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Achieving the proportional fairness in MU-MIMO uplink cellular networks

机译:在MU-MIMO上行链路蜂窝网络中实现比例公平

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In this paper, the optimal scheduling problem is studied to maximize network utility according to proportional fairness policy in multi-user multiple-input and multiple-output (MU-MIMO) uplink cellular networks. An optimization framework is developed to maximize the aggregate utility and to compute the optimal scheduling parameters in a single cell cellular network. The optimization problem is a very complex non linear program (NLP). The problem is solved numerically for several medium size network scenarios using an optimization tool. The numerical results show that MU-MIMO technique provides a significant utility gain over single user MIMO (SU-MIMO) technique. Further, the optimal scheduling parameters are determined analytically for the both SU-MIMO and MU-MIMO schemes. Interestingly, the optimal scheduling is found to be the same as the round-robin scheduling for the both MIMO schemes which is also validated by numerical computation. In this work, it is demonstrated that the simple round robin scheduling can achieve the proportional fairness in a SU-MIMO as well as a MU-MIMO uplink cellular network.
机译:在本文中,研究了最佳调度问题,以便根据多用户多输入和多输出(MU-MIMO)上行链接蜂窝网络中的比例公平策略来最大化网络实用性。开发了优化框架以最大化聚合实用程序,并在单个单元蜂窝网络中计算最佳调度参数。优化问题是一个非常复杂的非线性程序(NLP)。对于使用优化工具的几个中等大小网络场景,该问题在数值上进行了解决。数值结果表明,MU-MIMO技术通过单用户MIMO(SU-MIMO)技术提供了显着的实用性增益。此外,对于SU-MIMO和MU-MIMO方案,分析地确定最佳调度参数。有趣的是,最佳调度被发现与通过数值计算验证的MIMO方案的循环调度相同。在这项工作中,证明简单的循环调度可以在SU-MIMO以及MU-MIMO上行链路蜂窝网络中实现比例公平性。

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