Search Results for author: Peiwen Jiang

Found 7 papers, 0 papers with code

Semantic Satellite Communications Based on Generative Foundation Model

no code implementations18 Apr 2024 Peiwen Jiang, Chao-Kai Wen, Xiao Li, Shi Jin, Geoffrey Ye Li

Considering the high speed of satellites, an adaptive encoder-decoder is proposed to protect important features and avoid frequent retransmissions.

Semantic Communications using Foundation Models: Design Approaches and Open Issues

no code implementations23 Sep 2023 Peiwen Jiang, Chao-Kai Wen, Xinping Yi, Xiao Li, Shi Jin, Jun Zhang

Foundation models (FMs), including large language models, have become increasingly popular due to their wide-ranging applicability and ability to understand human-like semantics.

RIS-Enhanced Semantic Communications Adaptive to User Requirements

no code implementations30 Jul 2023 Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

Simulation results demonstrate the adaptability and efficiency of the RIS-SC framework across diverse channel conditions and user requirements.

Wireless Semantic Transmission via Revising Modules in Conventional Communications

no code implementations2 Oct 2022 Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

Therefore, the novel semantic-based coding methods and performance metrics have been investigated and the designed semantic systems consist of various modules as in the conventional communications but with improved functions.

Wireless Semantic Communications for Video Conferencing

no code implementations16 Apr 2022 Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

In this paper, we initially establish a basal semantic video conferencing (SVC) network, which dramatically reduces transmission resources while only losing detailed expressions.

Video Compression

Deep Source-Channel Coding for Sentence Semantic Transmission with HARQ

no code implementations6 Jun 2021 Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

Even if semantic communication has been successfully applied in the sentence transmission to reduce semantic errors, existing architecture is usually fixed in the codeword length and is inefficient and inflexible for the varying sentence length.

Sentence

AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results

no code implementations17 Dec 2018 Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

From the OTA test, the AI-aided OFDM receivers, especially the SwitchNet receiver, are robust to real environments and promising for future communication systems.

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