DEMO 1: Data-link prototyping in the upper mid-band (6-24 GHz) using Open Air Interface (OAI)
Time: TBD
Location: Plaza Exhibit / Foyer / Concourse Level
Abstract: The NYU/Pi-Radio team will provide a live demonstration of a ‘private FR3 network’. Traffic such as iPerf and Youtube will be exchanged between an OAI-gNB and an OAI-UE passing through an OAI 5G core network. The OAI-gNB is composed of a powerful computer and a USRP N310 that connects to PiRadio’s FR3 front-end using SMA cables. Similarly, the OAI-UE runs on a powerful laptop and a USRP B210 that connects to Pi-Radio’s FR3 front-end using SMA cables. The OAI 5G core network is created using docker images on the same PC that runs the OAI-gNB.
DEMO 2: Novel Network Configuration and Runtime Adaptation Methods for Industrial Wireless Sensor-Actuator Networks
Time: TBD
Location: Plaza Exhibit / Foyer / Concourse Level
Abstract: We will demonstrate the simulation-to-reality gap in wireless network configuration (identified in our experimental studies and reported in our paper published at NSDI’21). Because of this gap, the models for network configuration prediction learned from simulations cannot always help physical networks meet performance requirements. We will demonstrate our method that employs deep learning based domain adaptation to close the gap and leverages a teacher-student neural network to transfer the network configuration knowledge learned from a simulated network to its corresponding physical network (reported in our paper published at ACM Transactions on Networking in 2024). We will also demonstrate our method that leverages the data produced by multiple simulators to close the simulation gap (reported in a paper under review) as well as our meta-learning based solution to efficiently adapt the network configuration at runtime (reported in our paper published at IWQoS’23).
DEMO 3: Mapping business processes and creating system models with Generative AI
Time: TBD
Location: Plaza Exhibit / Foyer / Concourse Level
Abstract: The objective is to demonstrate how Generative AI can be utilized to create process models, data models and software architecture models. The only input required is a process description in natural language. During the demo we will showcase how we can create a business process diagram as well as development artefacts for engineers in less than 15 minutes by using Generative AI.
DEMO 4: WiThRay: 3D Ray-Tracing Simulator for Smart Wireless Environments
Time: TBD
Location: Plaza Exhibit / Foyer / Concourse Level
Abstract: This demonstration at IEEE ICC 2024 will exhibit WiThRay's functionality through various simulated scenarios. Attendees will witness how different beamformers perform in real-time and observe the channel observations of multiple terminals. A key feature is the demonstration of time-correlation in channel changes as mobile terminals move, showing how the velocity of these terminals affects the performance of various techniques. Additionally, we will showcase the potential benefits of RIS, a topic of growing interest in the academic community. Our demo aims to provide concrete, simulated results, offering attendees a clear understanding of how WiThRay can be applied in real-world scenarios and its implications for future wireless communication developments.
DEMO 5: Network as a Service – Featuring Traveller Wi-Fi
Time: TBD
Location: Plaza Exhibit / Foyer / Concourse Level
Abstract:
