Explanipedia

LLM Enabled Beam Training for Pinching Antenna Systems (PASS) Open

Deqiao Gan, Xiaoxia Xu, Xiaohu Ge, Yuanwei Liu · 2025

To enable intelligent beam training, a large language model (LLM)-enabled beam training framework is proposed for the pinching antenna system (PASS) in downlink multi-user multiple-input multiple-output (MIMO) communications. A novel LLM-b…

Channel-Aware Vector Quantization for Robust Semantic Communication on Discrete Channels Open

Zian Meng, Qiang Li, W.H. Wilson Tang, Mengyi Yan, Xiaohu Ge · 2025

Deep learning-based semantic communication has largely relied on analog or semi-digital transmission, which limits compatibility with modern digital communication infrastructures. Recent studies have employed vector quantization (VQ) to en…

Joint Beamforming for NOMA Assisted Pinching Antenna Systems (PASS) Open

Deqiao Gan, Xiaoxia Xu, Jiakuo Zuo, Xiaohu Ge, Yuanwei Liu · 2025

Pinching antenna system (PASS) configures the positions of pinching antennas (PAs) along dielectric waveguides to change both large-scale fading and small-scale scattering, which is known as pinching beamforming. A novel non-orthogonal mul…

Modeling and optimization of power consumption for multi-core processors: A thermodynamic perspective Open

X. F. Peng, Litao Yan, Qiang Li, Xiaohu Ge, Yonghui Li · 2025

Integrating distributed photovoltaic and energy storage in 5G networks for sustainable IoT applications Open

Yi Zhong, Yiting Wu, Yi Zheng, Xiaohu Ge · 2025

The rapid growth of the Internet of Things (IoT) has led to an exponential increase in connected devices, creating significant challenges for the energy efficiency of 5G networks. These networks, essential for supporting massive Machine Ty…

Efficient Spatial Channel Estimation in Extremely Large Antenna Array Communication Systems: A Subspace Approximated Matrix Completion Approach Open

Zhiwei Chen, Quanfeng Yao, Yi Zhong, Junliang Ye, Xiaohu Ge · 2025

Matrix completion techniques are widely employed to estimate the channel matrix from partially observed channel measurements. However, its computational complexity is cubic in the number of antennas, which is non-scalable for extremely lar…

Energy Consumption Modeling of 2-D and 3-D Decoder Circuits Open

Yan Xiao, Kai Cai, Xiaohu Ge, Yong Xiao · 2025

Energy consumption evaluation for data processing tasks, such as encoding and decoding, is a critical consideration in designing very large scale integration (VLSI) circuits. Incorporating both information theory and circuit perspectives, …

Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting Open

Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge · 2025

Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, Transformer is challenged in forecasting series wi…

Modeling and Optimization of Co-TDMA in Next-Generation Wi-Fi Systems Based on Optimal Transportation Theory Open

Junxiong Zhang, Weimin Wu, Xiaohu Ge, Yingzhuang Liu · 2025

The importance and commercial value of wireless fidelity (Wi-Fi) technology are now widely recognized. However, the traditional Wi-Fi technology causes the throughput of access points (APs) to quickly approaches a saturated level when the …

An energy and information analysis method of logic gates based on stochastic thermodynamics Open

Xiaohu Ge, Muyao Ruan, X. F. Peng, Yong Xiao, Yang Yang · 2024

To reduce the energy consumption of logic gates in digital circuits, the size of transistors approaches the mesoscopic scale, e.g. sub-7 nanometers. However, existing energy consumption analysis methods exhibit various deviation for logic …

Prompt-Assisted Semantic Interference Cancellation on Moderate Interference Channels Open

Zian Meng, Qiang Li, Ashish Pandharipande, Xiaohu Ge · 2024

The performance of conventional interference management strategies degrades when interference power is comparable to signal power. We consider a new perspective on interference management using semantic communication. Specifically, a multi…

A Thermodynamic Study on Information Power in Communication Systems Open

Litao Yan, Xiaohu Ge · 2024

Modern information theory pioneered by Shannon provides the mathematical foundation of information transmission and compression. However, the physical (and especially the energetic) nature of the information has been elusive. While the pro…

Time-Series Prediction of Electricity Load for Charging Piles in a Region of China Based on Broad Learning System Open

Liansong Yu, Xiaohu Ge · 2024

This paper introduces a novel electricity load time-series prediction model, utilizing a broad learning system to tackle the challenge of low prediction accuracy caused by the unpredictable nature of electricity load sequences in a specifi…

基于随机几何分布的新能源蜂窝网碳排放优化研究 Open

Jiachen Li, Kun Li, Xiaomeng Ai, Yi Zhong, Xiaohu Ge · 2024

随着无线通信系统中用户数量和通信数据量的不断增加,通信系统所消耗的能源量也在急剧增长,为了实现可持续发展并达成绿色通信目标,将可再生能源与电网能源相结合,并采用多源供电方式为蜂窝通信系统供电,成为一种具有前景的解决方案。本论文旨在针对实际场景下的太阳能生产情况,基于随机几何理论,建立精确的基站能耗模型以及新能源捕获模型。进一步,提出了一种基于非平衡最优传输的启发式基站间新能源调度算法,以达到提高新能源利用率,降低网络碳排放率的效果。该算法有效降低了通信系统对电网能源的依赖…

Benefit Allocation Model for Distributed Electric Vehicle Using a Shapley-Value Approach Open

Sike Wang, Liansong Yu, Peng Cao, Xiaohu Ge, Huafeng Hu , et al. · 2024

This paper proposes a benefit allocation model for distributed electric vehicle. It considers the cooperative relationships between the stakeholders innovatively. The stakeholders consist of vehicles, charging piles, and power grids. The b…

A Scheme for Charging Load Prediction of EV Based on Fuzzy Theory Open

Sike Wang, Liansong Yu, Peng Cao, Huafeng Hu, Bo Pang , et al. · 2024

With the development of the electric vehicle industry, the increasing charging load of electric vehicles has brought enormous pressure to urban distribution networks, affecting their safety and efficiency. Therefore, the power system needs…

Delay-Aware Online Resource Allocation for Buffer-Aided Synchronous Federated Learning Over Wireless Networks Open

Jing Liu, Jinke Zheng, Jing Zhang, Lin Xiang, Derrick Wing Kwan Ng , et al. · 2024

Synchronous federated learning (FL) over wireless networks often suffers from the straggler effect, when the time required for training local models and uploading trained parameters varies significantly across heterogeneous wireless device…

Entropy Production-Based Energy Efficiency Optimization for Wireless Communication Systems Open

Litao Yan, Xiaohu Ge · 2024

The relationship between energy dissipation and information has been extensively studied in the emerging field of stochastic thermodynamics, where entropy production plays a core role in measuring the energy loss of irreversible processes.…

Joint Optimization on Mode Switching and Power Adaptation in Semantic-Assisted Hybrid NOMA Open

Wenqian Tang, Ronghua Liu, Qiang Li, Zian Meng, Ashish Pandharipande , et al. · 2024

In this paper, a semantic-assisted hybrid non-orthogonal multiple access (NOMA) is investigated, in which a secondary far user (F-user) wishes to transmit to a common access point simultaneously with a primary near user (N-user) in the sam…

Cooperative Semantic Communication With On-Demand Semantic Forwarding Open

Bing Tang, Likun Huang, Qiang Li, Ashish Pandharipande, Xiaohu Ge · 2023

In this paper, a deep learning-based cooperative semantic communication system is proposed on relay channels. In order to enhance the reliability and adaptability of the system to varying channel conditions, an on-demand semantic forwardin…

Novel roles of bovine milk‐derived exosomes in skin antiaging Open

Lu Lu, Wei Bai, Miao Wang, Chunle Han, Huanqing Du , et al. · 2023

Background Exosomes are small vesicles released from cells and are found in various mammalian biological fluids, such as bovine milk, which has been employed in skincare for many years, apart from its dairy applications. In addition, exoso…

Beam management optimization for V2V communications based on deep reinforcement learning Open

Junliang Ye, Xiaohu Ge · 2023

Intelligent connected vehicles have garnered significant attention from both academia and industry in recent years as they form the backbone of intelligent transportation and smart cities. Vehicular networks now exchange a range of mixed i…

Toward Net-Zero Carbon Emissions in Network AI for 6G and Beyond Open

Peng Zhang, Yong Xiao, Yingyu Li, Xiaohu Ge, Guangming Shi , et al. · 2023

A global effort has been initiated to reduce the worldwide greenhouse gas\n(GHG) emissions, primarily carbon emissions, by half by 2030 and reach net-zero\nby 2050. The development of 6G must also be compliant with this goal.\nUnfortunatel…

Issue Information Open

Mohamed Ahmed, Habib Ammari, Μάρκος Αναστασόπουλος, Hamid R. Arabnia, Zhiquan Bai , et al. · 2023

No abstract is available for this article.

Information Energy Ratio of XOR Logic Gate at Mesoscopic Scale Open

Xiaohu Ge, Muyao Ruan, Xiaoxuan Peng, Yong Xiao, Yang Yang · 2023

As the size of transistors approaches the mesoscopic scale, existing energy consumption analysis methods exhibit various limits, especially when being applied to describe the non-equilibrium information processing of transistors at ultra-l…

Issue Information Open

Mohamed Ahmed, Habib Ammari, Μάρκος Αναστασόπουλος, Hamid R. Arabnia, Zhiquan Bai , et al. · 2023

No abstract is available for this article.

Issue Information Open

Mohamed Ahmed, Habib Ammari, Μάρκος Αναστασόπουλος, Hamid R. Arabnia, Zhiquan Bai , et al. · 2023

No abstract is available for this article.

Entropy-Based Energy Dissipation Analysis of Mobile Communication Systems Open

Litao Yan, Xiaohu Ge · 2023

Compared with the energy efficiency of conventional mobile communication systems, the energy efficiency of fifth generation (5G) communication systems has been improved more than 30 times. However, the energy consumption of 5G communicatio…

The novel roles of bovine milk-derived exosomes on skin anti-aging Open

Lu Lu, Wei Bai, Miao Wang, Chunle Han, Huanqing Du , et al. · 2023

Exosomes are small vesicles released from cells and present in various mammal biological fluids, such as bovine milk, which worked for skin care for many years besides dairy. In addition, Exosomes were regarded as a vehicle for intercellul…

Issue Information Open

Mohamed H. Ahmed, Habib Ammari, Μάρκος Αναστασόπουλος, Hamid R. Arabnia, Zhiquan Bai , et al. · 2023

No abstract is available for this article.

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