Impact of Near-Field Conditions on the Performance of RIS-aided mmWave Communication Strategies
Year: 2024
Type: conference-paper
Abstract: In this paper, we consider a reconfigurable intelligent surface (RIS)-based transmitter operating in a high-frequency band that sends more symbols per channel use than the number of antennas at the receiver. For such a system, we present a comprehensive study on the design and performance of a neural network (NN)-based receiver. We evaluate the performance of the minimum mean squared error (MMSE) receiver, which is a linear receiver, the optimum maximum likelihood (ML) detector, and the NN-based receiver for recovering the transmitted symbols. The numerical simulations carried out for all the detectors considered prove that the classical far-field simplification leads to a performance underestimation in scenarios involving wide transmitters and high-frequency bands, as the one considered in this paper. Moreover, the results show that the NN-based receiver achieves a favorable trade-off between complexity and performance, outperforming the MMSE receiver while maintaining a lower complexity than the ML detector.
Authors: David Campoy García, Olga Muñoz, Antonio Pascual-Iserte
Institution: Universitat Politècnica de Catalunya
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: G1175115578, G146963, G1622782223, G2064873908, G2120394195, G2262748287, G2355262757, G288263039, G3005324705, G300979063, G34346518, G3480869486, G410571670, G425668148, G451917667, G5080475149, G5539308778, G5852091828, G5967599077, G69051668, G7084143925, G7425137858, G7694271527, G8684520763, G929308097
OpenAlex ID: W4406266542