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Related Experiment Video

Updated: May 21, 2025

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

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

Published on: June 25, 2021

Resource allocation Of 5G mmWave communication under random interference.

Lina Yuan¹, Huajun Chen^2,3, Qinghuan Huang⁴

¹School of Data Science, Tongren University, Tongren, 554300, China. dsjyln@gztrc.edu.cn.

Scientific Reports

|March 18, 2025

Summary

This study optimizes resource allocation for 5G wireless communications using millimeter wave (mmWave) technology. An optimal power algorithm enhances efficiency and capacity, addressing high-speed demands.

Keywords:

5G Artificial intelligence MmWave Optimal capacity Resource allocation

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Area of Science:

Wireless Communication Systems
Artificial Intelligence Applications
Signal Processing

Background:

Rapid AI expansion drives demand for efficient communication resources.
Fifth-generation (5G) systems require optimized resource allocation.
Millimeter wave (mmWave) technology presents unique challenges and opportunities.

Purpose of the Study:

Maximize resource allocation efficiency in mmWave systems.
Meet evolving communication technology needs and user demands.
Minimize total system energy consumption.

Main Methods:

Constructed a mmWave system model.
Studied mmWave channel and multi-beam models.
Proposed an optimal power algorithm for resource allocation.

Main Results:

Simulated the proposed algorithm using MATLAB.
Demonstrated that the direct path enhances coverage area capacity.
The optimal power algorithm improved resource allocation efficiency.

Conclusions:

The proposed algorithm effectively enhances mmWave resource allocation efficiency.
Direct path utilization is key to improving coverage capacity.
This research contributes to optimizing 5G communication systems.