Resource Allocation with Multi-Connectivity in 5G Heterogeneous Networks

This paper investigates using multi-connectivity (MC) with mixed numerology to leverage the benefits of both techniques. The scenario we consider involves users connecting to multiple base stations simultaneously, with each user being served by the desired numerology set. The goal is to maximize the utility function, considering network throughput and satisfaction rate. To achieve this goal, we present an integer non-linear programming (INLP) problem and propose a multi-connectivity resource allocation (MCRA) heuristic algorithm. Moreover, a Speed-up MCRA (SMCRA) algorithm is proposed to reduce the time complexity of the MCRA algorithm while maintaining similar performance. Simulation results demonstrate that the proposed algorithms outperform existing methods in terms of both user satisfaction and network throughput.