AI & ML
BRISC: A Dataset of Channel Measurements at 5 GHz With a Reflective Intelligent Surface
arXiv eess.SP0 views
arXiv:2602.21102v2 Announce Type: replace Abstract: We introduce the broadband reconfigurable intelligent surface (RIS) channel (BRISC) dataset. The dataset comprises measurements of channel state information (CSI) collected at 5.530 GHz using a 256-element RIS with binary states. In the measurement campaign, the transmitter and receiver are two software-defined radios (SDRs), phase-synchronized via an OctoClock, where the transmitter (receiver) is equipped with one (two) antenna(s). To manage complexity, the RIS elements are grouped into blocks of different sizes, where all elements within a block share the same state. CSIs have been captured for multiple a) transmitter positions (and fixed receiver location), b) RIS element-grouping granularity, and c) RIS configurations. Furthermore, we calibrated the parameters of state-of-the-art RIS channel models to fit the measured CSI. With approximately 10 000 configurations explored per transmitting position, BRISC serves as a robust benchmark in communication applications.
Source:https://arxiv.org/abs/2602.21102PreviousDeep Learning-Enhanced Real-Time Wi-Fi Sensing Through Single Transceiver PairNextBeam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach
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