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

翻译：在第五代和第六代无线通信系统中,超可靠性和低延迟通信长期以来是一项重要但具有挑战性的任务,尽可能多地安排用户在有限的时间频资源上服务是一个关键议题,取决于每个用户的最大允许传输动力和最低速率要求。我们提出混合整数编程模式来解决这个问题,目的是尽量扩大用户的定基数,而不是尽量扩大系统总和率或能源效率。数学变换和连续相近度相结合,以解决复杂的优化问题。数字结果显示,与详尽的搜索方法相比,拟议方法取得了相当大的绩效,但计算复杂性较低。