Resource allocation and power control combined optimization method based on reinforcement learning in heterogeneous network

• Main Authors: CHANG CHUN, HE XIAO, FAN PENGFEI, PEI YIYANG, ZHAO NAN, WU MINGHU, JIANG YUNHAO, FAN MENGLIN, TIAN CHAO, LI LIRONG
• Format: Patent
• Language: Chinese; English
• Published: 11.09.2018
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; WIRELESS COMMUNICATIONS NETWORKS

The invention belongs to the technical field of wireless communication, in particular to a resource distribution and power control combined optimization method based on reinforcement learning in a heterogeneous network. The method aims at dynamic and time-varying characteristics of factors such as transmission channels and transmission power, and an optimal resource distribution, user associationand power control combined strategy is obtained by utilizing a distributed Q learning method through establishing a multi-agent enhanced learning framework in combination with the conditions of user satisfaction degree and operator benefit seeking on the basis of establishing a heterogeneous cellular network system model on the premise that the user selfishness and the operator benefit in the heterogeneous network are considered, so that the maximization of the long-term system utility of the whole network is achieved. 本发明属于无线通信技术领域，具体涉及种异构网络中基于强化学习的资源分配和功率控制联合优化方法。针对传输信道和传输功率等因素的动态和时变特性，在考虑异构网络中用户的自私性和运营商利益的前提下，在建立异构