IEEE

Large Language Models and Rule-Based Approaches in Domain-Specific Communication

Abstract: Currently, we are once again experiencing a frenzy related to artificial intelligence. Generative Pre-trained Transformers (GPT) models are highly effective at various natural language ...
IEEE

Building a Hierarchical Architecture and Communication Model for the Quantum Internet

Abstract: The research of architecture has tremendous significance in realizing quantum Internet. Although there is not yet a standard quantum Internet architecture, the distributed architecture is ...
IEEE

EI-Drive: A Platform for Cooperative Perception With Realistic Communication Models

Abstract: The growing interest in autonomous driving calls for realistic simulation platforms capable of accurately simulating cooperative perception process in realistic traffic scenarios. Existing ...
IEEE

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
IEEE

Reduced-Complexity CRB Optimization for Dual-Function Radar-Communication Systems Using Hybrid Linear-Nonlinear Precoding

Abstract: This paper proposes a waveform design technique for dual-function radar-communication (DFRC) systems that employ hybrid linear-nonlinear precoding (HLNP). The HLNP signal is a superposition ...
IEEE

An Effective Tree-Structured AI Model for Reducing Overhead of Life Cycle Management in Wireless Communication

Abstract: Artificial intelligence (AI) has been widely applied across various industries, including wireless communication. AI has been a topic of extensive discussion within the 3rd Generation ...
IEEE

Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks

Abstract: Artificial intelligence generated content (AIGC) technologies, with a predominance of large language models (LLMs), have demonstrated remarkable performance improvements in various ...
IEEE

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...
IEEE

Rate-Adaptive Generative Semantic Communication Using Conditional Diffusion Models

Abstract: 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 ...
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
IEEE

Design of a Rectangular Linear Microstrip Patch Antenna Array for 5G Communication

Abstract: This paper presents the design and characterization of a rectangular microstrip patch antenna array optimized for operation within the Ku-band frequency range. The antenna array is impedance ...
IEEE

Ultraviolet Communication Power Control Based on Particle Swarm Optimization

Abstract: Ultraviolet (UV) communication has garnered considerable attention as a method utilizing UV particle scattering for signal transmission. However, the significant path loss due to scattering ...