期刊
出版社
IEEE
DOI: 10.1109/SAM53842.2022.9827887
关键词
Decision Fusion; Internet of Things; Reconfigurable Intelligent Surface; Wireless Sensor Networks
资金
- IEEE SP Society within the Program Mentoring Experiences for Underrepresented Young Researchers
This paper studies channel-aware binary-decision fusion over a shared flat-fading channel with multiple antennas, utilizing a Reconfigurable Intelligent Surface (RIS). Simulation results show that RIS adoption can improve performance even in a suboptimal case.
We study channel-aware binary-decision fusion over a shared flat-fading channel with multiple antennas at the Fusion Center (FC). This paper considers the aid of a Reconfigurable Intelligent Surface (RIS) to effectively convey the information of the phenomenon of interest to the FC and foster energyefficient data analytics supporting the Internet of Things (IoT) paradigm. We present the optimal rule and derive a (sub-optimal) joint fusion rule & RIS design, representing an alternative with reduced complexity and lower system knowledge required. Simulation results for performance are presented showing the benefit of RIS adoption even in a suboptimal case.
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