OPTIMIZING SPECTRUM SHARING IN LICENSED ASSISTED ACCESS (LAA) NETWORKS

Abstract

Only Licensed Assisted Access (LAA) has demonstrated to be a sensible tool to counteract spectrum scarcity through allowing cellular systems to opportunistically use unlicensed bands without compromising control-plane reliability in licensed spectrum. Nevertheless, the ability to efficiently share the spectrum with existing Wi-Fi systems is still a very important issue, especially in dense and heterogeneous traffic scenarios. The framework of this paper provided an optimization of spectrum sharing of LAA networks that would balance the coexistence fairness, latency, and throughput performance. It used an adaptive

channel selection that uses carrier-aggregation where spectral diversity is used to exploit this diversity, a dynamic duty-cycle adjustment used to control channel occupancy and transmit power used to reduce cross-technology interference. An integrated interference and coexistence model was created to realize contention behaviour between LAA and Wi-Fi with different load conditions. The algorithmic workflows were developed to be low computational complexity, and the solution can be deployed on the real-time process in small-cell environments. The simulation outcomes showed that the proposed solution greatly enhanced the aggregate system throughput without compromising on the fairness of accessibility of Wi-Fi and the latency variation unlike the fixed and trial-of-error LAA set-ups. The findings also indicated high performance with traffic heterogeneity and dense deployments indicating the ability of the framework to adapt to real network conditions. Generally, the proposed optimization scheme improved the use of spectrum efficiency and coexistence stability which could be applied practically in the next generation cellular system by utilizing unlicensed spectrum. The results highlighted the significance of cross-layer optimization of harmonious and scaled spectrum sharing on future LAA enabled networks and informed regulatory compliant implementations.