activity
20162024
most citedClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation

30 citations · 32 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI2024

Resource Allocation Based on Optimal Transport Theory in ISAC-Enabled Multi-UAV Networks

Yufeng Zheng, Lixin Li, Wensheng Lin +3

This paper investigates the resource allocation optimization for cooperative communication with non-cooperative localization in integrated sensing and communications (ISAC)-enabled…

eess.IV20241 cited

SC-CDM: Enhancing Quality of Image Semantic Communication with a Compact Diffusion Model

Kexin Zhang, Lixin Li, Wensheng Lin +3

Semantic Communication (SC) is an emerging technology that has attracted much attention in the sixth-generation (6G) mobile communication systems. However, few literature has fully…

cs.NI2024

Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization

Ya Lian, Wensheng Lin, Lixin Li +3

In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed. In this system, the UAV relay adopts lossy forward (LF) stra…

cs.NI2024

Beamforming in Secure Integrated Sensing and Communication Systems with Antenna Allocation

Yunxiang Shi, Lixin Li, Wensheng Lin +2

In this paper, we consider joint antenna allocation and transmit beamforming design in secure integrated sensing and communication (ISAC) systems. A dual-function base station (DFB…

cs.IT2024

Outage Probability Analysis for OTFS in Lossy Communications

Xin Zhang, Wensheng Lin, Lixin Li +3

This paper analyzes the outage probability of orthogonal time frequency space (OTFS) modulation under a lossy communication scenario. First of all, we introduce the channel model a…

cs.LG202330 cited

ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation

Dongbin Hou, Lixin Li, Wensheng Lin +2

With the rapid development of deep learning (DL) in recent years, automatic modulation recognition (AMR) with DL has achieved high accuracy. However, insufficient training signal d…