Augmenting SEFDM Performance in High-Doppler Channels
arXiv (Cornell University)(2023)
摘要
This paper presents an innovative approach leveraging Spectrally Efficient
Frequency Division Multiplexing (SEFDM) with enhancements, including Frequency
Domain Cyclic Prefix (FDCP) and Modified Non-Linear (MNL) acceleration, to
address challenges arising from delay and Doppler shift in mobile communication
channels. Our methodology demonstrates superior performance and enhanced
spectral efficiency while incurring minimal computational overhead. We conduct
a rigorous evaluation of the SEFDM system model, examining the impact of the
MNL acceleration on SEFDM detection, and assessing the effectiveness of FDCP in
mitigating Doppler shift effects. Bit Error Rate (BER) results obtained through
Regularized Sphere Decoding in diverse simulation scenarios affirm the
capability of our proposed solution to effectively manage challenges, ensuring
robust and high-quality connectivity in mobile communication networks.
更多查看译文
关键词
sefdm performance,high-doppler
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要