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A Novel and Effective User Scheduling Scheme for Heterogeneous Scenario in LTE-A System

机译:LTE-A系统异构场景的一种新颖有效的用户调度方案

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In this paper, we investigate user pairing scheduling algorithm in heterogeneous scenario, where users experience different channel characteristics. Since for most practical downlink multi-user multiple-input multiple-output (MU-MIMO) long term evolution-advanced (LTE-A) systems, users are almost with distinct features. Coordinated Multi-Point (CoMP) transmission technology is widely used to alleviate inter-cell interference, which quite suitable for heterogeneous network. However, most of the existing scheduling algorithms focus on the homogeneous scenario. Hence, it is necessary to extend user scheduling scheme to heterogeneous scenario. A novel and effective scheme is proposed for heterogeneous scenario in LTE-A system. The proposed scheme synthetically takes both users fairness and system capacity into account. Moreover, it quantifies the two above-mentioned factors which lead to much less complexity compared with exhaust algorithm. System-level Simulation results show that the proposed scheme outperforms the traditional scheduling schemes in terms of cell edge spectrum efficiency and cell average spectrum efficiency.
机译:在本文中,我们在异构方案中调查了用户配对调度算法,用户体验了不同的信道特性。由于对于大多数实用的下行链路多用户多输入多输出(MU-MIMO)长期演进 - 高级(LTE-A)系统,但用户几乎具有不同的功能。协调的多点(COMP)传输技术被广泛用于缓解电池间干扰,这非常适合于异构网络。然而,大多数现有的调度算法都侧重于同质场景。因此,有必要将用户调度方案扩展到异构场景。提出了一种用于LTE-A系统的异构场景的新颖且有效的方案。拟议方案综合地将用户公平和系统能力考虑在内。此外,与排气算法相比,它量化了前面提到的两个因素,这导致了更大的复杂性。系统级仿真结果表明,该方案在细胞边缘频谱效率和电池平均光谱效率方面优于传统调度方案。

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