From the 1 of 10 linked papers with an AI index.
10 papers
LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink
Chunmei Xu, Siqi Zhang, Zhi Ding +2
LiTCom is a framework that uses a very simple transmitter with low‑pass filtering and minimal channel coding, while relying on large generative AI models at the receiver to reconst…
Inference-Driven Uplink for 6G: Architecture, Principles, and Challenges
Chunmei Xu, Yi Ma, Rahim Tafazolli +1
Next-generation wireless networks (6G) face a critical uplink challenge arising from stringent device-side resource constraints and the growing demand for intelligent services. Thi…
Region-Based Constellation Designs for Constructive Interference Precoding in MU-MIMO
Yupeng Zheng, Chunmei Xu, Jinfei Wang +2
The performance of constructive interference precoding (CIP) for multi-user multi-antenna (MU-MIMO) systems is governed by the structure of the constructive interference (CI) regio…
Semantic MIMO: Revisiting Linear Precoding in the Generative AI Era
Chunmei Xu, Yi Ma, Rahim Tafazolli
This paper revisits linear precoding, namely match-filter (MF) and zero-forcing (ZF), in a semantic multiple-input multiple-output (MIMO) system empowered by generative AI. The aim…
Data-Importance-Aware Power Allocation for Adaptive Semantic Communication in Computer Vision Applications
Chunmei Xu, Yi Ma, Rahim Tafazolli +1
Life-transformative applications such as immersive extended reality are revolutionizing wireless communications and computer vision (CV). This paper presents a novel framework for…
LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
Chunmei Xu, Siqi Zhang, Yi Ma +1
Data-intensive and immersive applications, such as virtual reality, impose stringent quality of experience (QoE) requirements that challenge traditional quality of service (QoS)-dr…