IEEE

Model and Data Dual-Driven: A Promising Receiver Design for 6G Wireless Communications

Abstract: As an emerging paradigm for 6G intelligent communications, deep learning (DL) has delivered remarkable performance gains in physical layer communications and has found its way into many ...
IEEE

6G Network Architecture: QoS Paradigms and Data Lifecycle Management for Next-Generation Networks

Abstract: In contrast to the limited artificial intelligence (AI)-related research in fifth-generation networks, the usage scenarios of AI and communication in sixth-generation (6G) networks encourage ...
IEEE

Understanding Energy Efficiency in Communication Networks: Example of an Idealized 6G Base Station

Abstract: Energy efficiency (EE) metrics are important tools to support evaluation and management of communication networks, and are of key interest in the development of the upcoming 6G network ...
IEEE

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...
IEEE

An Error-Free and Reliable Data Communication Between People Using Human Body as a Network Medium

Abstract: This study presents the development and validation of a reliable and error-free data communication system using the human body as a network medium. By leveraging capacitive coupling as the ...
Microsoft

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL

Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...
IEEE

Throughput Improvement for RIS-Empowered Wireless Powered Anti-Jamming Communication Networks (WPAJCN)

Abstract: In this paper, we propose a reconfigurable intelligent surface (RIS)-aided wireless powered anti-jamming communication network (WPAJCN), where the RIS is utilized to participate in downlink ...
IEEE

Joint Communication and Inference User Allocation in LLM Native Networks

Abstract: Large language models (LLMs) are game changers for future next-generation networks, unlocking new opportunities for disruptive and interactive services and applications. Edge computing ...
Microsoft

VL2: A Scalable and Flexible Data Center Network

Recognized as one of "the most important research results published in CS in recent years". To be agile and cost effective, data centers should allow dynamic resource allocation across large server ...
IEEE

Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods

Abstract: As artificial intelligence (AI) continues to gain prominence, understanding its application in customer relationship management (CRM) has become increasingly critical. Advances in computing ...
IEEE

MTL-CNET: An Advanced Integrated Sensing and Communication Framework Utilizing Complex Neural Networks and Multi-Task Learning

Abstract: Integrated sensing and communication (ISAC) is anticipated as a “game-changer” for the sixth generation systems by enhancing both efficiency and reliability. However, critical challenges ...
Network World

What is co-packaged optics? A solution for surging capacity in AI data center networks

The proliferation of artificial intelligence workloads is creating concern about the ability of data center networks to keep up with demand. One part of the solution is co-packaged optics (CPO), which ...