Deep Reinforcement Learning-Based Arbitrary Beam Pattern Synthesis for Millimeter-Wave Reconfigurable Intelligent Surfaces With Discrete Phase Shifts
Abstract Millimeter-wave reconfigurable intelligent surface (RIS) panels restricted to 1bit or 2-bit discrete phase shifts must synthesize arbitrary beam patterns from a solution space that grows exponentially with the number of reflecting elements. Existing two-dimensional finite-impulse-response filter analogies comp...