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Detail
Journal Article
Maximizing Harvested Energy in mmWave IoT Networks: A Tactable Blockage-Aware RIS Framework
- Authors
- Jungsun Um, Jaehyun Park
- Issue Date
- 2026-01
- Citation
- IEEE Access, v.14
- ISSN
- 2169-3536
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- This paper presents a novel analytical framework for energy harvesting (EH) in Reconfigurable intelligent surface (RIS) assisted mmWave IoT networks under realistic blockage conditions. By leveraging stochastic geometry, we develop a mathematical model that explicitly distinguishes between Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) propagation based on blockage density. We derive closed-form expressions for the average harvested energy, revealing that RIS deployment significantly mitigates the severe propagation losses caused by urban blockages. Furthermore, we formulate an optimal joint deployment strategy for base stations (BSs) and RISs under budget constraints, proposing an efficient bisection-based algorithm to maximize energy availability. Extensive numerical results validate our analytical framework and demonstrate that strategic RIS deployment is essential for ensuring energy sustainability in dense, blockage-prone mmWave environments.
- Keyword
- blockage modeling, Energy harvesting, Internet of Things, mmWave, reconfigurable intelligent surface, stochastic geometry
- KSP Keywords
- Budget constraints, Closed-form expressions, Energy availability, Energy sustainability, IoT network, Line of sight(LOS), Mathematical model, Non-line-of-sight(NLOS), Numerical results, Propagation loss, Stochastic geometry
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
