Abstract
In this letter, we investigate the blindness compensation for millimeter wave (mmWave) wireless networks by appropriately deploying the reconfigurable intelligent surface (RIS). Specifically, to maximize the average achievable rate, the precoder of base station, RISs’ coefficients and RISs’ deployment are jointly optimized, while taking into account the users’ stochastic geographical distribution. By leveraging stochastic gradient descent (SGD)-based algorithm, we investigate the optimal deployment issue for the single- and multi-RIS cases, respectively, in which the straightforward solutions for joint precoding and RIS phase shifts are established, demonstrating a beneficial performance while maintaining a favorable computational complexity. Finally, simulation results are provided to validate our proposed methodology.
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