-based game was formulated by considering the mobility of SUs. It was also shown that this algorithm was robust to perturbation from SUs' leaving and entering the system. In [226], a method of idle channels sharing in overlapped licensed areas among PUs and SUs was proposed. Based on supply and demand fluctuations in different areas, SUs were grouped based on their suppliers, and channel transaction quotas were set by PUs for these SU groups accordingly. By applying evolutionary games, the PUs could obtain quotas of Evolutionary Stable Strategy (ESS) to maximize their incomes. Furthermore, a learning process was designed for the PUs to attain the optimal realizable integer quotas. 10.2.3 ML-Based LTE-U/LTE-LAA LTE-U has emerged as an effective technique for alleviating spectrum scarcity. Using LTE-U along with advanced techniques such as carrier aggregation can boost the per- formance of existing cellular networks. However, LTE was initially designed to operate in the licensed spectrum exclusively and was not for harmonious coexistence with other possible co-located technologies [180]. For this reason, introducing LTE into the unlicensed spectrum can cause significant coexistence issues with other well-established unlicensed technologies such as Wi-Fi, IEEE 802.15.4, or Bluetooth. To enable fair spectrum sharing with other technologies operating in the unlicensed spectrum, in particular with Wi-Fi, 10 Secure Spectrum Sharing with Machine Learning: An Overview new coexistence technologies are needed. On the other hand, not much research atten- tion has been given to studying cooperation between the technologies. Networks that participate in a cooperation scheme can exchange information directly or indirectly (via a third-party entity) to improve the efficiency of spectrum usage in a fairway. To standardize LAA technology in the 5 GHz spectrum, the 3GPP standardization group aims to develop a single global framework of LTE in the unlicensed bands. The framework should guarantee that the operation of LTE does not cr