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Low-complexity uplink scheduling algorithms with power control in successive interference cancellation based wireless mud-logging systems.

, , and . Wirel. Networks, 25 (1): 321-334 (2019)

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An Algorithm for Improving Throughput Guarantee of Topology-Transparent MAC Scheduling Strategy.. Wirel. Sens. Netw., 2 (10): 801-806 (2010)Complexity of minimum uplink power scheduling with delay bound for Backbone-assisted PD-NOMA wireless networks., , , and . Comput. Networks, (2022)A novel second-order learning algorithm based attention-LSTM model for dynamic chemical process modeling., , , and . Appl. Intell., 53 (2): 1619-1639 (2023)Minimizing Peak Memory Footprint of Inference on IoTs Devices by Efficient Recomputation., , and . ICIC (5), volume 14090 of Lecture Notes in Computer Science, page 15-26. Springer, (2023)Low-Latency Deep Learning Inference Schedule on Multi-Core MCU., , , and . IJCNN, page 1-8. IEEE, (2024)Low-complexity uplink scheduling algorithms with power control in successive interference cancellation based wireless mud-logging systems., , and . Wirel. Networks, 25 (1): 321-334 (2019)Efficient Neural Network Fine-Tuning via Layer Contribution Analysis., , , , and . ICIC (4), volume 14865 of Lecture Notes in Computer Science, page 350-361. Springer, (2024)Optimal Power Scheduling for SIC-Based Uplink Wireless Networks with Guaranteed Real-Time Performance., , , and . WASA, volume 10251 of Lecture Notes in Computer Science, page 23-36. Springer, (2017)Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks., , and . Comput. Networks, (2018)Optimal data sink location for real-time NOMA-based Industrial IoTs., , and . IPCCC, page 1-6. IEEE, (2021)