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Consorzio Nazionale Interuniversitario per le Telecomunicazioni

Academic institutioneurope · it
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Research library13linked papers
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Selected work

Representative Papers

Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning

Aug 08, 2026

This work addresses the challenge of simultaneously achieving system efficiency, low communication overhead, safe execution, and scalability in large-scale urban traffic management. To this end, we propose VeloCity, a decentralized spatiotemporal trajectory planning framework that, for the first time, supports arbitrary complex urban road networks. In VeloCity, each connected autonomous vehicle autonomously generates conflict-free, dynamically feasible trajectories that minimize travel time, based on a spatiotemporal slot reservation table provided by local coordinators. The approach requires no scenario-specific customization and integrates distributed spatiotemporal profile optimization with a generic road topology adaptation mechanism. Large-scale simulations in Tokyo, Manhattan, Rome, and Bologna demonstrate significant reductions in both travel time and delay variance, effectively prevent gridlock, and exhibit exceptional scalability and performance advantages.

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A Comparison Between Co-Located and Distributed MIMO Deployments in OFDM-ISAC Networks

May 06, 2026

This paper investigates network-level integrated sensing and communication (ISAC) under two fundamentally different topology configurations: cell-free massive MIMO (CF-mMIMO) and multi-cell massive MIMO (MC-mMIMO). A unified OFDM-based waveform is adopted for both architectures as the key enabler for ISAC functionalities. The CF system exploits distributed access points (APs) and a scalable user-target-centric operation, whereas the MC system relies on co-located transmit-receive arrays with conventional cell-centric deployment. For both architectures, we derive a GLRT-based sensing detector and the corresponding sensing SNR expressions. We then examine a series of case studies investigating how the number of OFDM subcarriers, the transceiver allocation strategy, and the antenna/node distribution across the network affect the sensing performance. The results consistently demonstrate that CF-mMIMO provides more robust and higher sensing performance across most tested scenarios, particularly when transmit resources or antenna elements are spatially distributed. These findings highlight the inherent advantages of CF deployments for next-generation ISAC networks.

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Recent publications

Latest Papers

Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning

Aug 08, 2026

This work addresses the challenge of simultaneously achieving system efficiency, low communication overhead, safe execution, and scalability in large-scale urban traffic management. To this end, we propose VeloCity, a decentralized spatiotemporal trajectory planning framework that, for the first time, supports arbitrary complex urban road networks. In VeloCity, each connected autonomous vehicle autonomously generates conflict-free, dynamically feasible trajectories that minimize travel time, based on a spatiotemporal slot reservation table provided by local coordinators. The approach requires no scenario-specific customization and integrates distributed spatiotemporal profile optimization with a generic road topology adaptation mechanism. Large-scale simulations in Tokyo, Manhattan, Rome, and Bologna demonstrate significant reductions in both travel time and delay variance, effectively prevent gridlock, and exhibit exceptional scalability and performance advantages.

0 citationsRead paper

A Comparison Between Co-Located and Distributed MIMO Deployments in OFDM-ISAC Networks

May 06, 2026

This paper investigates network-level integrated sensing and communication (ISAC) under two fundamentally different topology configurations: cell-free massive MIMO (CF-mMIMO) and multi-cell massive MIMO (MC-mMIMO). A unified OFDM-based waveform is adopted for both architectures as the key enabler for ISAC functionalities. The CF system exploits distributed access points (APs) and a scalable user-target-centric operation, whereas the MC system relies on co-located transmit-receive arrays with conventional cell-centric deployment. For both architectures, we derive a GLRT-based sensing detector and the corresponding sensing SNR expressions. We then examine a series of case studies investigating how the number of OFDM subcarriers, the transceiver allocation strategy, and the antenna/node distribution across the network affect the sensing performance. The results consistently demonstrate that CF-mMIMO provides more robust and higher sensing performance across most tested scenarios, particularly when transmit resources or antenna elements are spatially distributed. These findings highlight the inherent advantages of CF deployments for next-generation ISAC networks.

0 citationsRead paper