User Scheduling in Wireless Networks for Deterministic Service: An Efficient Genetic Algorithm Method

Abstract

To meet the stringent latency and reliability requirements of deterministic service in 5G and beyond networks, we investigate the user selection scheme jointly considering multiple transmission time intervals in a radio access network system with multiple access technology. The objective is to maximize the number of users that satisfy both data volume and latency requirements. Due to the NP-hardness of the formulated optimization task, we propose an efficient genetic algorithm to find promising user subsets at low complexity. Numerical results demonstrate that our proposal outperforms the compared greedy algorithm and round-robin algorithm, which can provide a guideline for the design of systems with deterministic requirements in practice.