With the increasing demand for wireless connectivity, ensuring the efficient coexistence of multiple radio access technologies in shared unlicensed spectrum has become an important issue. This paper focuses on optimizing Medium Access Control (MAC) parameters to enhance the coexistence of 5G New Radio in Unlicensed Spectrum (NR-U) and Wi-Fi networks operating in unlicensed spectrum with multiple priority classes of traffic that may have varying quality-of-service (QoS) requirements. In this context, we tackle the coexistence parameter management problem by introducing a QoS-aware State-Augmented Learnable (QaSAL) framework, designed to improve network performance under various traffic conditions. Our approach augments the state representation with constraint information, enabling dynamic policy adjustments to enforce QoS requirements effectively. Simulation results validate the effectiveness of QaSAL in managing NR-U and Wi-Fi coexistence, demonstrating improved channel access fairness while satisfying a latency constraint for high-priority traffic.

翻译：随着无线连接需求的日益增长，确保多种无线接入技术在共享非授权频谱中的高效共存已成为一个重要问题。本文重点研究优化介质访问控制（MAC）参数，以增强5G非授权频谱新空口（NR-U）与Wi-Fi网络在非授权频谱中的共存性能，这些网络承载着具有不同服务质量（QoS）要求的多优先级业务流。在此背景下，我们通过引入一种QoS感知状态增强可学习（QaSAL）框架来解决共存参数管理问题，该框架旨在提升网络在各种流量条件下的性能。我们的方法通过约束信息增强状态表示，从而能够动态调整策略以有效执行QoS要求。仿真结果验证了QaSAL在管理NR-U与Wi-Fi共存方面的有效性，表明其在满足高优先级业务流时延约束的同时，提升了信道访问的公平性。