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Efficient Packet Scheduling Schemes for Multiantenna Packet Radio Downlink

机译:多天线分组无线下行链路的高效分组调度方案

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In this paper, we propose fairness-oriented dual-stream multiple-input multiple-output (MIMO) packet scheduling schemes for future multi-antenna packet radio systems. In general, multi-user transmit-receive schemes allow users to be scheduled on different parallel streams on the same time-frequency resource. Based on that, implementations of more intelligent scheduling schemes that are aware of the instantaneous state of the radio channel require utilization of time, frequency and spatial domain resources in an efficient manner. Stemming from the earlier advanced proportional fair (PF) scheduler studies, we extend the developments to dual-stream MIMO packet radios. Furthermore, we investigate the resulting fairness distribution among users together with efficiency in increasing the system capacity in terms of throughput and coverage by simulating practical orthogonal frequency division multiple access (OFDMA) system environment with MIMO functionality in micro and macro cell scenarios. As a concrete example, we demonstrate that by using new multi-user scheduling schemes, significant coverage improvements in the order of 30% can be obtained at the expense of only 14% throughput loss. Furthermore, the user fairness is also greatly increased, by more than 18%, when measured using Jainpsilas fairness index.
机译:在本文中,我们为未来的多天线分组无线系统提出了面向公平性的双流多输入多输出(MIMO)分组调度方案。通常,多用户发送-接收方案允许在同一时频资源上的不同并行流上调度用户。基于此,意识到无线电信道的瞬时状态的更智能的调度方案的实现需要以有效的方式利用时间,频率和空间域资源。基于早期的高级比例公平(PF)调度程序研究,我们将开发扩展到双流MIMO分组无线电。此外,我们通过在微蜂窝和宏蜂窝场景中模拟具有MIMO功能的实用正交频分多址(OFDMA)系统环境,研究了用户之间的公平分布以及在吞吐量和覆盖范围方面提高系统容量的效率。作为一个具体的例子,我们证明了通过使用新的多用户调度方案,可以以仅14%的吞吐量损失为代价获得30%左右的覆盖率显着提高。此外,使用Jainpsilas公平性指数进行测量时,用户公平性也大大提高了18%以上。

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