Stacked Intelligent Metasurface-Enhanced MIMO OFDM Wideband Communication Systems
Zheao Li, Jiancheng An, Chau Yuen
TL;DR
This work introduces a fully-analog stacked intelligent metasurface (SIM) architecture for wideband MIMO-OFDM that performs beamforming in the electromagnetic wave domain to diagonalize the end-to-end channel and suppress inter-antenna interference. By cascading multiple metasurface layers (L TX-SIM and K RX-SIM), the system creates parallel subchannels and enables fully-analog spatial multiplexing with $N_{RF}=N_{TX}=S$, reducing baseband processing. The authors formulate a multi-carrier phase-shift optimization problem and solve it with a BCD-PCCP algorithm, achieving near-diagonal end-to-end channels across a finite effective bandwidth $B_e$ (around 20 MHz in their setup) and demonstrating substantial capacity gains (e.g., >$300\%$ over center-frequency configurations at 28 GHz with 16 subcarriers). Compared with fully-digital, hybrid, and DMA-based metasurface approaches, the SIM_MC configuration delivers significant capacity improvements with lower hardware complexity and energy consumption, highlighting its potential for high-capacity, energy-efficient wideband wireless links.
Abstract
Multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems rely on digital or hybrid digital and analog designs for beamforming against frequency-selective fading, which suffer from high hardware complexity and energy consumption. To address this, this work introduces a fully-analog stacked intelligent metasurfaces (SIM) architecture that directly performs wave-domain beamforming, enabling diagonalization of the end-to-end channel matrix and inherently eliminating inter-antenna interference (IAI) for MIMO OFDM transmission. By leveraging cascaded programmable metasurface layers, the proposed system establishes multiple parallel subchannels, significantly improving multi-carrier transmission efficiency while reducing hardware complexity. To optimize the SIM phase shift matrices, a block coordinate descent and penalty convex-concave procedure (BCD-PCCP) algorithm is developed to iteratively minimize the channel fitting error across subcarriers. Simulation results validate the proposed approach, determining the maximum effective bandwidth and demonstrating substantial performance improvements. Moreover, for a MIMO OFDM system operating at 28 GHz with 16 subcarriers, the proposed SIM configuration method achieves over 300% enhancement in channel capacity compared to conventional SIM configuration that only accounts for the center frequency.
