Derives the positioning error bound using Fisher information for a multi-RIS mmWave MISO system and proposes Riemannian manifold optimization for continuous phase shifts and a grey wolf optimizer heuristic for discrete phase shifts to minimize the bound.
A n im- proved grey wolf optimizer for solving engineering problem s,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Millimeter-Wave Position Sensing Using Reconfigurable Intelligent Surfaces: Positioning Error Bound and Phase Shift Configuration
Derives the positioning error bound using Fisher information for a multi-RIS mmWave MISO system and proposes Riemannian manifold optimization for continuous phase shifts and a grey wolf optimizer heuristic for discrete phase shifts to minimize the bound.