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Accurate path loss (PL) prediction is crucial for successful network planning, antenna design, and performance optimization in wireless communication systems. Several conventional approaches for PL prediction have been adopted, but they…

Signal Processing · Electrical Eng. & Systems 2025-10-02 Ferdaous Tarhouni , Muneer AlZubi , Mohamed-Slim Alouini

Fifth-generation (5G) cellular systems are likely to operate in the centimeter-wave (3-30 GHz) and millimeter-wave (30-300 GHz) frequency bands, where a vast amount of underutilized bandwidth exists world-wide. To assist in the research and…

Signal Processing · Electrical Eng. & Systems 2020-12-02 Ahmed Iyanda Sulyman , Abdulmalik Alwarafy , George R. MacCartney , Theodore S. Rappaport , Abdulhameed Alsanie

Today, cellular networks have saturated frequencies below 3\,GHz. Because of increasing capacity requirements, 5th generation (5G) mobile networks target the 3.5\,GHz band (3.4 to 3.8\,GHz). Despite its expected wide usage, there is little…

Networking and Internet Architecture · Computer Science 2021-05-17 Adrian Schumacher , Ruben Merz , Andreas Burg

This paper presents a new large-scale propagation path loss model to design a fifth-generation (5G) wireless communication system for indoor environments. Simulations for the indoor environment, for all polarization at non-line-of-sight…

Information Theory · Computer Science 2023-02-28 Hassan Zakeri , Reza Sarraf Shirazi , Gholamreza Moradi

The classic wireless communication channel modeling is performed using Deterministic and Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system design for 5G and beyond. ML techniques such as supervise…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Saud Aldossari , Kwang-Cheng Chen

For the development of new 5G systems to operate in bands up to 100 GHz, there is a need for accurate radio propagation models at these bands that currently are not addressed by existing channel models developed for bands below 6 GHz. This…

Although various linear log-distance path loss models have been developed, advanced models are requiring to more accurately and flexibly represent the path loss for complex environments such as the urban area. This letter proposes an…

Machine Learning · Computer Science 2019-04-05 Chanshin Park , Daniel K. Tettey , Han-Shin Jo

This paper presents key parameters including the line-of-sight (LOS) probability, large-scale path loss, and shadow fading models for the design of future fifth generation (5G) wireless communication systems in urban macro-cellular (UMa)…

Information Theory · Computer Science 2016-11-17 Shu Sun , Timothy A. Thomas , Theodore S. Rappaport , Huan Nguyen , Istvan Z. Kovacs , Ignacio Rodrigue

Large bandwidth at mm-wave is crucial for 5G and beyond but the high path loss (PL) requires highly accurate PL prediction for network planning and optimization. Statistical models with slope-intercept fit fall short in capturing large…

Information Theory · Computer Science 2022-06-29 Ankit Gupta , Jinfeng Du , Dmitry Chizhik , Reinaldo A. Valenzuela , Mathini Sellathurai

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 paper presents an extensive Urban Microcell (UMi) outdoor…

This paper compares three candidate large-scale propagation path loss models for use over the entire microwave and millimeter-wave (mmWave) radio spectrum: the alpha-beta-gamma (ABG) model, the close-in (CI) free space reference distance…

Over the past few decades, the development of cellular communication technology has spanned several generations in order to add sophisticated features in the updated versions. Moreover, different high-frequency bands are considered for…

This paper presents and compares two candidate large-scale propagation path loss models, the alpha-beta-gamma (ABG) model and the close-in (CI) free space reference distance model, for the design of fifth generation (5G) wireless…

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 the world's first comprehensive indoor hotspot (InH)…

Signal Processing · Electrical Eng. & Systems 2024-05-08 Dipankar Shakya , Mingjun Ying , Theodore S. Rappaport , Hitesh Poddar , Peijie Ma , Yanbo Wang , Idris Al-Wazani

The transition from 5G to 6G requires frequency-dependent, physically consistent radio channel models across the FR1--FR3 span, particularly in the under-explored $4$--$8$~GHz region targeted in the current WRC-$27$ studies, where outdoor…

Signal Processing · Electrical Eng. & Systems 2026-04-09 Inocent Calist , Minseok Kim

Terahertz frequency bands will likely be used for the next-generation wireless communication systems to provide data rates of hundreds of Gbps or even Tbps because of the wide swaths of unused and unexplored spectrum. This paper presents…

Information Theory · Computer Science 2021-10-26 Yunchou Xing , Theodore S. Rappaport

THz band is envisioned to be used in 6G systems to meet the ever-increasing demand for data rate. However, before an eventual system design and deployment can proceed, detailed channel sounding measurements are required to understand key…

Over the past few decades, attempts had been made to build a suitable channel prediction model to optimize radio transmission systems. It is particularly essential to predict the path loss due to the blockage of the signal, in indoor radio…

Signal Processing · Electrical Eng. & Systems 2020-12-17 Taewon Kang , Jiwon Seo

Future mobile communications systems are likely to be very different to those of today with new service innovations driven by increasing data traffic demand, increasing processing power of smart devices and new innovative applications. To…

This research leverages Conformal Prediction (CP) in the form of Conformal Predictive Systems (CPS) to accurately estimate uncertainty in a suite of machine learning (ML)-based radio metric models [1] as well as in a 2-D map-based ML path…

Machine Learning · Computer Science 2025-01-14 Alexis Bose , Jonathan Ethier , Ryan G. Dempsey , Yifeng Qiu
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