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Achieving the proportional fairness in MU-MIMO uplink cellular networks

机译:在MU-MIMO上行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:本文研究了在多用户多输入多输出(MU-MIMO)上行蜂窝网络中按照比例公平策略最大化网络效用的最优调度问题。开发了一种优化框架,以最大化聚合效用并计算单个蜂窝蜂窝网络中的最佳调度参数。优化问题是一个非常复杂的非线性程序(NLP)。使用优化工具以数字方式解决了几种中等规模网络方案的问题。数值结果表明,与单用户MIMO(SU-MIMO)技术相比,MU-MIMO技术提供了显着的效用增益。此外,针对SU-MIMO和MU-MIMO方案两者都解析地确定了最佳调度参数。有趣的是,发现最佳调度与两种MIMO方案的循环调度相同,这也通过数值计算得到验证。在这项工作中,证明了简单的循环调度可以在SU-MIMO和MU-MIMO上行链路蜂窝网络中实现比例公平。

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