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20152026
most citedEnd-to-End Simulation of 5G mmWave Networks

453 citations · 2.2k across the 57 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.NI2026

5 Shades of Cooperation: Spectrum Sharing in the Upper-Mid Band

Alberto Ceresoli, Marco Mezzavilla, Ilario Filippini +1

Spectrum exclusively licensed to each mobile network operator (MNO) is scarce, and assigning it in fixed, frequency-orthogonal blocks leaves much of it idle under heterogeneous, ti…

eess.SP2026

Noncoherent Detection and Interference Nulling for Terrestrial-Satellite Downlink Coexistence in the Upper Mid-Band

Shizhen Jia, C. Nicolas Barati, Marco Mezzavilla +1

Terrestrial--satellite coexistence in the upper mid-band is challenging when a terrestrial base station has limited prior information about non-terrestrial receivers and their upli…

eess.SP2026

Near Field Multi-Band Localization: CRB, Efficient Estimator, and Threshold SNR

Roberto Bomfin, Marco Mezzavilla, Sundeep Rangan +1

This paper presents a theoretical framework for multi-band localization for a single-path single-input multiple-output (SIMO) system. We derive closed-form Cramer-Rao bounds (CRBs)…

cs.NI2026★ 2 cited

A Preliminary Assessment of Midhaul Links at 140 GHz using Ray-Tracing

Sravan Reddy Chintareddy, Marco Mezzavilla, Sundeep Rangan +1

The ever-growing demand for mobile data necessitates a transport network architecture that can withstand the 5G-and-beyond multi-Gbps traffic requirements. To cater for such unprec…

eess.SP2026

Low-rank Preconditioning in Beamspace Domain For Massive MU-MIMO Long-Term Beamforming

Amirreza Kiani, Ali Rasteh, Marco Mezzavilla +1

Long-term beamforming substantially reduces the channel estimation and inversion overhead of conventional massive MU-MIMO receivers; yet, its construction still hinges on the inver…

eess.SP2026

Interference Suppression for Massive MU-MIMO Long-Term Beamforming with Matrix Inversion Approximation

Amirreza Kiani, Ali Rasteh, Marco Mezzavilla +1

Long-term beamforming (LTBF) is a widely-used scalable alternative to instantaneous multi-user MIMO processing that leverages slowly varying spatial channel statistics. VLSI implem…

cs.CV2026

Exploring the Use of VLMs for Navigation Assistance for People with Blindness and Low Vision

Yu Li, Yuchen Zheng, Giles Hamilton-Fletcher +6

This paper investigates the potential of vision-language models (VLMs) to assist people with blindness and low vision (pBLV) in navigation tasks. We evaluate state-of-the-art close…

eess.SP2026

Distributed Uplink Anti-Jamming in LEO Mega-Constellations via Game-Theoretic Beamforming

Shizhen Jia, Mingjun Ying, Marco Mezzavilla +2

Low-Earth-Orbit (LEO) satellite constellations have become vital in emerging commercial and defense Non-Terrestrial Networks (NTNs). However, their predictable orbital dynamics and…

eess.SP2026

Interpolation Techniques for Fast Channel Estimation in Ray Tracing

Ruibin Chen, Jayadev Joy, Yaqi Hu +3

Ray tracing is increasingly utilized in wireless system simulations to estimate channel paths. In large-scale simulations with complex environments, ray tracing at high resolution…