We study joint unicast and multigroup multicast transmission in single-cell massive multiple-input-multiple-output (MIMO) systems, under maximum ratio transmission. For the unicast transmission, the objective is to maximize the weighted sum spectral efficiency (SE) of the unicast user terminals (UTs) and for the multicast transmission the objective is to maximize the minimum SE of the multicast UTs. These two problems are coupled to each other in a conflicting manner, due to their shared power resource and interference. To address this, we formulate a multiobjective optimization problem (MOOP). We derive the Pareto boundary of the MOOP analytically and determine the values of the system parameters to achieve any desired Pareto optimal point. Moreover, we prove that the Pareto region is convex, hence the system should serve the unicast and multicast UTs at the same time-frequency resource.
翻译:我们研究单细胞大规模多投入-多产出(MIMO)系统中的单子和多组多功能传输(MIMO)系统。对于单子传输,我们的目标是最大限度地提高单子用户终端(UTs)的加权和光谱效率。对于多子传输,我们的目标是最大限度地实现多子传输的最小 SE 。这两个问题因共享电力资源和干扰而以相互冲突的方式相互交织。为了解决这个问题,我们制定了一个多目标优化问题(MOOP ) 。我们通过分析得出MOOP的Pareto边界,并确定系统参数的值,以达到任何理想的Pareto最佳点。此外,我们证明Pareto区域是连接点,因此这个系统应该同时为单子和多子传输UTs服务。