Use case | Objective and scenario | Approach | AI architecture | Refs. |
---|---|---|---|---|
User association | Delay minimization under energy consumption constraint in ultra-dense network with edge computing | DRL | Decentralized | [50] |
User association | Load balancing with service rate selection in vehicular network with heterogeneous base stations | DRL | Centralized | [51] |
Cell selection | Capacity maximization and number of handovers balancing in open access femtocell network | Q-learning | Decentralized | [52] |
User association | UE outages minimization by cell range expansion for Picocell with bias value | Q-learning | Decentralized | [53] |
Network slicing | Maximize network revenue by intelligently admitting network slice requests | RL | Centralized | [54] |
Network slicing | Maximize the utility of individual service provider by joint slicing computing and communication resources | DQL | Decentralized | [55] |
Traffic prediction | Short-term traffic prediction for individual users | Meta-learning | Decentralized | [57] |
Resource allocation | Minimize service latency in a sliced RAN by computing resource allocation and task transmission scheduling | DRL | Centralized | [56] |
Traffic prediction | Predict the maximum service-specific traffic load for each slice based on real-world 5G network data | DL | Centralized | [58] |
Content placement | Track and predict time-variant content requests from users | DL | Centralized | [59] |
Content delivery | Determine caching and computing offloading decisions to reduce operational cost on edge server | DRL | Centralized | [60] |
Rate adaptation | Video quality-aware rate control for real-time video streaming | DRL | Decentralized | [61] |
User association | Coverage and capacity maximization for massive MIMO systems | DRL | Centralized | [62] |
User scheduling | Sum rate maximization with joint user-cell association and selection of number of beams in 5G mmWave networks | Transfer Q-learning; Unsupervised learning | Hybrid | [63] |
User scheduling | Power-efficient resource allocation in cloud RANs | DRL | Centralized | [64] |
User scheduling | Minimizing the age of correlated information in IoT systems | DRL | Centralized | [65] |