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Dynamic-TDD interference tractability approaches and performance analysis in macro-cell and small-cell deployments

机译:动态TDD干扰术方法和宏观细胞和小型电池部署的性能分析

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Meeting the continued growth in data traffic volume, Dynamic Time Division Duplex (D-TDD) has been introduced as a solution to deal with the uplink (UL) and downlink (DL) traffic asymmetry, mainly observed for dense heterogeneous network deployments, since it is based on instantaneous traffic estimation and provide more flexibility in resource assignment. However, the use of this feature requires new interference mitigation schemes capable of handling two additional types of interference between cells in opposite transmission direction: DL to UL and UL to DL interference. The aim of this work is to provide a complete analytical approach to model inter-cell interference in macro-cell and dense small-cell networks. We derive the explicit expressions of Interference to Signal Ratio (ISR) at each position of the network, in both DL and UL, to quantify the impact of each type of interference on the system performance. Also, we provide the explicit expressions of the coverage probability as functions of different system parameters by covering different scenarios. Finally, through system-level simulations, we analyze the feasibility of D-TDD implementation in both deployments and we compare its performance to the static-TDD (S-TDD) configuration.
机译:满足数据流量持续增长,动态的时分双工(D-TDD)作为处理上行链路(UL)和下行链路(DL)流量不对称的解决方案,主要观察到密集的异构网络部署以来基于瞬时的流量估计,在资源分配提供更多灵活性。然而,使用该特征需要新的干扰缓解方案,其能够在相反的传输方向上处理电池之间的两种额外的干扰:DL至UL和UL至DL干扰。这项工作的目的是提供一种完整的分析方法来模拟宏观细胞和密集小型电池网络的细胞间干扰。我们在DL和UL中导出了对网络的每个位置的信号比(ISR)的显式表达,以量化每种类型干扰对系统性能的影响。此外,我们通过覆盖不同的场景,提供覆盖概率的显式表达式作为不同系统参数的函数。最后,通过系统级模拟,我们分析了D-TDD实现在两个部署中的可行性,并将其性能与静态TDD(S-TDD)配置进行了比较。

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