Scholarlink

<p>In 5G based communication systems, adaptive modulation and coding (AMC) is a key approach that optimizes data transmission by constantly modifying modulation schemes and error correction coding by the current channel circumstances. AMC’s main objective is to increase data transfer efficiency and reliability while adjusting to the frequently fluctuating and unexpected nature of wireless channels. However, the channel's quality can be impacted by several variables, including distance, fading, noise, and interference in the time-varying channel. Hence it won't be easy to approximate the channel state information (CSI) accurately for time-varying channels. This paper discusses the novel rate adaptation approach that leverages generative adversarial networks (GAN) along with AMC to ensure efficient and reliable data transfer in a dynamic and often challenging environment, that maximizes data throughput even under varying conditions and offers robustness under adverse ones.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Generative adversarial networks based adaptive modulation and coding for next-generation 5G communication systems

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月20日

查看全文
  • A. Manikandan,
  • Rakesh Thoppaen Suresh Babu,
  • S Jai Ganesh,
  • T. Sanjay

摘要

In 5G based communication systems, adaptive modulation and coding (AMC) is a key approach that optimizes data transmission by constantly modifying modulation schemes and error correction coding by the current channel circumstances. AMC’s main objective is to increase data transfer efficiency and reliability while adjusting to the frequently fluctuating and unexpected nature of wireless channels. However, the channel's quality can be impacted by several variables, including distance, fading, noise, and interference in the time-varying channel. Hence it won't be easy to approximate the channel state information (CSI) accurately for time-varying channels. This paper discusses the novel rate adaptation approach that leverages generative adversarial networks (GAN) along with AMC to ensure efficient and reliable data transfer in a dynamic and often challenging environment, that maximizes data throughput even under varying conditions and offers robustness under adverse ones.