Game size | Metrics | Potential game-based optimization algorithm | Proactive resource allocation algorithm | QoE-aware resource allocation algorithm | Rider-HSA | Fractional Rider-HSA | Proposed Fractional Rider Deep LSTM |
200 | Fairness | 0.400 | 0.537 | 0.545 | 0.547 | 0.820 | 0.834 |
MOS | 0.799 | 0.824 | 0.837 | 0.848 | 0.896 | 0.918 | |
QE | 0.951 | 0.987 | 0.985 | 0.995 | 0.997 | 0.999 | |
Energy | 0.474 | 0.394 | 0.385 | 0.343 | 0.310 | 0.270 | |
Delay | 0.288 | 0.229 | 0.228 | 0.227 | 0.226 | 0.193 | |
300 | Fairness | 0.538 | 0.977 | 0.989 | 0.994 | 0.997 | 0.999 |
MOS | 0.787 | 0.799 | 0.830 | 0.873 | 0.883 | 0.921 | |
QE | 0.952 | 0.965 | 0.987 | 0.996 | 0.998 | 0.999 | |
Energy | 0.465 | 0.371 | 0.363 | 0.357 | 0.354 | 0.322 | |
Delay | 0.556 | 0.486 | 0.461 | 0.461 | 0.460 | 0.456 |