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

TL;DR
This paper demonstrates that random RIS configurations combined with opportunistic scheduling in 5G NR systems can achieve significant performance gains without additional overhead or coordination.
Contribution
It introduces a low-complexity, random RIS switching approach integrated with 5G NR, supported by theoretical analysis and experimental validation.
Findings
RIS random switching improves RSRP, BLER, MCS, and throughput.
Properly chosen RIS switching and scheduling parameters maximize throughput.
Performance comparable to optimized RIS designs without extra overhead.
Abstract
In this paper, we theoretically analyze and experimentally demonstrate the performance gains achievable by integrating an in-house built reconfigurable intelligent surface (RIS) with a 5G new radio (NR) system implemented using the OpenAirInterface (OAI) software stack. Unlike conventional RIS-assisted systems that rely on explicit channel state information (CSI) estimation followed by RIS phase configuration optimization, we adopt a low-complexity approach in which the RIS phase states are randomly switched among predefined configurations. The resulting channel fluctuations are opportunistically exploited by the inherent proportional fair (PF) scheduling mechanism of 5G NR. We develop a theoretical framework that characterizes the interaction between RIS switching dynamics and PF scheduling. Based on this framework and the associated analysis, we provide design guidelines for selecting…
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