Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets.
Qianyu LiuChiew Foong KwongSun WeiSijia ZhouLincan LiPushpendu KarPublished in: Neural Comput. Appl. (2023)
Keyphrases
- dynamic programming
- high accuracy
- experimental evaluation
- cost function
- objective function
- fuzzy logic
- improved algorithm
- computational cost
- optimization algorithm
- theoretical analysis
- preprocessing
- computational complexity
- clustering method
- detection method
- detection algorithm
- reinforcement learning
- segmentation algorithm
- segmentation method
- computationally efficient
- recognition algorithm
- k means
- matching algorithm
- support vector machine svm
- selection algorithm
- optimization method
- estimation algorithm
- synthetic and real images
- input data
- model free
- convergence rate
- significant improvement
- similarity measure
- classification method
- learning algorithm
- tree structure
- energy function
- neural network
- fuzzy membership functions
- classification algorithm
- mathematical model
- artificial intelligence
- fuzzy reasoning
- search space
- np hard
- machine learning
- markov decision processes
- optimal solution
- genetic algorithm
- membership functions
- wireless networks
- expectation maximization
- simulated annealing
- support vector machine
- probabilistic model
- control policy
- global optimisation