16 citations · 24 across the 25 of their papers we have counts for
26 papers
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…
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…
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…
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-…
Robust Hybrid Beamforming with Liquid Crystal Antennas and Liquid Neural Networks
Xinquan Wang, Mingjun Ying, Hongren Chen +6
Sub-terahertz (sub-THz) multi-user multiple-input multiple-output (MU-MIMO) systems unlock immense bandwidth for 6G wireless communications. However, practical deployment of wirele…
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…
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…
Four-Port Probe Stations and SOLR Calibration Standard Design up to 125 GHz on 28 nm CMOS
Dipankar Shakya, Theodore S. Rappaport, Ethan Shieh +12
This paper presents two innovative four-port probe stations developed by FormFactor Incorporated (FFI) and MPI Corporation (MPI), and a four-port calibration standard design up to…
Standardized Machine-Readable Point-Data Format for Consolidating Wireless Propagation Across Environments, Frequencies, and Institutions
Dipankar Shakya, Naveed A. Abbasi, Mingjun Ying +8
The necessity of new spectrum for 6G has intensified global interest in radio propagation measurements across emerging frequency bands, use cases, and antenna types. These measurem…
Multi-Stage Location Optimization Through Power Delay Profile Alignment Using Site-Specific Wireless Ray Tracing
Mingjun Ying, Peijie Ma, Dipankar Shakya +1
Ray tracing (RT) simulations require accurate transmitter (TX) and receiver (RX) location information from real-world measurements to accurately characterize wireless propagation b…
Site-Specific Location Calibration and Validation of Ray-Tracing Simulator NYURay at Upper Mid-Band Frequencies
Mingjun Ying, Dipankar Shakya, Peijie Ma +2
Ray-tracing (RT) simulators are essential for wireless digital twins, enabling accurate site-specific radio channel prediction for next-generation wireless systems. Yet, RT simulat…
Upper Mid-Band Channel Measurements and Characterization at 6.75 GHz FR1(C) and 16.95 GHz FR3 in an Indoor Factory Scenario
Mingjun Ying, Dipankar Shakya, Theodore S. Rappaport +5
This paper presents detailed radio propagation measurements for an indoor factory (InF) environment at 6.75 GHz and 16.95 GHz using a 1 GHz bandwidth channel sounder. Conducted at…
Angular Spread Statistics for 6.75 GHz FR1(C) and 16.95 GHz FR3 Mid-Band Frequencies in an Indoor Hotspot Environment
Dipankar Shakya, Mingjun Ying, Theodore S. Rappaport
We present detailed multipath propagation spatial statistics for next-generation wireless systems operating at lower and upper mid-band frequencies spanning 6--24 GHz. The large-sc…
Urban Outdoor Propagation Measurements and Channel Models at 6.75 GHz FR1(C) and 16.95 GHz FR3 Upper Mid-Band Spectrum for 5G and 6G
Dipankar Shakya, Mingjun Ying, Theodore S. Rappaport +10
Global allocations in the upper mid-band spectrum (4--24 GHz) necessitate a comprehensive exploration of the propagation behavior to meet the promise of coverage and capacity. This…
Point Data for Site-Specific Mid-band Radio Propagation Channel Statistics in the Indoor Hotspot (InH) Environment for 3GPP and Next Generation Alliance (NGA) Channel Modeling
Theodore S. Rappaport, Dipankar Shakya, Mingjun Ying
Extensive work has been carried out in the past year by various organizations in an effort to determine standardized statistical channel impulse response (CIR) parameters for the n…
The Evolution of Applications, Hardware Design, and Channel Modeling for Terahertz (THz) Band Communications and Sensing: Ready for 6G?
Josep M. Jornet, Vitaly Petrov, Hua Wang +4
For decades, the terahertz (THz) frequency band had been primarily explored in the context of radar, imaging, and spectroscopy, where multi-gigahertz (GHz) and even THz-wide channe…
Propagation 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
Dipankar Shakya, Mingjun Ying, Theodore S. Rappaport +4
New spectrum allocations in the 4--8 GHz FR1(C) and 7--24 GHz FR3 mid-band frequency spectrum are being considered for 5G/6G cellular deployments. This paper presents results from…
Wideband Penetration Loss through Building Materials and Partitions at 6.75 GHz in FR1(C) and 16.95 GHz in the FR3 Upper Mid-band spectrum
Dipankar Shakya, Mingjun Ying, Theodore S. Rappaport +4
The 4--8 GHz FR1(C) and 7--24 GHz upper mid-band FR3 spectrum are promising new 6G spectrum allocations being considered by the International Telecommunications Union (ITU) and maj…
Waste Factor and Waste Figure: A Unified Theory for Modeling and Analyzing Wasted Power in Radio Access Networks for Improved Sustainability
Theodore S. Rappaport, Mingjun Ying, Nicola Piovesan +2
This paper introduces Waste Factor (W), also denoted as Waste Figure (WF) in dB, a promising new metric for quantifying energy efficiency in a wide range of circuits and systems ap…
Using Waste Factor to Optimize Energy Efficiency in Multiple-Input Single-Output (MISO) and Multiple-Input Multiple-Output (MIMO) Systems
Mingjun Ying, Dipankar Shakya, Theodore S. Rappaport
This paper introduces Waste Factor (W) and Waste Figure (WF) to assess power efficiency in any multiple-input multiple-output (MIMO) or single-input multiple-output (SIMO) or multi…
A Sub-Terahertz Sliding Correlator Channel Sounder with Absolute Timing using Precision Time Protocol over Wi-Fi
Dipankar Shakya, Hitesh Poddar, Theodore S. Rappaport
Radio channels at mmWave and sub-THz frequencies for 5G and 6G communications offer large channel bandwidths (hundreds of MHz to several GHz) to achieve multi-Gbps data rates. Accu…
Waste Factor: A New Metric for Evaluating Power Efficiency in any Cascade
Mingjun Ying, Dipankar Shakya, Hitesh Poddar +1
In this paper, we expand upon a new metric called the Waste Factor (), a mathematical framework used to evaluate power efficiency in cascaded communication systems, by accountin…
A Power Efficiency Metric for Comparing Energy Consumption in Future Wireless Networks in the Millimeter Wave and Terahertz bands
O. Kanhere, H. Poddar, Y. Xing +3
Future wireless cellular networks will utilize millimeter-wave and sub-THz frequencies and deploy small-cell base stations to achieve data rates on the order of hundreds of Gigabit…
Dense Urban Outdoor-Indoor Coverage from 3.5 to 28 GHz
Dipankar Shakya, Dmitry Chizhik, Jinfeng Du +2
In the US, people spend 87% of their time indoors and have an average of four connected devices per person (in 2020). As such, providing indoor coverage has always been a challenge…