no code implementations • 12 Feb 2024 • Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Boldi Renato, Tony Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents.
no code implementations • 24 Jan 2024 • Peizheng Li, Ioannis Mavromatis, Aftab Khan
UMBRELLA is a large-scale, open-access Internet of Things (IoT) ecosystem incorporating over 200 multi-sensor multi-wireless nodes, 20 collaborative robots, and edge-intelligence-enabled devices.
no code implementations • 24 Jan 2024 • Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Carnelli, Aftab Khan
We evaluate our approach within an AFL deployment consisting of 10 simulated clients with heterogeneous compute constraints and non-IID data.
no code implementations • 24 Dec 2023 • Wei Wang, Peizheng Li, Angela Doufexi, Mark A Beach
Reconfigurable intelligent surface (RIS) technology is receiving significant attention as a key enabling technology for 6G communications, with much attention given to coverage infill and wireless power transfer.
no code implementations • 11 Sep 2023 • Wei Wang, Peizheng Li, Angela Doufexi, Mark A Beach
In reconfigurable intelligent surface (RIS)-assisted wireless communication systems, the pointing accuracy and intensity of reflections depend crucially on the 'profile,' representing the amplitude/phase state information of all elements in a RIS array.
no code implementations • 30 Aug 2023 • Peizheng Li, Adnan Aijaz, Tim Farnham, Sajida Gufran, Sita Chintalapati
Recently, the concept of digital twins (DTs) has received significant attention within the realm of 5G/6G.
1 code implementation • 19 Jun 2023 • Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall
Accurately perceiving instances and predicting their future motion are key tasks for autonomous vehicles, enabling them to navigate safely in complex urban traffic.
no code implementations • 13 Sep 2022 • Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Ahmad, Keith Briggs, Shipra Kapoor
In order to provide such services, 5G systems will support various combinations of access technologies such as LTE, NR, NR-U and Wi-Fi.
no code implementations • 31 Aug 2022 • Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert Piechocki, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh
The model will also be used as the base model for adaptive training in the new environment.
no code implementations • 27 Jun 2022 • Peizheng Li, Xiaoyang Wang, Robert Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh
Measuring customer experience on mobile data is of utmost importance for global mobile operators.
no code implementations • 8 Jun 2022 • Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
One of the main reasons is the modelling gap between the simulation and the real environment, which could make the RL agent trained by simulation ill-equipped for the real environment.
no code implementations • 8 Mar 2022 • Xingchi Liu, Peizheng Li, Ziming Zhu
Radio signal-based (indoor) localisation technique is important for IoT applications such as smart factory and warehouse.
no code implementations • 12 Nov 2021 • Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
We provide a taxonomy for the challenges faced by ML/RL models throughout the development life-cycle: from the system specification to production deployment (data acquisition, model design, testing and management, etc.).
no code implementations • 8 Mar 2021 • Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert Piechocki, Angela Doufexi, Tim Farnham
Finally, an ablation study of the training dataset shows that, in both office and sport hall scenarios, after reusing the feature extraction layers of the base model, only 55% of the training data is required to obtain the models' accuracy similar to the base models.
no code implementations • 16 Oct 2020 • Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert Piechocki, Angela Doufexi, Tim Farnham
Meanwhile, using a well-organised architecture, the neural network models can be trained directly with raw data from the CSI and localisation features can be automatically extracted to achieve accurate position estimates.