Results 11 to 20 of about 5,144,519 (372)
Deep Joint Source-Channel Coding for Semantic Communications [PDF]
IEEE Communications Magazine, 2022 Semantic communications is considered a promising technology that will increase the efficiency of next-generation communication systems, particularly human-machine and machine-type communications.
Jia-lin Xu +5 more
semanticscholar +1 more source
Deep Source-Channel Coding for Sentence Semantic Transmission With HARQ [PDF]
IEEE Transactions on Communications, 2021 Recently, semantic communication has been brought to the forefront because deep learning (DL)-based methods, such as Transformer, have achieved great success in semantic extraction.
Peiwen Jiang +3 more
semanticscholar +1 more source
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless image transmission. The proposed scheme supports multiple rates using a single deep neural network (DNN) model and learns to dynamically control the rate based on the
Mingyu Yang, Hun-Seok Kim
semanticscholar +1 more source
Deep Joint Source-channel Coding for Wireless Image Transmission [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 We propose a novel joint source and channel coding (JSCC) scheme for wireless image transmission that departs from the conventional use of explicit source and channel codes for compression and error correction, and directly maps the image pixel values to
Eirina Bourtsoulatze +2 more
semanticscholar +2 more sources
OFDM-Guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2021 We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. Inspired by recent works on deep learning based JSCC and model-based learning methods, we combine an autoencoder with orthogonal frequency ...
Mingyu Yang +2 more
semanticscholar +1 more source
Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach [PDF]
IEEE Journal on Selected Areas in Communications, 2022 The increased throughput brought by MIMO technology relies on the knowledge of channel state information (CSI) acquired in the base station (BS). To make the CSI feedback overhead affordable for the evolution of MIMO technology (e.g., massive MIMO and ...
Jia-lin Xu, Bo Ai, Ning Wang, Wei Chen
semanticscholar +1 more source
Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM [PDF]
ICC 2021 - IEEE International Conference on Communications, 2021 We present a deep learning based joint source channel coding (JSCC) scheme for wireless image transmission over multipath fading channels with non-linear signal clipping.
Mingyu Yang +2 more
semanticscholar +1 more source
Adaptive Combined Channel-Network Coding for Cooperative Relay Aided Cognitive Radio Networks
Information, 2021 Cognitive radio (CR) is one of the emerging technologies for 4G/5G applications. Cooperative relay communications and network coding are some techniques that helped in enhancing the CR applications.
Mohamed S. AbuZeid +2 more
doaj +1 more source
Zero-error Coding Method Based on Quantum Five-symbol Confusion Channel Model [PDF]
Jisuanji gongcheng, 2018 In view of the lack of effective coding schemes for quantum zero-error channel,based on the characteristics of quantum five-symbol confusion channel model and the theory of matrix theory,a coding method of five-symbol confusion channel combining quantum ...
LI Jingya,YU Wenbin,LIU Wenjie,WANG Jinwei
doaj +1 more source
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing work on DL based JSCC usually trains the designed network to operate under a
Jia-lin Xu +5 more
semanticscholar +1 more source