Decentralized deep reinforcement learning meets mobility load balancing

HH Chang, H Chen, J Zhang… - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Mobility load balancing (MLB) aims to solve the problem of uneven resource utilization in
cellular networks. Since network dynamics are usually complicated and non-stationary …
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Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing

HH Chang, H Chen, J Zhang, L Liu - IEEE/ACM Transactions on …, 2023 - computer.org
Mobility load balancing (MLB) aims to solve the problem of uneven resource utilization in
cellular networks. Since network dynamics are usually complicated and non-stationary …

Decentralized Deep Reinforcement Learning Meets Mobility Load Balancing

HH Chang, H Chen, J Zhang, L Liu - IEEE/ACM Transactions on …, 2023 - dl.acm.org
Mobility load balancing (MLB) aims to solve the problem of uneven resource utilization in
cellular networks. Since network dynamics are usually complicated and non-stationary …