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Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.

, , , , and . IEEE Wirel. Commun. Lett., 11 (8): 1659-1663 (2022)

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Cache for Flow Content: Solution to dependent packet processing in FPGA., , and . CCIS, page 691-694. IEEE, (2014)Fast Software-based Table-less Algorithm for CRC Generation., , and . WPMC, page 544-549. IEEE, (2018)Machine Learning Inspired Codeword Selection For Dual Connectivity in 5G User-Centric Ultra-Dense Networks., , , , and . IEEE Trans. Veh. Technol., 68 (8): 8284-8288 (2019)Optimal Deployment for Maximizing Average Sum Rate of Small Cells in Ultra-dense Networks., , , , and . PIMRC, page 1-5. IEEE, (2018)Machine Learning Inspired Binocular Vision Indoor Positioning System Based on QR Code Beacon., , , , and . ICIAI, page 5-9. ACM, (2020)Deep Reinforcement Learning-Based Power Allocation for Rate-Splitting Multiple Access in 6G LEO Satellite Communication System., , , , and . IEEE Wirel. Commun. Lett., 11 (10): 2185-2189 (2022)Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach., , , , and . IEEE Internet Things J., 9 (18): 17793-17807 (2022)Genetic Associations on Diagnosis of Parkinson's Disease with Non-Genetic Multimodality Tests Based on Feature Ranking., , , and . ICARCV, page 1549-1554. IEEE, (2018)Exploring Various Levels of Parallelism in High-Performance CRC Algorithms., , and . IEEE Access, (2019)Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications., , , , and . IEEE Wirel. Commun. Lett., 11 (8): 1659-1663 (2022)