no code implementations • 19 Apr 2024 • Zhengpeng Wang, Yanqun Tang, Yingzhe Mao, Tao Wang, Xiunan Huang
This letter presents a deep reinforcement learning (DRL) approach for transmission design to optimize the energy efficiency in vehicle-to-vehicle (V2V) communication links.
no code implementations • 18 Dec 2023 • Jiajun Zhu, Yanqun Tang, Xizhang Wei, Haoran Yin, Jinming Du, Zhengpeng Wang, Yuqinng Liu
Affine frequency division multiplexing (AFDM) is a recently proposed communication waveform for time-varying channel scenarios.
no code implementations • 6 Aug 2023 • Shiyu Song, Yanqun Tang, Xizhang Wei, Yu Zhou, Xianjie Lu, Zhengpeng Wang, Songhu Ge
In each layer, our proposed m-MTLS estimator first employs an M-estimate total least mean squares (MTLS) algorithm to eliminate residual SI from the received signal and give a new estimation of the RT channel.