MSWiM 2021 Technical Program
(Tentative)
Important Notes
The conference will be held online using ZOOM. You can join each of the rooms/sessions using the ID and password. Both will be provided via email during the first week on November.
To access the session you need to install ZOOM client that can be downloaded for free and without any registration from the website https://zoom.us/download
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Program at a glance
Monday, November 22
All Day
Concurrent Symposia I
Tuesday, November 23
All Day
Concurrent Symposia I
8:30 - 9:00
Opening and Welcome Address by GC and TPC
9:00 - 10:00
S1: Vehicular and Aerial Networks 1
- Preventing Failures of Cooperative Maneuvers Among Connected and Automated Vehicles
- Testing AGV Mobility Control Method for MANET Coverage Optimization using Procedural Generation
10:00 - 11:00
Keynote Speech 1
- Space-Air-Ground Integrated Networking: from Single- to Multi-Component Pareto Optimization
- Prof. Lajos Hanzo University of Southampton, UK
11:00 - 11:15
Coffee break
11:15 - 13:15
S2: Mobile Edge/Fog Computing
- Closer than Close: MEC-Assisted Platooning with Intelligent Controller Migration
- Global Energy Optimization Strategy Based on Delay Constraints in Edge Computing Environment
- RAN-aware proxy-based flow control for high throughput and low delay eMBB
- Profit Maximization for Service Placement and Request Assignment in Edge Computing via Deep Reinforcement Learning
13:15 - 14:00
Lunch
14:00 - 15:30
S3: Modeling and Simulation of Vehicular Networks
- Accelerating the Simulation of Wireless Communication Protocols using Asynchronous Parallelism
- Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications
- An evaluation of OMNeT++-based V2X communication frameworks: on the path towards 5G-V2X simulations
15:30 - 15:45
Coffee break
15:45 - 17:15
S4: Green Protocols for Wireless Networks
- An Energy-Efficient Smart Space System using LoRa Network with Deadline and Security Constraints
- A Novel Harvesting-Aware RL-based Opportunistic Routing Protocol for Underwater Sensor Networks
- Enabling Green IoT: Energy-Aware Communication Protocols for Battery-less LoRaWAN Devices
Wednesday, November 24
09:00 - 10:00
S5: Wireless Industrial Networks
- Duocast for Wireless Industrial Networks: an Experimental Study
- 1KT: A Low-Cost 1000-Node Low-Power Wireless IoT Testbed
10:00 - 11:00
Keynote Speech 2
- Enabling the sustainable digital transformation of urban ecosystems
- Prof. Luis Muñoz Universidad de Cantabria, Spain
11:00 - 11:15
Coffee break
11:15 - 13:15
S6: Channel Access in Wireless Networks
- No Reservations Required: Achieving Fairness between Wi-Fi and NR-U with Self-Deferral Only
- Improving the Spatial Reuse in IEEE 802.11ax WLANs: A Multi-Armed Bandit Approach
- Admission Control and Scheduling of Isochronous Traffic in IEEE 802.11ad MAC
- Key-Activation Multiple Access: Simple and Efficient Collision-Free Channel Access in Multi-Hop Wireless Networks
13:15 - 14:30
Lunch and N2Women Networking Panel
14:30 - 16:00
S7: MIMO and mmWave Communication Protocols
- Reliable Consistent Multipath mmWave Communication
- Improved Fast Algorithms for Optimal Min-Max Line Barrier Coverage with Mobile Sensors on the Plane
- Scalable machine learning algorithms to design massive MIMO systems
Thursday, November 25
All Day
Concurrent Symposia IV
9:00 - 11:00
S8: Wireless Networks
- Characterizing RNTI Allocation and Management in Mobile Networks
- Admission Control for URLLC Users in 5G Networks
- Adapting Named Data Networking (NDN) for Better Consumer Mobility Support in LEO Satellite Networks
- LoRaWAN Relaying: Push the Cell Boundaries
11:00 - 11:15
Coffee break
11:15 - 12:15
S9: Wireless Communications and Networks 2
- Determining the Center of a Line Topology with Signal Strength Measurements under Correlated Log-Normal Shadowing: Analyzing the Three Node Case
- A Video-Quality Driven Strategy in Short Video Streaming
12:15 - 13:30
Lunch Break
13:30 - 14:30
S10: Vehicular and Aerial Networks 2
- Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning
- MixDrones: A Mix Zones-based Location Privacy Protection Mechanism for the Internet of Drones