Zobrazeno 1 - 10
of 324
pro vyhledávání: '"Chengshan Xiao"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-9 (2018)
Abstract The performance of a belief propagation decoder for low-density parity-check codes is limited by the presence of trapping sets in the code’s graph. This leads to an error floor at higher signal-to-noise ratios. We propose the use of an aug
Externí odkaz:
https://doaj.org/article/255d4c290c264a219fa11ff3096726d4
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Multiple-input multiple-output (MIMO) underwater acoustic (UWA) channels introduce both space-time interference (STI) and time-varying phase distortion for transmitted signals. In such cases, the equalized symbols produced by conventional equalizer a
Externí odkaz:
https://doaj.org/article/784cb34283fd452da5851003fc05fe1e
Autor:
Shusen Jing, Chengshan Xiao
Publikováno v:
IEEE Transactions on Wireless Communications. 21:9351-9365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb03aec8fe3e1f624ec939b314b5841f
https://doi.org/10.1109/twc.2022.3175887
https://doi.org/10.1109/twc.2022.3175887
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:7274-7286
In this paper, we investigate the robust linear precoder design for three dimensional (3D) massive multi-input multi-output (MIMO) downlink with uniform planar array (UPA) and imperfect channel state information (CSI). In practical massive MIMO with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9265d5ed343e2865bd602b521c45756
https://doi.org/10.1109/tvt.2022.3163392
https://doi.org/10.1109/tvt.2022.3163392
In this paper, the analysis of excess distortion exponent for joint source-channel coding (JSCC) in semantic-aware communication systems is presented. By introducing an unobservable semantic source, we extend the classical results by Csiszar to seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9c7dfcd0a0df244ce852813b8acd54f
Autor:
Shusen Jing, Chengshan Xiao
Publikováno v:
IEEE Transactions on Signal Processing. 69:4269-4281
In this paper, we investigate designs of linear precoders for vector Gaussian channels via stochastic optimizations and deep neural networks (DNNs). We assume that the channel inputs are drawn from practical finite alphabets, and we search for precod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::646fc3b61902f0de50b70844480fefb2
https://doi.org/10.1109/tsp.2021.3096466
https://doi.org/10.1109/tsp.2021.3096466
Publikováno v:
IEEE Internet of Things Journal. 7:6664-6675
Underwater acoustic communication often suffers from extended channel impulse response (CIR) and large Doppler spread such that signals become difficult to detect and decode. For the underwater Internet-of-Things (IoT) applications, the challenges ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e5d008003b199c580c4ce0e63ddb2d2
https://doi.org/10.1109/jiot.2020.2984532
https://doi.org/10.1109/jiot.2020.2984532
Autor:
Xinyu Xie, Yongpeng Wu, Jianping An, Junyuan Gao, Wenjun Zhang, Chengwen Xing, Kai-Kit Wong, Chengshan Xiao
This paper investigates the unsourced random access (URA) scheme to accommodate numerous machine-type users communicating to a base station equipped with multiple antennas. Existing works adopt a slotted transmission strategy to reduce system complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa80f75c37598908dffb1a2fe5440790
http://arxiv.org/abs/2202.08096
http://arxiv.org/abs/2202.08096
Autor:
Shusen Jing, Chengshan Xiao
Publikováno v:
IEEE Transactions on Wireless Communications. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff3d28501b35e447915a51a38a2f0640
https://doi.org/10.1109/twc.2023.3247523
https://doi.org/10.1109/twc.2023.3247523
Publikováno v:
IEEE Transactions on Communications. 67:7540-7557
Due to the lack of explicit expression of instantaneous mutual information (IMI), online throughput optimization for energy harvesting (EH) MIMO systems with finite alphabet inputs suffers from heavy computation burden and large feedback overhead. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15a08b8256d83a77ab6dbc0008077e10
https://doi.org/10.1109/tcomm.2019.2934054
https://doi.org/10.1109/tcomm.2019.2934054