We propose a novel user equipment (UE) scheduling framework for millimeter-wave (mmWave) massive multiuser (MU) multiple-input multiple-output (MIMO) wireless systems. Our framework determines (sub)sets of UEs that should transmit simultaneously in a given time slot by approximately solving a nonconvex optimization problem using forward-backward splitting. Our UE scheduling framework is flexible in the sense that it (i) supports a variety of cost functions, including post-equalization mean square error and sum rate, and (ii) enables precise control over the minimum and maximum number of resources the UEs should occupy. We demonstrate the efficacy of our framework using realistic mmWave channel vectors generated with a commercial ray-tracer. We show that our UE scheduler outperforms a range of existing scheduling methods and closely approaches the performance of an exhaustive search.
翻译:我们为毫米波(mmWave)大型多用户(MU)多投入多输出(MIMO)无线系统提出了一个新型用户(UE)排期框架。我们的框架确定在特定时间段同时传输的UE(子)集,通过前向后向分裂解决非电解优化问题。我们的UE排期框架具有灵活性,因为它(一) 支持各种成本功能,包括平均平均差和总和率,以及(二) 能够精确控制UE所应使用资源的最低和最大数量。我们用一个商业射线tracer产生的现实的mm wave频道矢量展示了我们框架的功效。我们展示了我们的UE排期比一系列现有的排期方法要强,并接近于彻底搜索的完成。