Adaptive User Association through Signal and Power Threshold Adjustments between Sub-6 GHz and MmWave Bands

In order to satisfy the various coverage and capacity needs of next-generation wireless networks, the sub-6 GHz and millimeter-wave (mmWave) frequency bands must be integrated. However, because of their different propagation characteristics, it is still difficult to ensure effective user association between various bands. In order to dynamically balance users across sub-6 GHz and mmWave tiers, this article suggests an adaptive user association approach based on Signal and Power Threshold Adjustments (SPTA). The suggested approach maximizes network performance and minimizes service delays by optimizing user distribution using a mathematical model that takes path loss, received signal strength (RSS), and power control into account. The path loss equation is used to model the signal quality. Higher data speeds are ensured by using a threshold-based decision strategy, in which users are assigned to the mmWave band if the received power surpasses a predetermined threshold. For broader coverage, they stay in the sub-6 GHz rung otherwise. There is an expression for the utility function that maximizes system throughput while minimizing user discontent. According to simulation data, the suggested SPTA strategy outperforms static association methods in terms of throughput by an average of 35%. Additionally, while maintaining acceptable delay levels, mmWave utilization increases by 40% in high-traffic scenarios. In order to balance network load, the adaptive thresholding system dynamically reallocates users, showing notable gains in network efficiency, user satisfaction, and resource utilization. This work highlights the potential of adaptive user association driven by signal and power thresholds to support seamless connectivity in hybrid 5G and future 6G networks.