MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning
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DOI: 10.1089/big.2019.0123
Abstract: Choosing the right parameter configurations for recurring jobs running on big data analytics platforms is difficult because there can be hundreds of possible parameter configurations to pick from. Even the selection of parameter configurations is… read more here.
Keywords: big data; data platforms; parameter; parameter configurations ... See more keywords
A Deep-Q Learning Scheme for Secure Spectrum Allocation and Resource Management in 6G Environment
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DOI: 10.1109/tnsm.2022.3186725
Abstract: In this paper, we propose a dynamic spectrum allocation (DSA) scheme DeepBlocks at the backdrop of sixth-generation (6G) communication networks that address the challenges of fixed spectrum allocations (FSA). The scheme exploits the advantages of… read more here.
Keywords: resource; spectrum allocation; dqn; scheme ... See more keywords
NOMA resource allocation method in IoV based on prioritized DQN-DDPG network
Sign Up to like & getrecommendations! Published in 2021 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-021-00828-1
Abstract: To meet the demands of massive connections in the Internet-of-vehicle communications, non-orthogonal multiple access (NOMA) is utilized in the local wireless networks. In NOMA technique, various optimization methods have been proposed to provide optimal resource… read more here.
Keywords: allocation; dqn; resource; network ... See more keywords