Optimization of RIS-aided MIMO Systems via the Cutoff Rate
December 09, 2020 Β· Declared Dead Β· π IEEE Wireless Communications Letters
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Authors
Nemanja Stefan PeroviΔ, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan
arXiv ID
2012.05131
Category
cs.IT: Information Theory
Citations
32
Venue
IEEE Wireless Communications Letters
Last Checked
6 months ago
Abstract
The main difficulty concerning optimizing the mutual information (MI) in reconfigurable intelligent surface (RIS)-aided communication systems with discrete signaling is the inability to formulate this optimization problem in an analytically tractable manner. Therefore, we propose to use the cutoff rate (CR) as a more tractable metric for optimizing the MI and introduce two optimization methods to maximize the CR, assuming perfect knowledge of the channel state information (CSI). The first method is based on the projected gradient method (PGM), while the second method is derived from the principles of successive convex approximation (SCA). Simulation results show that the proposed optimization methods significantly enhance the CR and the corresponding MI.
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