Robert J. Piechocki

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University of Bristol

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Raul Santos-Rodriguez
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Self-Supervised WiFi-Based Activity Recognition

Traditional approaches to activity recognition involve the use of wearab...
04/19/2021 ∙ by Hok-Shing Lau, et al. ∙ 0 ∙ share

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Self-play Learning Strategies for Resource Assignment in Open-RAN Networks

Open Radio Access Network (ORAN) is being developed with an aim to democ...
03/03/2021 ∙ by Xiaoyang Wang, et al. ∙ 0 ∙ share

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Non-Asymptotic Converse Bounds Via Auxiliary Channels

This paper presents a new derivation method of converse bounds on the no...
01/27/2021 ∙ by Ioannis Papoutsidakis, et al. ∙ 0 ∙ share

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DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems

In a world where Artificial Intelligence revolutionizes inference, predi...
07/07/2020 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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N2D:(Not Too) Deep clustering via clustering the local manifold of an autoencoded embedding

Deep clustering has increasingly been demonstrating superiority over con...
08/16/2019 ∙ by Ryan McConville, et al. ∙ 7 ∙ share

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Location Anomalies Detection for Connected and Autonomous Vehicles

Future Connected and Automated Vehicles (CAV), and more generally ITS, w...
07/01/2019 ∙ by Xiaoyang Wang, et al. ∙ 0 ∙ share

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Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation

Future Connected and Autonomous Vehicles (CAVs) will be equipped with a ...
03/31/2019 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed

A large-scale dataset of measurements of ETSI ITS-G5 Dedicated Short Ran...
03/25/2019 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS

Millimeter Waves (mmWaves) will play a pivotal role in the next-generati...
03/04/2019 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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Secure Data Offloading Strategy for Connected and Autonomous Vehicles

Connected and Automated Vehicles (CAVs) are expected to constantly inter...
03/04/2019 ∙ by Andrea Tassi, et al. ∙ 0 ∙ share

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On Intercept Probability Minimization under Sparse Random Linear Network Coding

This paper considers a network where a node wishes to transmit a source ...
11/21/2018 ∙ by Andrea Tassi, et al. ∙ 0 ∙ share

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Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications

The field of parallel network simulation frameworks is evolving at a gre...
11/08/2018 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges

As we move towards autonomous vehicles, a reliable Vehicle-to-Everything...
06/13/2018 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs

Connected and Autonomous Vehicles (CAVs) require continuous access to se...
02/28/2018 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights

Connected and Autonomous Vehicles (CAVs) will play a crucial role in nex...
01/29/2018 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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Agile Calibration Process of Full-Stack Simulation Frameworks for V2X Communications

Computer simulations and real-world car trials are essential to investig...
10/06/2017 ∙ by Ioannis Mavromatis, et al. ∙ 0 ∙ share

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High-Speed Data Dissemination over Device-to-Device Millimeter-Wave Networks for Highway Vehicular Communication

Gigabit-per-second connectivity among vehicles is expected to be a key e...
10/06/2017 ∙ by Andrea Tassi, et al. ∙ 0 ∙ share

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Modeling and Design of Millimeter-Wave Networks for Highway Vehicular Communication

Connected and autonomous vehicles will play a pivotal role in future Int...
06/01/2017 ∙ by Andrea Tassi, et al. ∙ 0 ∙ share

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Wireless Vehicular Networks in Emergencies: A Single Frequency Network Approach

Obtaining high quality sensor information is critical in vehicular emerg...
10/03/2016 ∙ by Andrea Tassi, et al. ∙ 0 ∙ share

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