Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 1 Wei Wang,Xin Liu,Baoju Zhang Conference proceedings 2024 The Editor(s)

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https://doi.org/10.1007/978-981-33-4157-9adient (MADDPG) algorithm to optimize power allocation and RIS reflection coefficient regulation. Simulation results show that the proposed method can efficiently maximize the sum rate of RIS-aided OFDMA uplink while satisfying the constraint of limited fronthaul capacity in C-RAN.

Inelasticity

Local Magnetic Fields on the Sun,stics. The simulation results show that this method can achieve the recognition of the repeat parameter, the puncture parameter and the random interleaving of regular F-LDPC codes under the condition that the complete parity-check matrix is known.

Fillet,Filet

Astrophysics and Space Science Librarycover invalid or lost data encoding. Partial precision positioning recovery technology is a hybrid technology based on complete recovery technology and precision positioning recovery technology, and is not the focus of this article.

BLANC

DRL-Based Resource Allocation of RIS-Aided OFDMA System with Limited Fronthaul Capacity,adient (MADDPG) algorithm to optimize power allocation and RIS reflection coefficient regulation. Simulation results show that the proposed method can efficiently maximize the sum rate of RIS-aided OFDMA uplink while satisfying the constraint of limited fronthaul capacity in C-RAN.

駭人

,A Parity Check Matrix-Based Method for?Identifying Parameter of?Regular F-LDPC Codes,stics. The simulation results show that this method can achieve the recognition of the repeat parameter, the puncture parameter and the random interleaving of regular F-LDPC codes under the condition that the complete parity-check matrix is known.

negotiable

Research on the Application of Encoding Error Correction Technology in Cloud Computing Data Recovercover invalid or lost data encoding. Partial precision positioning recovery technology is a hybrid technology based on complete recovery technology and precision positioning recovery technology, and is not the focus of this article.

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迷住

Learning Transformation Maps for Crowd Analysis,map-based methods with different losses. Finally, we compare the counting and localization performance of map-based crowd counting and localization methods on two benchmark datasets to evaluate the effectiveness of existing maps and loss functions.