Artificial Intelligence-Based Optimization of Resource Allocation in 5G and 6G Wireless Networks
The rapid growth of connected devices, heterogeneous applications, immersive services, and intelligent edge systems has increased the complexity of resource management in fifth generation (5G) and emerging sixth generation (6G) wireless networks. Radio spectrum, transmit power, bandwidth, computing resources, network slices, and user association must be dynamically allocated while satisfying conflicting requirements for throughput, latency, reliability, fairness, and energy efficiency.
