NEUTRINAI Project

• Scope of this project: This project aims to design energy-efficient communication technology and protocol for the 6th generation (6G) Internet of Things (IoT) communication system. Energy efficiency is one of the key performance indicators for 6G IoT networks, in which it is imperative to design a communication protocol considering the cost of the ML model as well as the main radio interface. In order to realize the reduction of the overall energy consumption of AI-empowered IoT devices, this project newly introduces generative AI modules and wake-up radio technology into IoT devices operating with batteries, by which IoT devices can suppress unnecessary data transmission, and communication takes place in an energy-efficient manner by cooperatively transmitting signaling, informative data, and ML models from device to device. 

• Keywords: Internet of Things, Goal-oriented communication, energy-efficient protocol, IoT data collection, Machine learning, generative AI, Wake-up radio

• Project period: Sep. 2024- Aug. 2026

• Institution: Aalborg University, Denmark

Dissemination and Communication

• May 27, 2026, We presented our latest work, "Wireless Memory Approximation for Energy-efficient Task-specific IoT Data Retrieval", at IEEE ICC2026@Glasgow, Scotland, UK.

• Dec. 1, 2025, I gave a short talk at the Annual Workshop of  Future of Communications IV, Annual Workshop of the Villum Investigator Grant "Water", regarding "Wireless Memory Approximation: Energy-Frugal Relevant IoT Data Retrieval."

• March 13, 2025,  We presented our latest work at International ITG Conference on Systems, Communications and Coding (SCC) in the poster session, with the title of "TinyML Model Distribution for Energy-Efficient IoT Data Retrieval with MQTT Protocol" 

• Feb. 26, 2025, I gave a short talk at 6G-XCEL/ Commonwealth Cyber Initiative (CCI) Joint Workshop at Virginia Tech.. The title of the presentation is "Energy-Efficient Relevance Data Retrieval in IoT Networks", in which we present our latest work published through this project.

• December 11, 2024, I presented our latest work, "Coexistence of Push Wireless Access with Pull Communication for Content-based Wake-up Radios "  at IEEE Global Communications Conference, Cape Town, South Africa.

• December 11, 2024, We presented our latest work "EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models,"  at IEEE Global Communications Conference, Cape Town, South Africa.

• December 3, 2024, I gave a short talk at the Annual Workshop of  Future of Communications III, Annual Workshop of the Villum Investigator Grant "WATER", regarding the topic of "Timing and data relevance for Energy-frugal IoT networking". In this presentation, I briefly introduced the NEUTRINAI project and the latest results obtained from this project. 

• Sep. 30-Oct. 1 2024 I gave a short talk at 6G-XCEL/ACCoRD Plenary meeting & workshop in WINLAB, Rutgers University, regarding the topic of "Timing and Data Relevance in Pull-push Communication". In this presentation, we partially present our latest work "TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices".  

• Sep. 2024 Our paper titled "TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices" has been published in IEEE Communications Letters.

• Sep. 10-13, 2024 I attended the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), taken place in Lucca, Italy.

Publications under MSCA-PF Projects

[Journal peer reviewed]

1. Van Phuc Bui, Junya Shiraishi, Petar Popovski, and Shashi Raj Pandey, “Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access,” in IEEE Networking Letters,  vol. 7, no. 4, pp. 347-351, Dec. 2025.[arxiv link ]

2. Junya Shiraishi, Anders E. Kalør, Israel Leyva-Mayorga, Federico Chiariotti, Petar Popovski, and Hiroyuki Yomo, "Content-based Wake-up for Energy-efficient and Timely Top-k IoT Sensing Data Retrieval," in IEEE Transactions on Communications, vol. 73, no. 12, pp. 13983-13998, Dec. 2025. [arxiv link ]

3. Junya Shiraishi, Mathias Thorsager, Shashi Raj Pandey, Petar Popovski, "TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices," in IEEE Communications Letters,  vol. 28, no. 9, pp. 2101-2105, Sept. 2024, doi: 10.1109/LCOMM.2024.3436816.  [arxiv link]

[Magazine peer-reviewed]

1. Shashi Raj Pandey, Fabio Saggese, Junya Shiraishi, Federico Chiariotti, Petar Popovski, “Medium Access for Push-Pull Data Transmission in 6G Wireless Systems,” in IEEE Communications Magazine, vol. 64, no. 4, pp. 172-178, April 2026, doi: 10.1109/MCOM.001.2500233. [arxiv link]

[Conference, peer reviewed]

1. Matea Marinova, Shashi Raj Pandey, Junya Shiraishi, Martin Voigt Vejling, Valentin Rakovic, Petar Popovski, “Online Continual Learning for Anomaly Detection in IoT under Data Distribution Shifts,” Accepted for 34th European Signal Processing Conference (EUSIPCO 2026).[arxiv link]

2. Junya Shiraishi, Shashi Raj Pandey, Israel Leyva-Mayorga, Petar Popovski, “Wireless memory approximation for energy-efficient task-specific IoT data retrieval,” in Proc. IEEE International Conference on Communications 2026, 2026. [arxiv link]

3. Takaho Shimokasa, Hiroyuki Yomo, Federico Chiariotti, Junya Shiraishi, and Petar. Popovski, "Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint," 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkiye, 2025, pp. 1-6. [arxiv link]

4.  M. Thorsager, V. Croisfelt, J. Shiraishi, P. Popovski, ``EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models," 2024 IEEE Global Communications Conference (GLOBECOM), Cape town, South Africa, 2024.  [arxiv link ]

5. J. Shiraishi, S. Cavallero, S. R. Pandey, F. Saggese, and P. Popovski, “Coexistence of push wireless access with pull communication for content-based wake-up radios,” 2024 IEEE Global Communications Conference (GLOBECOM), Cape town, South Africa, 2024. [arxiv link ]