no code implementations • 18 Apr 2023 • Weihua Xu, Feifei Gao, Yong Zhang, Chengkang Pan, Guangyi Liu
Visual perception is an effective way to obtain the spatial characteristics of wireless channels and to reduce the overhead for communications system.
no code implementations • 21 Jan 2023 • Feiyang Wen, Weihua Xu, Feifei Gao, Chengkang Pan, Guangyi Liu
In this letter, we propose a novel mmWave beam selection method based on the environment semantics extracted from user-side camera images.
no code implementations • 14 Jan 2023 • Yuwen Yang, Feifei Gao, Xiaoming Tao, Guangyi Liu, Chengkang Pan
In this paper, we propose an environment semantics aided wireless communication framework to reduce the transmission latency and improve the transmission reliability, where semantic information is extracted from environment image data, selectively encoded based on its task-relevance, and then fused to make decisions for channel related tasks.
no code implementations • 11 Jan 2023 • Zhijin Qin, Feifei Gao, Bo Lin, Xiaoming Tao, Guangyi Liu, Chengkang Pan
This article introduces a framework for generalized semantic communication system, which exploits the semantic information in both the multimodal source and the wireless channel environment.
no code implementations • 21 Nov 2022 • Zhiqing Wei, YuAn Wang, Liang Ma, Shaoshi Yang, Zhiyong Feng, Chengkang Pan, Qixun Zhang, Yajuan Wang, Huici Wu, Ping Zhang
In this paper, we investigate how to apply the positioning reference signal (PRS) of the 5th generation (5G) mobile communications in radar sensing.
no code implementations • 12 Jul 2022 • Bo Lin, Feifei Gao, Yong Zhang, Chengkang Pan, Guangyi Liu
In this paper, we proposed a multi-camera view based proactive BS selection and beam switching that can predict the optimal BS of the user in the future frame and switch the corresponding beam pair.
no code implementations • 6 Jun 2022 • Xiang Peng, Zhijin Qin, Danlan Huang, Xiaoming Tao, Jianhua Lu, Guangyi Liu, Chengkang Pan
With the advent of the 6G era, the concept of semantic communication has attracted increasing attention.
1 code implementation • 9 May 2022 • Zhenzi Weng, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu, Geoffrey Ye Li
In this paper, we develop a deep learning based semantic communication system for speech transmission, named DeepSC-ST. We take the speech recognition and speech synthesis as the transmission tasks of the communication system, respectively.