无需痛苦的RIS增益：5G NR中的随机化与机会性调度
Practical RIS Gain without the Pain: Randomization and Opportunistic Scheduling in 5G NR
AI总结：
本文通过随机化RIS相位配置和利用5G NR比例公平调度机制，实现了无需优化的RIS增益，验证了其在现实5G系统中的有效性。
摘要：
我们通过实验展示了自行构建的可重构表面（RIS）与基于OpenAirInterface（OAI）框架实现的实时5G新无线电（NR）系统结合后所获得的性能增益。我们首先量化了将RIS与5G系统结合所能实现的吞吐量增益。接着，我们证明了通过随机设置RIS的相位配置并利用5G NR固有的比例公平（PF）调度机制，可以实现接近最优的吞吐量，前提是PF调度器的吞吐量平均窗口选择得当。这是因为，在每个时间槽中，PF调度器会自然优先传输给体验最佳信道条件的用户设备（UE），即与随机配置的RIS对齐的UE。随后，我们通过实验评估了关键性能指标，包括参考信号接收功率（RSRP）、块错误率（BLER）、调制与编码方案（MCS）指数和吞吐量，在随机RIS配置下。这些结果证实，即使具有微小开销的随机配置RIS在现实世界中的5G NR无线通信系统中也能提供与优化RIS设计相媲美的性能。
英文摘要：
We experimentally demonstrate the performance gains achieved by an in-house built reconfigurable intelligent surface (RIS) integrated with a real-time 5G new radio (NR) system implemented using the OpenAirInterface (OAI) framework. We first quantify the gain in throughput achievable by integrating an RIS with a 5G system. Next, we show that randomly setting the RIS phase configuration and leveraging the inherent proportional fair (PF) scheduling mechanism of 5G NR can yield near-optimal throughput, provided the throughput averaging window of the PF scheduler is chosen judiciously. This occurs because, in each time slot, the PF scheduler naturally prioritizes data transmission to the user equipment (UE) that experiences the best channel conditions, namely, the UE to which the randomly configured RIS is aligned. Subsequently, we experimentally evaluate key performance metrics, including the reference signal received power (RSRP), block error rate (BLER), modulation and coding scheme (MCS) index, and throughput, under random RIS configurations. These results confirm that even a randomly configured RIS with negligible overhead can deliver performance comparable to optimized RIS designs, in real-world 5G NR wireless communication systems.
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