Practical RIS Gain without the Pain: Randomization and Opportunistic Scheduling in 5G NR
L. Yashvanth, Raju Malleboina, Venkatareddy Akumalla, Nekkanti Guna Sai Kiran, Debdeep Sarkar, and Chandra R. Murthy

TL;DR
This paper demonstrates that a randomly configured reconfigurable intelligent surface (RIS) can significantly enhance 5G NR system performance, achieving near-optimal throughput without complex optimization, through experimental validation using real hardware and scheduling mechanisms.
Contribution
It introduces a practical approach to RIS deployment in 5G NR systems using random configurations combined with existing scheduling, reducing complexity and overhead.
Findings
Random RIS configurations can nearly match optimized setups in throughput.
Proportional fair scheduling naturally prioritizes best channel conditions with random RIS.
Performance metrics confirm the effectiveness of simple RIS configurations in real-world systems.
Abstract
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…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Communication Security Techniques · Age of Information Optimization
