Joint Power and Subcarrier Allocation Optimization for Multigroup Multicast Systems With Rate Splitting

Joint Power and Subcarrier Allocation Optimization for Multigroup Multicast Systems With Rate Splitting
复制标题

DOI:
10.1109/tvt.2019.2957994
复制
发表时间:
2020-02
影响因子:
6.8
通讯作者:
Hongzhi Chen;D. Mi;B. Clerckx;Zheng Chu;Jia Shi;P. Xiao
Hongzhi Chen;D. Mi;B. Clerckx;Zheng Chu;Jia Shi;P. Xiao
中科院分区:
计算机科学2区
文献类型:
--
作者:
Hongzhi Chen;D. Mi;B. Clerckx;Zheng Chu;Jia Shi;P. Xiao

文献摘要

被引文献

相似文献

在这篇文章中,我们研究了多载波多用户MISO(多输入单输出)下行链路系统的资源分配问题,其中多个同信道多播组同时提供服务。我们考虑一个速率分裂传输方案,以解决不可避免的组间干扰下,过载的多组多播的情况下,发射天线的数量不足,防止传统的计划从中和的干扰。首先,我们制定了一个优化问题,最大限度地提高所有可用的子载波上的所有组之间的最小组播组速率。该问题涉及功率和子载波的联合优化,并且是非凸的。我们应用一个迭代计划的基础上逐次凸逼近(SCA)找到局部最优解。仿真结果表明,所提出的方案相比,国家的最先进的传输方案的性能增益。
In this article, we investigate a resource allocation problem for multicarrier multiuser MISO (multiple-input-Single-output) downlink systems, where multiple co-channel multicast groups are served simultaneously. We consider a rate-splitting transmission scheme to address the inevitable inter-group interference under an overloaded multigroup multicast scenario, where the insufficient number of transmit antennas prevents the conventional schemes from neutralizing the interference. We first formulate an optimization problem for maximizing the minimum multicast group rate among all groups on all available subcarriers. This problem involves a joint power and subcarrier allocation optimization, and is non-convex. We apply an iterative scheme based on successive convex approximation (SCA) to find the locally optimal solution. Simulation results demonstrate the performance gain of the proposed scheme compared to the state-of-the-art transmission schemes.