent (United States)US1 paper
- Athens Information TechnologyGR1 paper
- BT Group (United Kingdom)GB1 paper
- Centre for Ultrahigh Bandwidth Devices for Optical SystemsAU1 paper
- Chalmers University of TechnologySE1 paper
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE1 paper
21 papers
Proactive SFC Provisioning with Forecast-Driven DRL in Data Centers
Parisa Fard Moshiri, Poonam Lohan, Burak Kantarci +1
Service Function Chaining (SFC) requires efficient placement of Virtual Network Functions (VNFs) to satisfy diverse service requirements while maintaining high resource utilization…
Structure-Aware NL-to-SQL for SFC Provisioning via AST-Masking Empowered Language Models
Xinyu Zhu, Parisa Fard Moshiri, Poonam Lohan +2
Effective Service Function Chain (SFC) provisioning requires precise orchestration in dynamic and latency-sensitive networks. Reinforcement Learning (RL) improves adaptability but…
Architecture Design for Rise/Fall Asymmetry Glitch Minimization in Current-Steering DACs
Ramin Babaee, Shahab Oveis Gharan, Martin Bouchard
Current-steering digital-to-analog converter (DAC) is a prominent architecture that is commonly used in high-speed applications such as optical communications. One of the shortcomi…
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan +2
Effective management of Service Function Chains (SFCs) and optimal Virtual Network Function (VNF) placement are critical challenges in modern Software-Defined Networking (SDN) and…
Joint Precoding and Probabilistic Constellation Shaping using Arithmetic Distribution Matching
Babaee Ramin, Oveis Gharan Shahab, Bouchard Martin
The problem of joint shaping and precoding is studied in this paper. We introduce statistical dependencies among consecutive symbols to shape the constellation while minimizing the…
Integrating Language Models for Enhanced Network State Monitoring in DRL-Based SFC Provisioning
Parisa Fard Moshiri, Murat Arda Onsu, Poonam Lohan +2
Efficient Service Function Chain (SFC) provisioning and Virtual Network Function (VNF) placement are critical for enhancing network performance in modern architectures such as Soft…
Scalability Assurance in SFC provisioning via Distributed Design for Deep Reinforcement Learning
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +1
High-quality Service Function Chaining (SFC) provisioning is provided by the timely execution of Virtual Network Functions (VNFs) in a defined sequence. Advanced Deep Reinforcement…
GenAI Assistance for Deep Reinforcement Learning-based VNF Placement and SFC Provisioning in 5G Cores
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +1
Virtualization technology, Network Function Virtualization (NFV), gives flexibility to communication and 5G core network technologies for dynamic and efficient resource allocation…
ML KPI Prediction in 5G and B5G Networks
Nguyen Phuc Tran, Oscar Delgado, Brigitte Jaumard +1
Network operators are facing new challenges when meeting the needs of their customers. The challenges arise due to the rise of new services, such as HD video streaming, IoT, autono…
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark
Yu Shen, Murat Simsek, Burak Kantarci +3
The number of Internet of Things (IoT) devices being deployed into networks is growing at a phenomenal level, which makes IoT networks more vulnerable in the wireless medium. Advan…
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection
Jinxin Liu, Murat Simsek, Burak Kantarci +2
Intrusion Detection Systems (IDS) are critical security mechanisms that protect against a wide variety of network threats and malicious behaviors on networks or hosts. As both Netw…
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen, Jinxin Liu, Yu Shen +4
Despite its technological benefits, Internet of Things (IoT) has cyber weaknesses due to the vulnerabilities in the wireless medium. Machine learning (ML)-based methods are widely…
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du, David Cote, Yan Liu
Missing data in time series is a pervasive problem that puts obstacles in the way of advanced analysis. A popular solution is imputation, where the fundamental challenge is to dete…
Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments
Marco Pistoia, Omar Amer, Monik R. Behera +16
This article describes experimental research studies conducted towards understanding the implementation aspects of high-capacity quantum-secured optical channels in mission-critica…
Forecasting Loss of Signal in Optical Networks with Machine Learning
Wenjie Du, David Cote, Chris Barber +1
Loss of Signal (LOS) represents a significant cost for operators of optical networks. By studying large sets of real-world Performance Monitoring (PM) data collected from six inter…
Network Migration Problem: A Logic-based Benders Decomposition Approach Driven by Column Generation and Constraint Programming
Maryam Daryalal, Hamed Pouya
Telecommunication networks frequently face technological advancements and need to upgrade their infrastructure. Adapting legacy networks to the latest technology requires synchroni…
Dynamic CU-DU Selection for Resource Allocation in O-RAN Using Actor-Critic Learning
Shahram Mollahasani, Melike Erol-Kantarci, Rodney Wilson
Recently, there has been tremendous efforts by network operators and equipment vendors to adopt intelligence and openness in the next generation radio access network (RAN). The goa…
Quantum Communication
Nicolas Gisin
Quantum Communication is the art of transferring an unknown quantum state from one location, Alice, to a distant one, Bob. This is a non-trivial task because of the quantum no-clon…
Interference and X Networks with Noisy Cooperation and Feedback
Mohammad Javad Abdoli, Akbar Ghasemi, Amir Keyvan Khandani
The Gaussian -user interference and X channels are investigated with no instantaneous channel state information (CSI) at transmitters. First, it is assumed that the…
On the Degrees of Freedom of -User SISO Interference and X Channels with Delayed CSIT
Mohammad Javad Abdoli, Akbar Ghasemi, Amir Keyvan Khandani
The -user single-input single-output (SISO) AWGN interference channel and SISO AWGN X channel are considered where the transmitters have the delayed channel state in…
Real Interference Alignment: Exploiting the Potential of Single Antenna Systems
Abolfazl Seyed Motahari, Shahab Oveis Gharan, Mohammad-Ali Maddah-Ali +1
In this paper, the available spatial Degrees-Of-Freedoms (DOF) in single antenna systems is exploited. A new coding scheme is proposed in which several data streams having fraction…