Maximizing the Set Cardinality of Users Scheduled for Ultra-Dense uRLLC Networks

Ultra-reliability and low latency communication has long been an important but challenging task in the fifth sixth generation wireless systems. Scheduling as many users possible to serve on limited time-frequency resource is one of a crucial topic, subjecting maximum allowable transmission power minimum rate requirement each user. We address it by proposing mixed integer programming model, with goal maximizing set cardinality instead system sum or energy efficiency. Mathematical transformations successive convex approximation are combined solve complex optimization problem. Numerical results show that proposed method achieves considerable performance compared exhaustive search method, lower computational complexity.