Search Results for author: Haoran Peng

Found 6 papers, 4 papers with code

A Generalized Delay and Backlog Analysis for Multiplexing URLLC and eMBB: Reconfigurable Intelligent Surfaces or Decode-and-Forward?

1 code implementation IEEE Transactions on Wireless Communications 2023 Haoran Peng, Ching-Chieh Hsia, Zhu Han, and Li-Chun Wang

By creating multipath backscatter links and amplify signal strength, reconfigurable intelligent surfaces (RIS) and decode-and-forward (DF) relaying are shown to degrade the latency of the ultrareliable low-latency communications (URLLCs) and enhanced mobile broadband (eMBB) multiplexing system.

Scheduling

Energy Harvesting Reconfigurable Intelligent Surface for UAV Based on Robust Deep Reinforcement Learning

1 code implementation journal 2023 Haoran Peng, Li-Chun Wang

Integrating unmanned aerial vehicles with RIS (UAV–RIS) can offer ubiquitous deployment services in communication-disabled areas, but is limited by the on-board energy of the UAVs.

reinforcement-learning Reinforcement Learning (RL)

Long-Lasting UAV-aided RIS Communications based on SWIPT

1 code implementation IEEE Wireless Communications and Networking Conference (WCNC) 2022 Haoran Peng, Li-Chun Wang, Geoffrey Ye Li, Ang-Hsun Tsai

Reconfigurable intelligent surface (RIS) is a promising technology for energy efficient wireless communications and has drawn significant attention recently.

LEOPARD: Parallel Optimal Deep Echo State Network Prediction Improves Service Coverage for UAV-Assisted Outdoor Hotspots

1 code implementation IEEE Transactions on Cognitive Communications and Networking 2022 Haoran Peng, Ang-Hsun Tsai, Li-Chun Wang, Zhu Han

Unmanned aerial vehicle (UAV) base stations (BSs) can help meet the dynamic traffic demand of flash mobile crowds, but user movements also pose a significant challenge on fast-tracking for avoiding service interruption.

Bayesian Optimization

A Predictive On-Demand Placement of UAV Base Stations Using Echo State Network

no code implementations25 Sep 2019 Haoran Peng, Chao Chen, Chuan-Chi Lai, Li-Chun Wang, Zhu Han

In this paper, we propose a system framework consisting of UEs clustering, UAV-BS placement, UEs trajectories prediction, and UAV-BS reposition matching scheme, to serve the UEs seamlessly as well as minimize the energy cost of UAV-BSs' reposition trajectories.

Clustering

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