activity
20232026
most citedPropagation measurements and channel models in Indoor Environment at 6.75 GHz FR1(C) and 16.95 GHz FR3 Upper-mid band Spectrum for 5G and 6G

2 citations · 6 across the 22 of their papers we have counts for

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Showing 2026 · eess.SPShow all

8 papers · 2 filters

eess.SP2026

Joint Beamforming and RIS Deployment Optimization for Outdoor-to-Indoor Coverage at Upper Mid-Band: A Dual-Band Ray-Tracing Study

Mingjun Ying, Guanyue Qian, Xinquan Wang +4

Upper mid-band spectrum is promising for 5G and 6G cellular networks, yet concrete and low-emissivity glass impose over 20 dB of building penetration loss above 2 GHz, degrading ou…

eess.SP2026

Sum Secrecy Rate Maximization for Secure ISAC

Aleksandar Boljević, Mingjun Ying, Ahmad Bazzi +2

In an integrated sensing and communications (ISAC) system, targets may intercept information. We address this specific security issue in a full-duplex ISAC system with malicious ea…

eess.SP2026

Map-Free Single-Anchor Position Localization Using Multipath Uncertainty at Upper Mid-Band

Xingchen Liu, Mingjun Ying, Xinquan Wang +4

Future 5G-Advanced and 6G systems will exploit directional wideband channels for path-based localization, yet map-free indoor positioning remains challenging because extracted mult…

eess.SP2026

Omnidirectional UMi Path Loss Models for 3GPP Extension Above 100 GHz Using Extensive Empirical Data Sets from 6.75 to 142 GHz

Xingchen Liu, Homa Nikbakht, Mingjun Ying +5

Extending standardized urban microcell (UMi) path loss (PL) models from the upper mid-band (FR3) to sub-terahertz (sub-THz) frequencies requires measurement-based comparisons spann…

eess.SP2026

SPARC: Sparse Path-Aware Residual Calibrator for Wireless Ray Tracing at Upper Mid-Band

Mingjun Ying, Guanyue Qian, Xinquan Wang +5

Accurate site-specific ray tracing (RT) is essential for upper mid-band network planning, yet raw RT can produce per-path multipath component (MPC) power errors on the order of 19-…

eess.SP2026

NYUSIM: A Roadmap to AI-Enabled Statistical Channel Modeling and Simulation

Isha Jariwala, Xinquan Wang, Bridget Meier +6

Integrating artificial intelligence (AI) into wireless channel modeling requires large, accurate, and physically consistent datasets derived from real measurements. Such datasets a…

eess.SP2026

HoRAMA: Holistic Reconstruction with Automated Material Assignment for Ray Tracing using NYURay

Mingjun Ying, Guanyue Qian, Xinquan Wang +3

Next-generation wireless networks at upper mid-band and millimeter-wave frequencies require accurate site-specific deterministic channel propagation prediction. Wireless ray tracin…

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…