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Welcome to the Pervasive Wireless Systems Group. The group is led by Dr. Domenico Giustiniano. The group investigates novel system solutions for the next generation of pervasive wireless systems. The main objective is to create impact, publishing in top system conferences, and transferring the results to the society.  The current main areas of research are:

Projects

Infrastructure

The hardware and infrastructure support end-to-end experimental research in wireless systems, spanning radio prototyping, localization, battery-free IoT, LiFi/visible-light communication, cellular experimentation, and large-scale data collection.  

On the experimental radio side, the lab has SDR and RF measurement platforms built around multiple Ettus USRPs: 8 USRP N310, 1 USRP N300, 4 USRP B210, 2 USRP B200mini, and 1 USRP N210, together with synchronization and timing hardware such as OctoClock, SecureSync, White Rabbit, GPSDO boards, and active GPS antennas. This infrastructure is suitable for distributed radio experiments, spectrum sensing, indoor and outdoor localization, timing-sensitive testbeds, and 5G/6G prototyping. 

The RF instrumentation includes a Keysight DSOX4024A oscilloscope, an Agilent 3000 X-series oscilloscope, a 5 kHz to 3 GHz spectrum analyzer, 2 Saleae logic analyzers, a NanoVNA V2, Analog Discovery 2, Analog Discovery 3 Pro, and a Korad 30V/5A bench power supply. Together, these tools support signal debugging, hardware validation, embedded development, and fast prototyping of communication systems. 

For rapid prototyping and experimental integration, the lab also includes a Bambu Lab H2D 3D printer with a 350 × 320 × 325 mm³ build volume and 5 μm optical motion calibration. This enables fast fabrication of custom enclosures, mounts, fixtures, sensor holders, and mechanical components for wireless, optical, and embedded system experiments.

For cellular and device-based experimentation, the available hardware includes a Quectel RM521F-GL 5G module, OnePlus 8, Google Pixel 7, and OPPO Reno 2 5G smartphones, plus other embedded and networking devices Raspberry Pi 4, Google Coral, rugged laptop platforms, and NUC systems. These platforms are well suited for mobile measurements, protocol testing, and real-world wireless evaluation. 

For battery-free and sustainable IoT research, the inventory includes 50 battery-free IoT devices and 2 Powercast RF harvesters, directly supporting work on energy-harvesting communications and low-power sensing.  

For visible-light communication and optical experimentation, the lab includes OpenBuilds Acro Systems, LC shutters, X-FOS and FOS optical components, a laser ranger, light meter/datalogger, high-power Tridonic LEDs, and related optical hardware.  

The compute and storage infrastructure significantly strengthens this setup. The group has a 15 TB NAS for replicated storage, multiple lab and datacenter servers, and both CPU- and GPU-oriented systems for experimentation, analysis, and AI workloads. This infrastructure is both for building wireless experiments and storing traces, processing data, running software stacks, and training or deploying machine learning models. The compute infrastructure provides a combination of experiment control, high-speed processing, large-scale storage, and AI acceleration. It supports OpenAirInterface-based 6G experimentation, SDR processing, indoor core-network and UE emulation, localization pipelines, and data-intensive wireless measurement studies. The available systems include GPU-equipped machines for deep-learning workloads, high-memory servers for shared compute and large experimental datasets, and replicated storage for long-term trace and file management. The infrastructure also includes modern multi-core servers with high-speed 10 Gbps and 100 Gbps connectivity, enabling fast transfer of large datasets. In addition, the presence of A100-class GPU resources makes the platform suitable for large-scale AI applications, signal-processing pipelines, MATLAB-based analysis, and AI-enhanced wireless systems research.