@inproceedings{25e8031df5434065a3f7808383453ca9,
title = "Attention-Enhanced DQN Scheduling for Multi-Link Devices in Synchronous N-STR Wi-Fi 7 Networks",
abstract = "WiFi 7 IEEE (802.11be) introduced Multi-Link Operation (MLO) that enables its devices to communicate over multiple links to support evolving latency-sensitive and high-throughput applications. However, MLO requires advanced scheduling algorithms to optimize the operation. This paper models WiFi 7 scheduling as a constrained Markov Decision Process that optimizes throughput, delay, latency and fairness while capturing access constraints and traffic dynamics. We also develop an attention-enhanced Rainbow Deep Q-Network (DQN) scheduling framework that combines multi-head attention, distributional Q-learning, and prioritized experience replay. Simulation results show up to 2.3× throughput improvement, 6× delay reduction, and marked gains in packet drop rate and spectral efficiency over baseline Round Robin scheduling.",
keywords = "DQN, DRL, MLO, N-STR, Wi-Fi 7",
author = "Ahmed Abdelreheem and Cormac Sreenan and Zahran, \{Ahmed H.\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2025 ; Conference date: 27-10-2025 Through 31-10-2025",
year = "2025",
doi = "10.1109/MSWiM67937.2025.11309124",
language = "English",
series = "MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "659--666",
booktitle = "MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems",
address = "United States",
}