Immersive video, such as virtual reality (VR) and multi-view videos, is growing in popularity. Its wireless streaming is an instance of general multicast, extending conventional unicast and multicast, whose effective design is still open. This paper investigates the optimization of general rate splitting with linear beamforming for general multicast. Specifically, we consider a multi-carrier single-cell wireless network where a multi-antenna base station (BS) communicates to multiple single-antenna users via general multicast. Linear beamforming is adopted at the BS, and joint decoding is adopted at each user. We consider the maximization of the weighted sum rate, which is a challenging nonconvex problem. Then, we propose an iterative algorithm for the problem to obtain a KKT point using the concave-convex procedure (CCCP). The proposed optimization framework generalizes the existing ones for rate splitting for various types of services. Finally, we numerically show substantial gains of the proposed solutions over existing schemes and reveal the design insights of general rate splitting for general multicast.
翻译:模拟视频,如虚拟现实(VR)和多视图视频,越来越受欢迎。它的无线流是一个普通多播、扩大常规单播和多播的事例,其有效设计仍然开放。本文调查一般速率与一般多播线形波束相分离的一般速率的优化问题。具体地说,我们考虑一个多载单细胞无线网络,多导线基站(BS)通过普通多播与多个单线网用户进行通信。BS采用了线形波形,每个用户都采用了联合解码法。我们考虑了加权总和率的最大化,这是一个具有挑战性的非康韦克斯问题。然后,我们提出一个用于该问题的迭代算法,以便利用concave-convex 程序(CCCP)获得一个KKT点。拟议的优化框架将现有各种服务分率的现有标准普遍化。最后,我们从数字上展示了对现有计划的拟议解决方案的巨大收益,并揭示了一般多盘化总速率分裂的设计洞察力。