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The combination of orthogonal frequency modulation (OFDM) and multiple-inputmultiple-output (MIMO) systems plays an important role in modern communicationsystems. In order to meet the growing throughput demands, future MIMO-OFDMreceivers are expected to utilize a massive number of antennas, operate indynamic environments, and explore high frequency bands, while satisfying strictconstraints in terms of cost, power, and size. An emerging technology torealize massive MIMO receivers of reduced cost and power consumption is basedon dynamic metasurface antennas (DMAs), which inherently implement controllablecompression in acquisition. In this work we study the application of DMAs forMIMO-OFDM receivers operating with bit-constrained analog-to-digital converters(ADCs). We present a model for DMAs which accounts for the configurablefrequency selective profile of its metamaterial elements, resulting in aspectrally flexible hybrid structure. We then exploit previous results intask-based quantization to show how DMAs can be configured to improve recoveryin the presence of constrained ADCs, and propose methods for adjusting the DMAparameters based on channel state information. Our numerical resultsdemonstrate that the DMA-based receiver is capable of accurately recoveringOFDM signals. In particular, we show that by properly exploiting the spectraldiversity of DMAs, notable performance gains are obtained over existing designsof conventional hybrid architectures, demonstrating the potential of DMAs forMIMO-OFDM setups in realizing high performance massive antenna arrays ofreduced cost and power consumption.

Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs