| RL models | Applications in 5G | Adoption of Model in healthcare delivery | References |
1 | RL algorithm based on long short-term memory (RL-LSTM) cells. | In LTE unlicensed (LTE-U) networks, proactive resource allocation is formulated as a non-cooperative game that allows small base stations to learn which unlicensed channel to use based on long-term WLAN behavior and LTE-U traffic loads. | These models can be adopted on electronic medical records of deceased patients to estimate life expectancy. | [35] [37] [39] |
2 | Gradient follower (GF), the modified Roth-Erev (MRE), and the modified Bush and Mosteller (MBM) | To reduce intra/inter-tier interference, enable femtocells to sense the radio environment and tune their parameters in HetNets autonomously and opportunistically. | These models can be used for a variety of critical care and chronic illness treatment plans, automated medical diagnostics, and many other scheduling or control issues relating to the healthcare system. | [37] |
3 | RL with Network assisted feedback | Selection of Heterogeneous Radio Access Technologies (RATs). | These models are utilized to create effective solutions in a variety of healthcare settings where diagnosis choices or treatment plans typically involve a long period of time with delayed feedback. | [35] |