Peiyuan Si

ORCID: 0000-0002-0739-0107
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About
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Research Areas
  • UAV Applications and Optimization
  • Advanced Wireless Communication Technologies
  • Energy Harvesting in Wireless Networks
  • Advanced MIMO Systems Optimization
  • Adversarial Robustness in Machine Learning
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Virtual Reality Applications and Impacts
  • Image and Video Quality Assessment
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Air Traffic Management and Optimization
  • Robotics and Automated Systems
  • Topic Modeling
  • Wireless Communication Security Techniques
  • Advanced Memory and Neural Computing
  • Mathematical Approximation and Integration
  • Distributed Control Multi-Agent Systems
  • Cooperative Communication and Network Coding
  • Distributed systems and fault tolerance
  • Vehicular Ad Hoc Networks (VANETs)
  • Opportunistic and Delay-Tolerant Networks
  • Advanced Data Compression Techniques
  • Matrix Theory and Algorithms
  • Cognitive Radio Networks and Spectrum Sensing

Nanyang Technological University
2022-2025

Zhejiang University of Technology
2018-2021

Internet of Things (IoT) is able to provide various physical objects exchange their information through the 6G wireless communication network. However, with large increasing number IoT devices (IoDs), deployment IoDs faces two basic challenges, i.e., spectrum scarcity and energy limitation. Cooperative sharing simultaneous power transfer (SWIPT) effective ways improve efficiency. In this article, SWIPT cooperative methods are proposed efficiency for 6G-enabled cognitive network, in which...

10.1109/jiot.2020.3026730 article EN IEEE Internet of Things Journal 2020-09-25

With the development of blockchain and communication techniques, Metaverse is considered as a promising next-generation Internet paradigm, which enables connection between reality virtual world. The key to rendering world provide users with immersive experiences avatars, based on (VR) technology high data transmission rate. However, current VR devices require intensive computation communication, suffer from delay while using wireless devices. To build technologies, mobile augmented (MAR)...

10.1109/globecom48099.2022.10001548 article EN GLOBECOM 2022 - 2022 IEEE Global Communications Conference 2022-12-04

The Internet of Things (IoT) is playing an increasingly vital role in multiple industries and our everyday life. A pressing practical problem IoT devices (IoT-Ds) their explosive growth connectivity which leads to large energy consumption. One the most promising solutions achieve a sustainable green network unmanned aerial vehicle (UAV) enabled wireless power transfer (WPT) due its flexibility, mobility cost advantage. In this paper, we propose UAV-powered based on Orthogonal Frequency...

10.1109/tgcn.2021.3085747 article EN IEEE Transactions on Green Communications and Networking 2021-06-03

Unmanned aerial vehicles (UAVs) are promising for providing communication services due to their advantages in cost and mobility, especially the context of emerging Metaverse Internet Things (IoT). This article considers a UAV-assisted network, which UAVs extend coverage base station (BS) collect data generated at roadside units (RSUs). Specifically, improve collection efficiency, resource allocation trajectory control integrated into system model. The time-dependent nature optimization...

10.1109/mnet.011.2300032 article EN IEEE Network 2023-07-01

6G IoT networks aim for providing significantly higher data rates and extremely lower latency. However, due to the increasingly scarce spectrum bands ever-growing massive number devices (IoDs) deployed, face two critical challenges, i.e., energy limitation severe signal attenuation. Simultaneous wireless information power transfer (SWIPT) cooperative relaying provide effective ways address these challenges. In this paper, we investigate self-sustainability (ESS) of network propose an OFDM...

10.23919/jcc.2020.12.006 article EN China Communications 2020-12-01

The internet of things (IoT) is becoming more indispensable in modern society as the further development and maturity information technology progresses. However exponential growth IoT devices leads to severe energy consumption. As a with broad application prospects, simultaneous wireless power transfer (SWIPT) enables harvest from receiving radio frequency (RF) signals while ensuring transmission. In this paper, we investigate transmission rate optimization problem for dual-hop multi-relay...

10.3390/s19112536 article EN cc-by Sensors 2019-06-03

Metaverse is expected to create a virtual world closely connected with reality provide users immersive experience the support of 5G high data rate communication technique. A huge amount in physical needs be synchronized for users, and there will higher requirements on coverage include more into Metaverse. However, signal suffers severe attenuation, which makes it expensive maintain same coverage. Unmanned aerial vehicle (UAV) promising candidate technique future implementation as low-cost...

10.48550/arxiv.2301.01474 preprint EN other-oa arXiv (Cornell University) 2023-01-01

In this paper, we aim to explore the use of uplink semantic communications with assistance UAV in order improve data collection effiicency for metaverse users remote areas. To reduce time while balancing trade-off between reconstruction quality and computational energy cost, propose a hybrid action reinforcement learning (RL) framework make decisions on model scale, channel allocation, transmission power, trajectory. The variables are classified into discrete type continuous type, which...

10.1109/globecom54140.2023.10437643 article EN GLOBECOM 2022 - 2022 IEEE Global Communications Conference 2023-12-04

In this paper we study interference reducing and resource allocation in Unmanned aerial vehicle (UAV) wireless powered communication system with two UAVs ground nodes (GNs). existing scenarios exists at the receiver because multiple GNs transmit information same time. order to reduce receiver, a new scenario is proposed paper. scenario, one GN while another receiving energy. Minimum uplink throughput maximized by optimizing trajectory of allocation. The optimization problem decomposed into...

10.1109/iwcmc48107.2020.9148329 article EN 2022 International Wireless Communications and Mobile Computing (IWCMC) 2020-06-01

10.1109/twc.2024.3433479 article IEEE Transactions on Wireless Communications 2024-01-01

In communication networking, optimization is essential in enhancing performance metrics, e.g., network utility. These problems often involve sum-of-products (or ratios) terms, which are typically non-convex and NP-hard, posing challenges their solution. Recent studies have introduced transformative techniques, mainly through quadratic parametric convex transformations, to solve these efficiently. Based on them, this paper introduces novel decoupling techniques bounds for handling...

10.48550/arxiv.2412.05828 preprint EN arXiv (Cornell University) 2024-12-08

Unmanned aerial vehicles (UAVs) are promising for providing communication services due to their advantages in cost and mobility, especially the context of emerging Metaverse Internet Things (IoT). This paper considers a UAV-assisted network, which UAVs extend coverage base station (BS) collect data generated at roadside units (RSUs). Specifically, improve collection efficiency, resource allocation trajectory control integrated into system model. The time-dependent nature optimization problem...

10.48550/arxiv.2305.18481 preprint EN cc-by arXiv (Cornell University) 2023-01-01

In this paper, we aim to explore the use of uplink semantic communications with assistance UAV in order improve data collection effiicency for metaverse users remote areas. To reduce time while balancing trade-off between reconstruction quality and computational energy cost, propose a hybrid action reinforcement learning (RL) framework make decisions on model scale, channel allocation, transmission power, trajectory. The variables are classified into discrete type continuous type, which...

10.48550/arxiv.2309.16713 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Recently, Graph Neural Networks (GNNs), including Homogeneous (HomoGNNs) and Heterogeneous (HeteGNNs), have made remarkable progress in many physical scenarios, especially communication applications. Despite achieving great success, the privacy issue of such models has also received considerable attention. Previous studies shown that given a well-fitted target GNN, attacker can reconstruct sensitive training graph this model via inversion attacks, leading to significant worries for AI...

10.48550/arxiv.2310.09800 preprint EN other-oa arXiv (Cornell University) 2023-01-01

As wireless communication technology keeps progressing, people’s requirements for quality are getting higher and higher. Wireless brings convenience, but also causes some problems. On the one hand, traditional static fixed spectrum allocation strategy leads to high wastefulness of resources. The direction improving utility resources by combining advantages cooperative cognitive radio has attracted attention many scholars. other security is becoming an important issue because broadcasting...

10.3390/s19194142 article EN cc-by Sensors 2019-09-24

With the development of blockchain and communication techniques, Metaverse is considered as a promising next-generation Internet paradigm, which enables connection between reality virtual world. The key to rendering world provide users with immersive experiences avatars, based on (VR) technology high data transmission rate. However, current VR devices require intensive computation communication, suffer from delay while using wireless devices. To build technologies, mobile augmented (MAR)...

10.48550/arxiv.2209.13871 preprint EN cc-by arXiv (Cornell University) 2022-01-01

The massive and pervasive deployment of sensors for information collecting in IoT networks result to the scarcity energy. Unmanned aerial vehicle (UAV) enabled wireless power transfer (WPT) is a feasible solution provide energy pervasively deployed sensors. In this paper, we propose an orthogonal frequency division multiplexing (OFDM) based interference reducing scheme with trajectory resource optimization UAV-powered networks. simulation results show that our proposed outperforms two...

10.23919/ursigass51995.2021.9560625 article EN 2021-08-28
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