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EURASIP Journal on Wireless Communications and Networking
Fig. 8 | EURASIP Journal on Wireless Communications and Networking

Fig. 8

From: Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services

Fig. 8

Delay performance comparison of different schemes. The delay comparison of the RL-based, Greedy, Random, SFF, and Tetris schemes at varying loads is shown in figure. Among them, the RL-based scheme selected 500 times, 1000 times, and 10,000 times training data, respectively. The x-axis is the loads, and the y-axis is the average delay. We record the delay performance of each scheme with 9 sampling points from load 0.11 to 1.28

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