Research Article
A Federated Deep Learning Empowered Resource Management Method to Optimize 5G and 6G Quality of Services (QoS)
Table 2
Performance in terms of bit rate requirement, admission gain, and objective function of the proposed FDRL model.
| Bit rate | Admission gain | Data ratio (%) | Federated deep reinforcement learning objective function |
| 4 | 11.25 | 50.63 | 14.1227 | 4.25 | 15.87 | 49.25 | 16.6546 | 5 | 16.58 | 49.47 | 18.1553 | 5.25 | 36.25 | 48.25 | 20.6424 | 6 | 28.25 | 51.23 | 21.5115 | 6.25 | 11.69 | 52.05 | 24.0631 | 7 | 25.35 | 51.68 | 25.4336 | 7.25 | 22.87 | 49.98 | 28.0442 | 8 | 13.68 | 50.61 | 30.5231 | 8.25 | 12.28 | 49.36 | 31.3984 | 9 | 14.68 | 50.27 | 33.2101 |
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