Generative AI-Based Channel Estimation Framework: CG-CGAN Thu, Aug 6 2026 Research wireless communication Generative artificial intelligence (GenAI) is reshaping wireless communications by moving beyond data-driven modeling to directly generating multiple components of the channel. This is especially important for millimeter wave (mmWave) massive MIMO (mMIMO) systems, where high-dimensional channels, low signal-to-noise ratio (SNR), and hybrid architectures make channel estimation difficult. Traditional compressed sensing (CS) and deep learning (DL) approaches are either too computationally heavy or not accurate enough. Our research introduces a generative learning framework that leverages user
Uniform Circular Arrays in Near-Field: Omnidirectional Coverage With Limited Capacity Wed, Aug 5 2026 Research wireless communication • Background: Ultra-massive MIMO in the radiative near-field uses spherical wavefronts to create finite-depth beams, separating users by distance and angle. Uniform Linear Arrays (ULAs) restrict finite-depth beams primarily to the boresight. Uniform Circular Arrays (UCAs) offer rotational symmetry, expanding angular coverage. Does the omnidirectional coverage of a UCA inherently translate into improved spatial multiplexing and sum-rate capacity compared to a ULA? • Methodology : Traditional Rayleigh distance overestimates the near-field region. We utilize the Effective Beamfocusing Rayleigh
AgriLink: Internet of Plants for Smart Agriculture Thu, Sep 25 2025 Research body area networks Dense vegetation severely attenuates 2.4–5 GHz RF links (additional foliage loss of order 1–3 dB/m, and often >30 dB across canopies), forcing higher transmit power or more relays in plant/greenhouse settings. In contrast, Plant-Body Communication (PBC) utilizes signals within the stem, where ionic pathways and distributed capacitances form a guided, low-radiation medium, thereby reducing path loss and environmental variability. We target two practical outcomes: 1. quantify and model the intra-plant channel across coupling modes (galvanic vs. capacitive), species (herbaceous Dieffenbachia vs
BioLink: Internet of Body via HBC for Healthcare Thu, Sep 25 2025 Research body area networks Human Body Communication (HBC) is an innovative technology that uses the human body itself as a transmission medium for data exchange. This approach enables secure, energy-efficient, and reliable communication between smart health sensors, wearable devices, and medical implants in and around the body. Unlike traditional wireless methods that rely on radio frequency signals prone to interference and privacy risks, HBC offers low power consumption, reduced signal loss, and enhanced data privacy by transmitting signals through direct skin or body tissue contact. This project focuses on advancing
Digital Twin For Outdoor Scenario Fri, Sep 12 2025 Research wireless communication In outdoor scenarios, DTs provide large-scale virtual replicas of urban or rural networks to optimize base station placement, manage mobility, and enhance vehicular or drone communications. These advantages make DTs a powerful tool for improving reliability, efficiency, and adaptability across diverse wireless environments. At CCSL, we investigate two specific DT scenarios for outdoor wireless cellular networks: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables the accurate
Digital Twin For RIS-Aided Systems Fri, Sep 12 2025 Research wireless communication Beyond 5G networks are expected to deliver ultra-reliable, low-latency, and high-capacity connectivity. One of the key enabling technologies for achieving these goals is a reconfigurable intelligent surface (RIS), which is a programmable metasurface composed of many passive elements, each capable of adjusting the phase of incident signals. By intelligently controlling these elements, RIS can manipulate wireless propagation environment to enhance coverage, increase capacity, and improve energy efficiency. To accurately model the behavior of RIS within complex and dynamic environments, digital
EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models Thu, Sep 25 2025 Research Applied Artificial Intelligence The deployment of language models is rapidly shifting from datacenters to edge devices such as laptops, smartphones, and embedded platforms, driven by the demand for interactive, low-latency, and privacy-preserving applications. In this context, Small Language Models (SLMs) have emerged as practical candidates, yet their inference reveals inefficiencies in conventional accelerators. While GPUs and NPUs process the GEMM-heavy prefill stage efficiently, they remain underutilized during the GEMV-dominated decoding phase, resulting in limited throughput and excessive energy consumption at the edge
Efficient AI Across Edge, Near-Edge, and Cloud Thu, Sep 25 2025 Research Applied Artificial Intelligence Modern applications — smart cameras, self-driving cars, AR/VR headsets, on-device assistants — depend on increasingly large AI models. The catch is that the appetite of these models is growing far faster than the hardware meant to run them, especially at the edge. Closing that gap is not just a matter of building bigger chips; it requires rethinking where each part of a model executes across the devices a user actually has access to. Our work develops two complementary frameworks that address this directly. DONNA decides how to split a model across heterogeneous devices — CPUs, GPUs, and
Multi-Target Detection and JVAR Estimation Wed, Sep 24 2025 Research wireless communication Integrated sensing and communication has been a key element towards the advancements of next generation wireless communication systems. Moreover, the convergence of radar and communication systems is rapidly gaining momentum as we advance towards beyond fifth-generation (5G) networks. A promising approach involves the utilization of existing 5G new radio 5G-NR control signals for sensing purposes. This approach exploits the periodic nature of such signals to collect environmental data without degrading the communication performance. Synchronization signal block (SSB) is the most popular
Multimodal Sensing for Indoor RIS-Aided Beam Selection Wed, Sep 24 2025 Research wireless communication In the 5G standard, beam sweeping is typically periodically executed through exhaustive search methods to maintain continuous alignment of user equipment (UE) and base station (BS) beamformers. In a reconfigurable intelligent surface (RIS)-aided massive MIMO (mMIMO) system, beam training is a daunting challenge as RIS codebook sizes are significantly larger compared to regular transceivers. To address the beam-training overhead, deep learning-based solutions have attracted great interest, enabling learning from data and adapting to dynamic conditions. The integration of multimodal sensing
On-Body HBC Networking Thu, Sep 25 2025 Research body area networks To advance innovations in next-generation Internet of Bodies (IoB) networks, there is a growing need for miniature, ultra-low-power devices capable of continuous and reliable operation. This need has led to a surge of interest in Human Body Communication (HBC), where nodes exchange messages directly through the human body as a secure and energy-efficient medium. With evidence showing that HBC can achieve up to 100× lower power consumption compared to conventional RF technologies, our research focuses on developing novel communication and networking techniques that facilitate connectivity over
Polar Codebook Design for Near-Field Communication Thu, Sep 25 2025 Research wireless communication As sixth-generation (6G) wireless networks approach, leveraging the mmWave and THz bands' abundant spectrum becomes crucial, promising ultra-high data rates and enabling immersive communication experiences. This transformation, characterized by the integration of ultra-massive MIMO (UM-MIMO) systems, facilitates significant increases in throughput and capacity by utilizing densely packed antenna arrays. The resulting shift from traditional far-field communication, with its planar wavefronts, to near-field communication, where spherical wavefronts predominate, necessitates a reevaluation of
Ultra-Low-Power HBC Transceiver ICs Thu, Sep 25 2025 Research body area networks The CCSL advances next-generation Human Body Communication (HBC) through innovative ASIC implementations that enable ultra-low power, secure, and efficient data transmission using the human body as a communication medium. Our research focuses on silicon-proven solutions that bridge the gap between theoretical HBC concepts and practical wearable/implantable applications. We develop mixed-signal transceivers that support multiple communication modes, adaptive signal processing, and AI-enhanced performance optimization. The lab's ASIC implementations demonstrate >100x energy efficiency
