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1 Ergebnisse
1
Graph Convolutional Network Enabled Power-Constrained HARQ ..:
, In:
2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)
,
Chen, Yi
;
Shi, Zheng
;
Wangy, Hong
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICCCWorkshops57813.2023.102337..
RT T1 <cTitle>2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)</cTitle>: T1 <Title>Graph Convolutional Network Enabled Power-Constrained HARQ Strategy for URLLC</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10233739&Exemplar=1&LAN=DE A1 Chen, Yi A1 Shi, Zheng A1 Wangy, Hong A1 Fuz, Yaru A1 Yang, Guanghua A1 Max, Shaodan A1 Ding, Haichuan YR 2023 SN 2474-9141 K1 Learning systems K1 Fading channels K1 Power demand K1 Redundancy K1 Ultra reliable low latency communication K1 Minimization K1 Encoding K1 Graph neural networks K1 HARQ-IR K1 power allocation K1 time-correlated fading channels SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCCWorkshops57813.2023.10233739 DO https://doi.org/10.1109/ICCCWorkshops57813.2023.10233739 SF ELIB - SuUB Bremen
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