Concurrent CCO and LB Optimization in Emerging HetNets: A Novel Solution and Comparative Analysis

Optimizing parameters to achieve optimal trade-off between coverage and capacity is a well known research problem in 5th Generation mobile cellular networks. Introduction of ultra dense heterogeneous networks is bound to exacerbate this problem by adding a third conflicting objective i.e., load balancing between macro and small cells. Existing solutions on load balancing are not suited for this purpose since they balance cell loads at the cost of spectral efficiency, a key measure of resource efficiency in 5G networks. To tackle these challenges, we propose a novel solution for joint optimization of coverage, capacity and load in ultra dense heterogeneous networks that does not compromise spectral efficiency or subscriber satisfaction. The proposed solution incorporates antenna tilt, transmit power and cell offset parameters into a single objective. We compare two different versions of our proposed solution with existing coverage optimization [1], and coverage, capacity and load optimization [2] algorithms, as well as coverage optimization and load balancing solutions for HetNets to highlight its advantages. Simulation results show that the proposed solution improves service quality while also offering higher residual capacity compared to nearest benchmark.