Effective Capacity Maximization for Multi-Numerology based 5G NR Networks

This paper is the first work to investigate power allocation design for multi-numerology based 5G new radio (NR) networks. With consideration of inter-numerology interference (INI) caused by the non-orthogonality between different numerologies, the objective function of considered optimization problem is to maximize total effective capacity (EC) under transmission power constraint. A geometry programming based power allocation (GPA) algorithm is proposed, which firstly tackles the non-convexity induced by INI in the multi-numerology systems via lower bound estimation and variable transformation techniques. Power allocation solution is then obtained by Lagrangian dual method. Simulation results reveal the influence of INI on power allocation result and demonstrate the superiority of proposed GPA algorithm based on its performance on total EC.