报告详情
Terahertz AI Circuits for 6G and Beyond Wireless Networks
编号：65
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更新：2026-10-04 23:30:26 浏览：6次
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摘要
Terahertz (THz) communication is considered a fundamental enabling technology for sixth-generation (6G) and beyond wireless networks due to its capability to provide ultra-high bandwidth, terabit-per-second data rates, and ultra-low latency connectivity. However, THz systems face significant challenges, including severe propagation loss, molecular absorption, beam alignment complexity, and high energy consumption. This paper proposes an AI-enabled terahertz circuit architecture that integrates machine learning accelerators, intelligent beamforming modules, adaptive channel estimation engines, and autonomous resource management circuits to optimize wireless communication performance in real time. The proposed framework combines ultra-massive multiple-input multiple-output (UM-MIMO) transceivers, edge AI processors, and neuromorphic computing units to enable intelligent spectrum utilization and dynamic network adaptation. Simulation results demonstrate improvements in spectral efficiency, beamforming accuracy, throughput, and energy efficiency compared with conventional THz communication systems. The proposed architecture achieved spectral efficiency exceeding 72 bps/Hz, beamforming accuracy above 98%, and throughput greater than 1 Tbps. These findings highlight the potential of AI-enabled THz circuits as a critical foundation for future intelligent, autonomous, and ultra-high-capacity wireless networks.
关键词
6G,Terahertz Communications,Artificial Intelligence,Process Innovation
报告人
Wai Yie Leong
Researcher INTI International University稿件作者
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重要日期
-
会议日期
10月11日
2026
至10月14日
2026
-
12月30日 2025
报告提交截止日期
-
09月28日 2026
提前注册日期
-
10月10日 2026
初稿截稿日期
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10月14日 2026
注册截止日期
主办单位
United Societies of Science
承办单位
Posts and Telecommunications Institute of Technology
协办单位
IEEE Section
IEEE Vietnam Section
IEEE Vietnam Section
联系方式
- ASIANComNet 2026
- as******@usssociety.org
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