From the 1 of 36 linked papers with an AI index.
1 citations · 1 across the 10 of their papers we have counts for
18 papers · 1 filter
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…
Effective Depth in Joint Source-Channel Coding: An Implicit Equilibrium Analysis
Kaiwen Yu, Gang Wu, Xiaodong Xu +2
A fundamental design question in deep joint source-channel coding (Deep JSCC) remains insufficiently explored: given a channel signal-to-noise ratio (SNR), what effective computati…
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…
IPRU: Input-Perturbation-based Radio Frequency Fingerprinting Unlearning for LAWNs
Ce Liu, Rui Meng, Yinqiu Liu +4
Radio Frequency Fingerprinting (RFF) is a key technology for identity authentication in wireless networks. However, due to the rapid dynamics of Autonomous Aerial Vehicles (AAVs) i…
Low-Complexity Tone Injection via Candidate Ranking for PAPR Reduction in OFDM and AFDM Systems
Yupeng Zheng, Ang Li, Jinfei Wang +2
Tone injection (TI) is a promising distortionless PAPR reduction technique that incurs no spectral efficiency loss. However, state-of-the-art TI schemes based on random candidate g…
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…