This work studies multigroup multicasting transmission in cloud radio access networks (C-RANs) with simultaneous wireless information and power transfer, where densely packed remote radio heads (RRHs) cooperatively provide information and energy services for information users (IUs) and energy users (EUs), respectively. To maximize the weighted sum rate (WSR) of information services while satisfying the energy harvesting levels at EUs, an optimization of joint beamforming design for the fronthaul and access links is formulated, which is however neither smooth nor convex and is indeed NP-hard. To tackle this difficulty, the smooth and successive convex approximations are used to transform the original problem into a sequence of convex problems, and two first-order algorithms are developed to find the initial feasible point and the nearly optimal solution, respectively. Moreover, an accelerated algorithm is designed to improve the convergence speed by exploiting both Nesterov and heavy-ball momentums. Numerical results demonstrate that the proposed first-order algorithms achieve almost the same WSR as that of traditional second-order approaches yet with much lower computational complexity, and the proposed scheme outperforms state-of-the-art competing schemes in terms of WSR.
翻译:这项工作研究云中无线电接入网络(C-RANs)的多组多组多播传输,同时提供无线信息和电力传输,在云中,密集的远程无线电头(RRHs)合作分别为信息用户和能源用户提供信息和能源服务。为了在满足欧盟能源收获水平的同时最大限度地扩大信息服务的加权总和率(WSR),优化了前厅和存取连接的联合波束设计,但这种设计既不光滑,也不融和,而且确实很硬。为了解决这一困难,光滑和连续的convex近似法被用来将最初的问题转化为一系列convex问题,并且分别开发了两种一级算法,以找到最初可行的点和近乎最佳的解决办法。此外,加速算法的目的是通过利用Nesterov和重球动力来提高汇合速度。数字结果表明,拟议的第一阶算法几乎达到了传统二阶方法的WSR法,而传统的第二阶法方法的复杂程度则要低得多,而拟议的Wast-Arprographet 计划则在West-practal-stal-stagement simmes practal-stal-st-st-stagement sigraphetment restical