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Related Experiment Video

Updated: Nov 27, 2025

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

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Published on: June 25, 2021

A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling.

Nenad Stefanovic¹, Marija Blagojevic¹, Ivan Pokrajac²

¹Faculty of Technical Sciences Cacak, University of Kragujevac, 34000 Kragujevac, Serbia.

Entropy (Basel, Switzerland)

|December 8, 2020

Summary

This summary is machine-generated.

This study introduces a new tool, SEP5G, to model and predict Quality of Service (QoS) in dynamic 5G New Radio (NR) networks. It enhances channel modeling by evaluating Level-Crossing Rate (LCR) and Average Fade Duration (AFD) for better radio resource allocation.

Keywords:

5G channel model AFD FSMC LCR cross-layer symbolic encapsulation point

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Area of Science:

Telecommunications Engineering
Wireless Communication Systems
Channel Modeling

Background:

5G New Radio (NR) networks aim to provide guaranteed Quality of Service (QoS).
Dynamic physical channels and mobility pose challenges for predicting QoS.
Existing 5G channel models lack evaluation of crucial second-order statistics like Level-Crossing Rate (LCR) and Average Fade Duration (AFD).

Purpose of the Study:

To introduce a novel tool, Symbolic Encapsulation Point 5G (SEP5G), for modeling and evaluating 5G channel characteristics.
To address the gap in current 5G channel models by incorporating LCR and AFD.
To facilitate the prediction of QoS parameters in dynamic mobile environments.

Main Methods:

Development of the SEP5G tool for encapsulating various mobile 5G modeling approaches.
Extended, wideband evaluation of LCR and AFD for radio resource allocation.
Comparison of a deterministic channel model with stochastic models for selected scenarios.
Implementation of Finite State Markov Chain (FSMC) modeling.

Main Results:

SEP5G provides an additional tool for encapsulating different mobile 5G modeling approaches.
Extended LCR and AFD evaluations enable optimal radio resource allocation modeling.
Achieved lower computational complexity and simulation time compared to analytical simulations.
Demonstrated feasibility of QoS parameter evaluation through FSMC modeling.

Conclusions:

SEP5G successfully fills the gap in 5G channel modeling by including LCR and AFD.
The tool supports enhanced QoS prediction and optimal radio resource allocation in dynamic 5G networks.
Symbolic encapsulation is positioned as central to cross-layer design for future 5G advancements.