4 papers
Achieving Rate-Concurrency Balance for Underwater Concurrent Random Access
Enqi Zhang, Yuxuan Guo, Weining Li +5
Underwater acoustic networks face a fundamental rate--concurrency tradeoff: high-rate waveforms (e.g., OFDM, OTFS) are designed for point-to-point links and rely on orthogonal MAC…
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks
Huaisheng Ye, Xiaowen Ye, Liqun Fu
Long propagation delays in underwater acoustic networks (UWANs) cause spatio-temporal uncertainty, constraining channel utilization in medium access control (MAC) protocols. Node m…
Iterative Receiver Processing at Relays in PNC-Enabled Multi-Hop Underwater Acoustic Networks
Gewei Zhang, Deqing Wang, Lizhao You +2
Physical-layer network coding (PNC) can increase end-to-end throughput in bi-directional multi-hop underwater acoustic (UWA) networks. However, multipath delay spread and Doppler-i…
From Simulation to Reality: Practical Deep Reinforcement Learning-based Link Adaptation for Cellular Networks
Lizhao You, Nanqing Zhou, Guanglong Pang +3
Link Adaptation (LA) that dynamically adjusts the Modulation and Coding Schemes (MCS) to accommodate time-varying channels is crucial and challenging in cellular networks. Deep rei…