Yunlong Cai
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View article: Bilevel Optimization for ISAC Systems with Proactive Eavesdropping Capabilities
Bilevel Optimization for ISAC Systems with Proactive Eavesdropping Capabilities Open
Integrated sensing and communication (ISAC) has attracted extensive attention as a key technology to improve spectrum utilization and system performance for future wireless sensor networks. At the same time, active surveillance, as a legit…
View article: Quantize-Sample-and-Verify: LLM Acceleration via Adaptive Edge-Cloud Speculative Decoding
Quantize-Sample-and-Verify: LLM Acceleration via Adaptive Edge-Cloud Speculative Decoding Open
In edge-cloud speculative decoding (SD), edge devices equipped with small language models (SLMs) generate draft tokens that are verified by large language models (LLMs) in the cloud. A key bottleneck in such systems is the limited communic…
View article: Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission
Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission Open
Event cameras asynchronously capture pixel-level intensity changes with extremely low latency. They are increasingly used in conjunction with RGB cameras for a wide range of vision-related applications. However, a major challenge in these …
View article: Comparative Study of YOLOv11, SSD, and Fast RNN for Nighttime Face Detection on the DarkFace Dataset
Comparative Study of YOLOv11, SSD, and Fast RNN for Nighttime Face Detection on the DarkFace Dataset Open
Object detection in low-light scenarios has always been a challenge. The detector, which was been trained in a well-illuminated dataset, presents lower performance in low-light scenarios. This is mainly due to factors such as low image vis…
View article: Learned Image Transmission with Hierarchical Variational Autoencoder
Learned Image Transmission with Hierarchical Variational Autoencoder Open
In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC) framework for image transmission, utilizing a hierarchical variational autoencoder (VAE). Our approach leverages a combination of bottom-up and top-…
View article: Next Generation Advanced Transceiver Technologies for 6G and Beyond
Next Generation Advanced Transceiver Technologies for 6G and Beyond Open
International audience
View article: Joint Transmission and Deblurring: A Semantic Communication Approach Using Events
Joint Transmission and Deblurring: A Semantic Communication Approach Using Events Open
Deep learning-based joint source-channel coding (JSCC) is emerging as a promising technology for effective image transmission. However, most existing approaches focus on transmitting clear images, overlooking real-world challenges such as …
View article: ROME: Robust Model Ensembling for Semantic Communication Against Semantic Jamming Attacks
ROME: Robust Model Ensembling for Semantic Communication Against Semantic Jamming Attacks Open
Recently, semantic communication (SC) has garnered increasing attention for its efficiency, yet it remains vulnerable to semantic jamming attacks. These attacks entail introducing crafted perturbation signals to legitimate signals over the…
View article: Towards Compatible Semantic Communication: A Perspective on Digital Coding and Modulation
Towards Compatible Semantic Communication: A Perspective on Digital Coding and Modulation Open
Semantic communication (SC) is emerging as a pivotal innovation within the 6G framework, aimed at enabling more intelligent transmission. This development has led to numerous studies focused on designing advanced systems through powerful d…
View article: Meta-Learning-Driven Adaptive Codebook Design for Near-Field Communications
Meta-Learning-Driven Adaptive Codebook Design for Near-Field Communications Open
Extremely large-scale arrays (XL-arrays) and ultra-high frequencies are two key technologies for sixth-generation (6G) networks, offering higher system capacity and expanded bandwidth resources. To effectively combine these technologies, i…
View article: Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models
Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models Open
Recent advances in deep learning-based joint source-channel coding (DJSCC) have shown promise for end-to-end semantic image transmission. However, most existing schemes primarily focus on optimizing pixel-wise metrics, which often fail to …
View article: Learned Image Transmission with Hierarchical Variational Autoencoder
Learned Image Transmission with Hierarchical Variational Autoencoder Open
In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC) framework for image transmission, utilizing a hierarchical variational autoencoder (VAE). Our approach leverages a combination of bottom-up and top-…
View article: Two-Timescale Design for Movable Antenna Array-Enabled Multiuser Uplink Communications
Two-Timescale Design for Movable Antenna Array-Enabled Multiuser Uplink Communications Open
Movable antenna (MA) technology can flexibly reconfigure wireless channels by adjusting antenna positions in a local region, thus owing great potential for enhancing communication performance. This letter investigates MA technology enabled…
View article: Multi-Agent DRL for task offloading with delay reliability assurances in ris-aided MEC in UDN
Multi-Agent DRL for task offloading with delay reliability assurances in ris-aided MEC in UDN Open
This paper focuses on the scenario where Reconfigurable Intelligent Surfaces (RISs) are introduced in ultra-dense networks (UDN) to guarantee the transmission performance of task offloading of users in Mobile Edge Computing (MEC). Consider…
View article: From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication
From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication Open
Recent studies in joint source-channel coding (JSCC) have fostered a fresh paradigm in end-to-end semantic communication. Despite notable performance achievements, present initiatives in building semantic communication systems primarily hi…
View article: Movable Antennas-Enabled Two-User Multicasting: Do We Really Need Alternating Optimization for Minimum Rate Maximization?
Movable Antennas-Enabled Two-User Multicasting: Do We Really Need Alternating Optimization for Minimum Rate Maximization? Open
Movable antenna (MA) technology, which can reconfigure wireless channels by flexibly moving antenna positions in a specified region, has great potential for improving communication performance. In this paper, we consider a new setup of MAs…
View article: Movable Antennas-Assisted Secure Transmission Without Eavesdroppers' Instantaneous CSI
Movable Antennas-Assisted Secure Transmission Without Eavesdroppers' Instantaneous CSI Open
Movable antenna (MA) technology is highly promising for improving communication performance, due to its advantage of flexibly adjusting positions of antennas to reconfigure channel conditions. In this paper, we investigate MAs-assisted sec…
View article: Next Generation Advanced Transceiver Technologies for 6G and Beyond
Next Generation Advanced Transceiver Technologies for 6G and Beyond Open
To accommodate new applications such as extended reality, fully autonomous vehicular networks and the metaverse, next generation wireless networks are going to be subject to much more stringent performance requirements than the fifth-gener…
View article: A Survey on Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks
A Survey on Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks Open
Wireless networks are increasingly relying on machine learning (ML) paradigms to provide various services at the user level. Yet, it remains impractical for users to offload their collected data set to a cloud server for centrally training…
View article: Fluid Antennas-Enabled Multiuser Uplink: A Low-Complexity Gradient Descent for Total Transmit Power Minimization
Fluid Antennas-Enabled Multiuser Uplink: A Low-Complexity Gradient Descent for Total Transmit Power Minimization Open
We investigate multiuser uplink communication from multiple single-antenna users to a base station (BS), which is equipped with a movable-antenna (MA) array and adopts zero-forcing receivers to decode multiple signals. We aim to optimize t…
View article: Movable-Antenna-Array-Enabled Communications with CoMP Reception
Movable-Antenna-Array-Enabled Communications with CoMP Reception Open
We consider the movable-antenna (MA) arrayenabled wireless communication with coordinate multi-point (CoMP) reception, where multiple destinations adopt the maximal ratio combination technique to jointly decode the common message sent from…
View article: Intelligent Reflecting Surface-Aided Wireless Communication with Movable Elements
Intelligent Reflecting Surface-Aided Wireless Communication with Movable Elements Open
Intelligent reflecting surface (IRS) has been recognized as a powerful technology for boosting communication performance. To reduce manufacturing and control costs, it is preferable to consider discrete phase shifts (DPSs) for IRS, which a…
View article: Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments Open
With the great success of deep learning (DL) in image classification, speech recognition, and other fields, more and more studies have applied various neural networks (NNs) to wireless resource allocation. Generally speaking, these artific…
View article: One-shot Learning for Channel Estimation in Massive MIMO Systems
One-shot Learning for Channel Estimation in Massive MIMO Systems Open
In conventional supervised deep learning based channel estimation algorithms, a large number of training samples are required for offline training. However, in practical communication systems, it is difficult to obtain channel samples for …
View article: Rate-Adaptive Coding Mechanism for Semantic Communications With Multi-Modal Data
Rate-Adaptive Coding Mechanism for Semantic Communications With Multi-Modal Data Open
Recently, the ever-increasing demand for bandwidth in multi-modal communication systems requires a paradigm shift. Powered by deep learning, semantic communications are applied to multi-modal scenarios to boost communication efficiency and…
View article: Joint Pilot Optimization, Target Detection and Channel Estimation for Integrated Sensing and Communication Systems
Joint Pilot Optimization, Target Detection and Channel Estimation for Integrated Sensing and Communication Systems Open
Radar sensing will be integrated into the 6G communication system to support various applications. In this integrated sensing and communication system, a radar target may also be a communication channel scatterer. In this case, the radar a…
View article: Joint Pilot Optimization, Target Detection and Channel Estimation for\n Integrated Sensing and Communication Systems
Joint Pilot Optimization, Target Detection and Channel Estimation for\n Integrated Sensing and Communication Systems Open
Radar sensing will be integrated into the 6G communication system to support\nvarious applications. In this integrated sensing and communication system, a\nradar target may also be a communication channel scatterer. In this case, the\nrada…
View article: DDPG-Driven Deep-Unfolding With Adaptive Depth for Channel Estimation With Sparse Bayesian Learning
DDPG-Driven Deep-Unfolding With Adaptive Depth for Channel Estimation With Sparse Bayesian Learning Open
Deep-unfolding neural networks (NNs) have received great attention since they achieve satisfactory performance with relatively low complexity. Typically, these deep-unfolding NNs are restricted to a fixed-depth for all inputs. However, the…
View article: Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding Open
In this paper, we propose an end-to-end deep learning-based joint transceiver design algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, which consists of deep neural network (DNN)-aided pilot trai…