Adaptive modulation and power control algorithm optimization in carrier communication

Yingjun Zhang; Benguo Fu

doi:10.1117/12.3029214

6 May 2024 Adaptive modulation and power control algorithm optimization in carrier communication

Yingjun Zhang, Benguo Fu

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 1310731 (2024) https://doi.org/10.1117/12.3029214
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

Adaptive modulation and power control technology is an important technique in carrier communication, which can achieve a good balance between improving communication system performance and rational resource allocation. Because the delay and fading of each channel in the communication system are different, in this process, the selection of modulation mode needs to consider channel fading, transmission power, reception signal to noise ratio and other factors. This article studies an adaptive modulation and power control algorithm based on signal-to-noise ratio, with signal noise ratio as an important parameter. It can adaptively select modulation methods and transmission power based on channel conditions, thereby improving communication system performance without increasing channel capacity and system complexity. The research results indicate that after optimizing the algorithm in this article, the performance has been significantly improved in terms of error rate, throughput, and communication delay.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yingjun Zhang and Benguo Fu "Adaptive modulation and power control algorithm optimization in carrier communication", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 1310731 (6 May 2024); https://doi.org/10.1117/12.3029214

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available