Energy and spectrum efficient cell switch-off with channel and power allocation in ultra-dense networks: A deep reinforcement learning approach
Z Rezaei, BS Ghahfarokhi - Computer Networks, 2023 - Elsevier
The high density of small cells in the Ultra-Dense Network (UDN) has increased the capacity
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …
Deep reinforcement learning based efficient access scheduling algorithm with an adaptive number of devices for federated learning IoT systems
Z Guan, Z Wang, Y Cai, X Wang - Internet of Things, 2023 - Elsevier
With the widespread application of Internet of Things (IoT), its energy consumption is
becoming a major concern. Federated Learning (FL) allows multiple low-power devices to …
becoming a major concern. Federated Learning (FL) allows multiple low-power devices to …
Multi-Objective Reinforcement Learning for Power Allocation in Massive MIMO Networks: A Solution to Spectral and Energy Trade-Offs
The joint optimization of spectral efficiency (SE) and energy efficiency (EE) through power
allocation (PA) techniques is a critical requirement for emerging fifth-generation and beyond …
allocation (PA) techniques is a critical requirement for emerging fifth-generation and beyond …
Multi-Objective Reinforcement Learning-based Power Allocation for Massive MIMO Networks
오영우 - 2024 - oak.chosun.ac.kr
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