This paper investigates rate-splitting (RS) precoding for non-orthogonal unicast and multicast (NOUM) transmissions using fully-digital and hybrid precoders. We study the nonconvex weighted sum-rate (WSR) maximization problem subject to a multicast requirement. We propose FALCON, an approach based on sequential parametric optimization, to solve the aforementioned problem. We show that FALCON converges to a local optimum without requiring judicious selection of an initial feasible point. Besides, we show through simulations that by leveraging RS, hybrid precoders can attain nearly the same performance as their fully-digital counterparts under certain specific settings.
翻译:本文调查使用全数字和混合预译器的非二次单向和多播传输的分率(RS)预编码。我们研究了非二次加权总和(WSR)最大化问题,但需符合多播要求。我们建议FALCON(一种基于顺序参数优化的方法)解决上述问题。我们显示,FALCON在不要求明智选择初始可行点的情况下,与当地最佳组合,不需要明智地选择初始可行点。此外,我们通过模拟显示,通过利用RS,混合预译器在某些特定环境下可以取得与完全数字对应器几乎相同的性能。