10 papers
Agent-Native Task-Oriented Communication with Joint Token Compression Coding and Modulation
Zhuoran Xiao, Yihang Huang, Tianyu Jiao +2
As large foundation models empower agents to become pervasive across industries and emerge as central actors in intelligent systems, a fundamental rethinking of communication parad…
AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model
Tianyu Jiao, Zhuoran Xiao, Yihang Huang +9
Designing a 6G-oriented universal model capable of processing multi-modal data and executing diverse air interface tasks has emerged as a common goal in future wireless systems. Bu…
Addressing the Curse of Scenario and Task Generalization in AI-6G: A Multi-Modal Paradigm
Tianyu Jiao, Zhuoran Xiao, Yin Xu +9
Existing works on machine learning (ML)-empowered wireless communication primarily focus on monolithic scenarios and single tasks. However, with the blooming growth of communicatio…
PAPR Reduction with Pre-chirp Selection for Affine Frequency Division Multiplexing
Haozhi Yuan, Yin Xu, Xinghao Guo +5
Affine frequency division multiplexing (AFDM) is a promising new multicarrier technique for high-mobility communications based on discrete affine Fourier transform (DAFT). By prope…
Detecting Abrupt Change of Channel Covariance Matrix in IRS-Assisted Communication
Runnan Liu, Liang Liu, Yin Xu +3
The knowledge of channel covariance matrices is crucial to the design of intelligent reflecting surface (IRS) assisted communication. However, channel covariance matrices may chang…
Capacity-based Spatial Modulation Constellation and Pre-scaling Design
Xinghao Guo, Hanjiang Hong, Yin Xu +3
Spatial Modulation (SM) can utilize the index of the transmit antenna (TA) to transmit additional information. In this paper, to improve the performance of SM, a non-uniform conste…
RIS-Aided Receive Generalized Spatial Modulation Design with Reflecting Modulation
Xinghao Guo, Yin Xu, Hanjiang Hong +5
Spatial modulation (SM) transmits additional information bits by the selection of antennas. Generalized spatial modulation (GSM), as an advanced type of SM, can be divided into div…
CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
Tong Wu, Zhiyong Chen, Dazhi He +4
Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for e…
NB-IoT Uplink Synchronization by Change Point Detection of Phase Series in NTNs
Jiaqi Jiang, Yihang Huang, Yin Xu +3
Non-Terrestrial Networks (NTNs) are widely recognized as a potential solution to achieve ubiquitous connections of Narrow Bandwidth Internet of Things (NB-IoT). In order to adopt N…
CDDM: Channel Denoising Diffusion Models for Wireless Communications
Tong Wu, Zhiyong Chen, Dazhi He +4
Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for r…