Enhancing User Association to mmWave with Network Slicing and QoS Prioritization from Sub-6 GHz Bands

In order to increase network capacity and user experience, a move toward millimeter-wave spectrum use has become necessary due to the constraints of sub-6 GHz frequencies and the rising demand for mobile data. In this paper, we propose a mathematical framework to dynamically improve user association with mmWave bands using network slicing and Quality of Service (QoS) priority. A utility maximization algorithm that balances user demand, network load, and signal quality across accessible spectrum bands is one of the multi-tier optimization techniques used in the suggested model. Optimal changeover locations from sub-6 GHz to mmWave are predicted using a Markov Decision Process (MDP) based on environmental factors and real-time user mobility. According to simulation data, under conditions of peak demand, this technique can improve user offload to mmWave by up to 50% while reducing congestion on sub-6 GHz bands by 30%. Furthermore, QoS priority ensures that customers encounter the least amount of disturbance when switching between frequency tiers by improving latency-sensitive application performance by an average of 20%. These results demonstrate how network slicing in conjunction with QoS-driven regulations can optimize network capacity, dynamically balance frequency allocation, and guarantee uninterrupted connectivity for next-generation mobile networks.