Achievable Rate Optimization for Stacked Intelligent Metasurface-Assisted Holographic MIMO Communications

Anastasios Papazafeiropoulos, Jiancheng An, Pandelis Kourtessis, Tharm Ratnarajah, Symeon Chatzinotas

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Stacked intelligent metasurfaces (SIM) is a revolutionary technology, which can outperform its single-layer counterparts by performing advanced signal processing relying on wave propagation. In this work, we exploit SIM to enable transmit precoding and receiver combining in holographic multiple-input multiple-output (HMIMO) communications, and we study the achievable rate by formulating a joint optimization problem of the SIM phase shifts at both sides of the transceiver and the covariance matrix of the transmitted signal. Notably, we propose its solution by means of an iterative optimization algorithm that relies on the projected gradient method, and accounts for all optimization parameters simultaneously. We also obtain the step size guaranteeing the convergence of the proposed algorithm. Simulation results provide fundamental insights such the performance improvements compared to the single-RIS counterpart and conventional MIMO system. Remarkably, the proposed algorithm results in the same achievable rate as the alternating optimization (AO) benchmark but with a less number of iterations.
Original languageEnglish
Number of pages14
JournalIEEE Transactions on Wireless Communications
Early online date17 May 2024
Publication statusE-pub ahead of print - 17 May 2024

Keywords / Materials (for Non-textual outputs)

  • 6G networks
  • Holographic MIMO (HMIMO)
  • gradient projection
  • reconfigurable intelligent surface (RIS)
  • stacked intelligent metasurfaces (SIM)


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