Over-the-Air Computation via Reconfigurable Intelligent Surface

نویسندگان

چکیده

Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition property multiple-access channels. However, performance AirComp bottlenecked by worst channel condition among all links between IoT devices and access point. In this paper, reconfigurable intelligent surface (RIS) assisted system proposed to boost received signal power thus mitigate bottleneck reconfiguring propagation With an objective minimize distortion, we propose joint design transceivers RIS phase-shifts, which however turns out be highly intractable non-convex programming problem. To end, develop novel alternating minimization framework conjunction with successive convex approximation technique, proved converge monotonically. reduce computational complexity, transform subproblem each alternation as smooth convex-concave saddle point problem, then tackled proposing Mirror-Prox method that only involves sequence closed-form updates. Simulations show time algorithm can two orders magnitude smaller than state-of-the-art algorithms, while achieving similar distortion performance.

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ژورنال

عنوان ژورنال: IEEE Transactions on Communications

سال: 2021

ISSN: ['1558-0857', '0090-6778']

DOI: https://doi.org/10.1109/tcomm.2021.3114791