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Lei Guo - IEEE Xplore Author Profile

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A compact dual-parameter optical fiber sensor combining Surface Plasmon Resonance (SPR) and Lossy Mode Resonance (LMR) technologies was proposed for the simultaneous measurement of liquid refractive index (RI) and temperature. The sensor uses an Au film deposited on one side of a D-shaped quartz no-core optical fiber to excite SPR for RI measurement, and a TiO2 film deposited on the other side whi...Show More
In the Internet of Everything (IoE) era, reconfigurable intelligent surfaces (RISs) and mobile edge computing (MEC) have emerged as crucial enabling technologies to support delay-sensitive and computation-intensive IoE services. Despite the potentials of RISs and MEC, achieving efficient service provisioning in IoE scenarios still faces significant challenges due to interdependencies among differe...Show More
In this paper, we propose a hierarchical optimization approach that guarantees the maximum age of information (AoI) for unmanned aerial vehicle (UAV) assisted Internet-of-Things (IoT) data collection. Our model is based on an energy-efficient simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) beamforming model. We formulate the optimization to minimize the UAV...Show More
Symbiotic Radio (SR) presents an innovative wireless paradigm that simultaneously supports active primary and passive secondary transmissions. This technology significantly enhances spectrum and energy efficiency in network scenarios that support data transmission from a large number of Internet-of-Things (IoT) devices. Nonetheless, the received backscatter signal experiences attenuation due to th...Show More
In scalable all-optical Data Center Networks (DCNs), failure localization of optical switches remains as a great challenge due to the imperceptibility of MEMS-based optical switches inside the fabric. Existing works only focus on failure localization of optical link in the network, but without considering optical switches inside the switch fabrics. In this paper, we carry out a joint design to tak...Show More
In the realm of autonomous driving, cooperative perception serves as a crucial technology for mitigating the inherent constraints of individual vehicle's perception. To enable cooperative perception, vehicle-to-vehicle (V2V) communication plays an indispensable role. Unfortunately, owing to weak virus protection in V2V networks, the emergence and widespread adoption of V2V communications have also...Show More
This paper aims to tackle the issue of risk-avoid lightpath provision in multi-domain space division multiplexing (SDM) elastic optical data center networks (SDM-EODCNs). The service requests are categorized as intra-domain or inter-domain, and inter-domain requests are further classified as trusted or untrusted. A system model is presented, including a network model, a service request model, an i...Show More
We propose Machine Learning-based Monitoring Trail (mlm-trail) to monitor optical path failures for large model training. Existing monitoring trail (m-trail) method can only localize optical link failures, whereas mlm-trail differs from it by combining with machine learning and providing bidirectional voltage constraint. mlm-trail can provide fast, accurate and integrated failure localization of b...Show More
The development of Internet of Things (IoT) technology has led to the emergence of a large number of Intelligent Sensing Devices (ISDs). Since their limited physical sizes constrain the battery capacity, wireless powered IoT networks assisted by Unmanned Aerial Vehicles (UAVs) for energy transfer and data acquisition have attracted great interest. In this paper, we formulate an optimization proble...Show More
Free-space optical (FSO) technologies face significant challenges from atmospheric turbulence, which can degrade transmission performance. Adaptive optics (AO) techniques offer a promising solution by compensating for turbulence-induced optical aberrations in real-time. In this paper, we propose a deep learning-based AO compensation scheme utilizing a mixed convolutional channel attention predicti...Show More
The development of the Internet of Things and edge computing has promoted research on visible light positioning. Although the photodiode-based (PD-based) visible light positioning system can achieve low-cost positioning, problems exist, such as significant positioning errors, inconvenient receivers, and high power consumption. Therefore, in this paper, we propose a high-precision indoor visible li...Show More
The development of edge computing has promoted synaesthesia and intelligence integration. Visible light communication (VLC) systems as the broad communication medium, it focuses on the channel characteristics or the transmission rate limit. There is little research on VLC under low light conditions. This is because weak light signals are challenging to detect. Therefore, we propose an indoor low-l...Show More
Distributed deep reinforcement learning (DRL) has emerged as a powerful tool for 6G applications in vehicular networks (VNs). To cope with the negative impact on training efficiency by the diversity in computing capability at each vehicle, we propose a hybrid sharing scheme, where experience sharing and gradient sharing modes coexist and are adaptively adopted in different computing and communicat...Show More
Optical networks-on-chips (ONoCs) have emerged as the most promising solution for on-chip interconnection networks, offering distinct advantages such as high bandwidth and low latency. However, traditional wired-based ONoCs often suffer from a high average number of hops, leading to challenges such as increased insertion loss, crosstalk noise, and energy consumption. Therefore, this paper presents...Show More
Federated learning (FL) can significantly empower the Internet of Vehicles (IoV) by utilizing in-vehicle communications resources and data to construct high-quality models. In this letter, focusing on improving the training efficiency of FL in the IoV scenario with heterogeneous in-vehicle communications resources and datasets, we propose a dynamic clustering-based hierarchical FL scheme. Specific...Show More
The indoor imaging visible light positioning (VLP) technology based on the image sensor (IS) utilizes existing indoor lighting infrastructure to provide high-precision indoor positioning services. However, due to the high complexity of traditional image processing algorithms, existing VLP systems are unable to provide real-time positioning services. In response to the above issue, we propose an im...Show More
Visible light communication (VLC) is widely used in communication systems due to its high transmission rate and strong resistance to electromagnetic interference characteristics. However, smoke in the environment can affect the visible light channel, which reduces transmission distance and even results in communication failure. Therefore, we propose a VLC system to analyze the communication perfor...Show More
With the surge in the number of Internet of Things (IoT) devices and latency-sensitive services such as smart cities and smart factories, Next Generation Multiple Access (NGMA) technologies (e.g., Intelligent Reflecting Surface (IRS) and millimeter wave), which can efficiently process a large number of user accesses and low-latency services, have gained much attention. Among them, due to the abili...Show More
Multi-access edge computing (MEC) is a powerful technology that facilitates the provision of services to 6G users with ultra-low latency and high reliability, particularly in supporting artificial intelligence (AI) applications that rely on distributed machine learning (DL). However, the mobility of users poses challenges in offloading DL tasks to the MEC networks while ensuring satisfactory delay...Show More
With the development of 6G technology, Reconfigurable Intelligent Surface (RIS), as one of the core technologies, has received wide attention in recent years. It not only improves the performance of the wireless communication system but also constructs a new localization scenario that utilizes the RIS as assistance. The RIS-aided positioning system can improve the localization performance of the N...Show More
In this article, we propose a method to encrypt the permutation information (PI) and insert the synchronization head based on digital chaos and constellation shaping for orthogonal frequency division multiplexing-free space optical (OFDM-FSO) communication. Probabilistic shaping technology can improve laser emission efficiency, but it will generate the PI, which, transmitted separately, will occup...Show More
Reconfigurable metasurfaces (R-MTSs) exhibit significant potential for wireless optical switching due to their compact size and rapid beam switching capabilities. However, conventional R-MTSs based on micro-electro-mechanical systems, electrochemical, or chemical reactions often suffer from high losses and bulky dimensions. In this study, we propose a novel R-MTS design utilizing the low-loss phas...Show More
Mobile edge computing (MEC) pushes computing and caching resources close to the network edge, which allows devices to offload computation-intensive tasks to MEC servers. Considering that wireless signals may be easily blocked by obstacles, reconfigurable intelligent surface (RIS) has emerged as a promising technique to improve the efficiency of computation offloading. In this article, we consider ...Show More
Integration of sensing and communication (ISAC) is pivotal for realizing the full spectrum of 6G networks, where aerial networks composed of unmanned aerial vehicles (UAVs) emerge as significant enhancers by establishing line-of-sight connections and increasing the coverage of terrestrial networks. Although network slicing can cater to diverse ISAC applications, strategies specifically for ISAC re...Show More