# RIS-Assisted Proactive Handover for Reliable mmWave Wireless Networks

arXiv: https://arxiv.org/abs/2606.26885 · HTML: https://mlsanity.com/paper/2606.26885/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 18 of its 47 references that are in the map.
- First posted on arXiv 25 Jun 2026.

## Builds on (most cited first, 18 of 18)

- [Reconfigurable Intelligent Surfaces: Principles and Opportunities](https://mlsanity.com/paper/2007.03435/) (2020)
- [Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction](https://mlsanity.com/paper/1911.06255/) (2019)
- [ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications](https://mlsanity.com/paper/1911.06257/) (2019)
- [RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials](https://mlsanity.com/paper/2103.00534/) (2021)
- [Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization](https://mlsanity.com/paper/2007.08158/) (2020)
- [Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems](https://mlsanity.com/paper/2111.14805/) (2021)
- [Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces](https://mlsanity.com/paper/2002.04960/) (2020)
- [Environment-Aware Beam Selection for IRS-Aided Communication with Channel Knowledge Map](https://mlsanity.com/paper/2111.11289/) (2021)
- [Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications](https://mlsanity.com/paper/2301.00752/) (2023)
- [Machine Learning Empowered Beam Management for Intelligent Reflecting Surface Assisted MmWave Networks](https://mlsanity.com/paper/2003.01306/) (2020)
- [Fast Beam Training and Alignment for IRS-Assisted Millimeter Wave/Terahertz Systems](https://mlsanity.com/paper/2103.05812/) (2021)
- [Hybrid beamforming with dynamic subarrays and low-resolution PSs for mmWave MU-MISO systems](https://mlsanity.com/paper/1906.00543/) (2019)
- [Fast Beam Training for IRS-Assisted Multiuser Communications](https://mlsanity.com/paper/2005.11652/) (2020)
- [High-Resolution Programmable Scattering for Wireless Coverage Enhancement: An Indoor Field Trial Campaign](https://mlsanity.com/paper/2112.11194/) (2021)
- [Designing, Building, and Characterizing RF Switch-based Reconfigurable Intelligent Surfaces](https://mlsanity.com/paper/2207.07121/) (2022)
- [Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition](https://mlsanity.com/paper/2307.06834/) (2023)
- [Communicating with Large Intelligent Surfaces: Fundamental Limits and Models](https://mlsanity.com/paper/1912.01719/) (2019)
- [Blockage-Aware Robust Beamforming in RIS-Aided Mobile Millimeter Wave MIMO Systems](https://mlsanity.com/paper/2403.01249/) (2024)

## Abstract (arXiv)

Millimeter-wave (mmWave) networks are highly susceptible to line-of-sight (LoS) blockages. Vision-aided wireless communications (VAWC) enable proactive handovers (PHO) to mitigate such blockages; however, PHO becomes challenging when no nearby base station (BS) is available. In such cases, reconfigurable intelligent surfaces (RIS) can be used to restore connectivity. To ensure timely PHO, the RIS configuration time must be taken into account, as the large number of RIS elements can limit responsiveness in time-sensitive scenarios. This work proposes a novel RIS-assisted PHO approach that optimizes the number of allocated RIS elements to balance signal processing complexity and link quality under handover timing constraints, making the RIS-assisted link more energy-efficient. An optimization problem based on particle swarm optimization (PSO) is formulated to determine the optimal end-to-end RIS link setup that runs offline to bypass latency constraints. Results show that reducing the number of RIS elements by 12% leads to a 10% decrease in dissipated energy without compromising the signal-to-noise ratio (SNR). Moreover, the RIS-assisted link achieves a 15--30 dB improvement in blocked regions while maintaining accurate PHO timing.