Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 69, Issue 4, Pages 2643-2659Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.3040761
Keywords
Metasurface antennas; bit-constrained analogto-digital converter (ADC); multiple-input multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM)
Funding
- National Science Foundation of China (NSFC) [61625106]
- NSFC [61531011]
- Scientific Research Foundation of Graduate School of Southeast University [YBJJ1759]
- Benoziyo Endowment Fund for the Advancement of Science
- Estate of Olga Klein -Astrachan
- European Union [646804-ERCCOG-BNYQ]
- Air Force Office of Scientific Research [FA9550-18-1-0187, FA9550-18-1-0208]
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This study investigates the application of dynamic metasurface antennas (DMAs) for MIMO-OFDM receivers and proposes methods to optimize DMA parameters in the presence of bit-constrained analog-to-digital converters (ADCs). The results demonstrate that notable performance gains can be achieved by exploiting the spectral diversity of DMAs.
The combination of orthogonal frequency modulation (OFDM) and multiple-input multiple-output (MIMO) techniques plays an important role in modern communication systems. In order to meet the growing throughput demands, future MIMO-OFDM receivers are expected to utilize a massive number of antennas, operate in dynamic environments, and explore high frequency bands, while satisfying strict constraints in terms of cost, power, and size. An emerging technology to realize massive MIMO receivers of reduced cost and power consumption is based on dynamic metasurface antennas (DMAs), which inherently implement controllable compression in acquisition. In this work we study the application of DMAs for MIMO-OFDM receivers operating with bit-constrained analog-to-digital converters (ADCs). We present a model for DMAs which accounts for the configurable frequency selective profile of its metamaterial elements, resulting in a spectrally flexible hybrid structure. We then exploit previous results in task-based quantization to show characterized the achievable OFDM recovery accuracy for a given DMA configuration in the presence of bit-constrained ADCs, and propose methods for adjusting the DMA parameters based on channel state information. Our numerical results demonstrate that by properly exploiting the spectral diversity of DMAs, notable performance gains are obtained over existing designs of conventional hybrid architectures, demonstrating the potential of DMAs for realizing high performance massive antenna arrays of reduced cost and power consumption.
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