Keynotes

Prof. Gabriel Wainer

Professor at Carleton University
Department of Systems and Computer Engineering, Ottawa, Canada

Title: Modeling and Simulation of Cellular Networks: formalizing the models

Biographical Notes:

2022 McLeod Founder Award for distinguished service to the profession by the Society for Modeling and Simulation International (SCS). This award recognizes a group of technical contributions which have been made by the candidate over a significant period of time. They clearly reflect a commitment by the candidate to nurturing a robust evolution of the profession. The significant nature of the contributions will be supported by their wide dissemination in the technical literature and their discernible impact on the manner in which some aspect of the modeling and simulation activity is carried out.
2021 Distinguished Speaker. Association for Computing Machinery (ACM).
2020 Outstanding Professional Achievement Award by the Society for Modeling and Simulation International (SCS). The award recognizes outstanding service to the Society by a member.
2019 IEEE Outstanding Engineering Award (Ottawa Section). “For innovative and outstanding contributions to the field of discrete-event modeling and simulation”
2017 Nepean’s Canada 150th Anniversary Medal. The medal was given in the 150 anniversary of Canadian Confederation to recognize people who have made a difference in the community or excelled in their professional life in the riding of Nepean, ON, Canada.
2016 Fellow, the Society for Modeling and Simulation International (SCS).

Research Interests:

DEVS formalism
Real-Time modelling
Cellular models
Modelling and simulation methodologies and tools
Parallel/distributed/Web-based simulation
Real-Time operating systems

Abstract:

Modeling and Simulation methods have been used to better analyze the behavior of complex physical systems and it is now common to use simulation as a part of the technological discovery process. Formal M&S appeared in order to try to improve the development task of very complex simulation systems. Some of these techniques proved to be successful in providing a sound base for the development of discrete-event simulation models, improving the ease of model definition and enhancing the application development tasks, reducing costs and favoring reuse.

This is particularly important in the development of computer networks. Future mobile networks should provide high data rate services for their customers regardless of their location. This is a challenging task, specifically for the users in the edge of the cell’s area. To overcome this problem, Long Term Evolution Advanced introduced Coordinated Multi-Point (CoMP) and other advanced techniques were introduced. In this talk, we will present different methods developed recently for the next generation of mobile networks, based on CoMP and other techniques. We discuss different M&S techniques employed, and new results obtained that show that these methods can improve the performance for end users.
We will discuss Upload User Collaboration (UUC); an algorithm can be combined with CoMP to enhance the upload performance of cell-edge users.

We will then discuss new methods to improve the performance of video traffic in cellular networks. We present different algorithms that combine Device-to-Device (D2D) communication, introduced by the Long Term Evolution-Advanced standard (LTE-A). We present two algorithms for improving the throughput of video transmission in cellular networks. The algorithms are called Cached and Segmented Video Download (CSVD), and DIStributed, Cached, and Segmented video download (DISCS).

Finally, we discuss new methods for video streaming applications in Cellular networks. Providing high Quality of Experience (QoE) video streaming services is becoming a challenge due to the limited capacity in cellular networks and the impairments of transmission over radio links (e.g., path-loss and fading). As such, the parameters of the wireless communication on the radio access network between the Base-Station (BS) and User Equipment (UEs) have an effect on video streaming QoE. We study the impact of the wireless trans-mission parameters in Long Term Evolution-Advanced (LTE-A) networks on video streaming QoE. We consider both cell level and link level parameters. Dynamic Adaptive Streaming over HTTP (DASH) -based video streaming is considered here. We built a model for an LTE-A network and ran multiple simulations with various scenarios. We present and analyze the results to evaluate different video streaming QoE metrics, and to see how they are affected by the various cellular communication parameters.