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A Benchmark for D2D in Cellular Networks: The Importance of Information

机译:蜂窝网络中D2D的基准:信息的重要性

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Many new mobile applications create traffic among cellular users. We define intra-cellular traffic as the traffic from one cellular user to another user in the same cellular network. This type of traffic introduces new challenges for cellular network operators. Most work in the literature focuses on the possibility to utilize the direct links between those users, if they are close to each other (this is called device-to-device (D2D) communication), to by-pass the base station. However, implementing D2D is not easy, especially because detecting that a traffic is intra-cellular is difficult. In this paper, we assume that we know how to detect if a traffic is intra-cellular or not and focus on designing a type-aware scheduler (i.e., a scheduler which has the information on the type of traffic) in a case where direct communications between users is not enabled. This scheduler can be seen as the benchmark against the case where direct communications are allowed. We show that performance gain can be obtained by jointly scheduling the uplink and downlink with respect to the case where the scheduler is blind to the types. We show for a homogeneous network that when the traffic types are known to a scheduler, a significant performance gain (up to 28%) can be achieved compared to the case where the traffic types are not known. We also analyze heterogeneous networks that consist of macro cells and small cells and show that up to a 36% performance gain can be obtained by performing type-aware user association jointly with user scheduling.
机译:许多新的移动应用程序在蜂窝用户之间创建流量。我们将蜂窝内流量定义为来自一个蜂窝用户到同一蜂窝网络中的另一用户的流量。这种类型的流量引入了蜂窝网络运营商的新挑战。文献中的大多数工作侧重于利用这些用户之间的直接链接的可能性,如果它们彼此接近(这被称为设备到设备(D2D)通信),则逐个通过基站。然而,实现D2D并不容易,尤其是因为检测到流量是较难的。在本文中,我们假设我们知道如何检测流量是否是蜂窝内的,并专注于设计类型感知调度程序(即,在Direct的情况下设计有关流量类型的信息)未启用用户之间的通信。该调度程序可以被视为允许直接通信的情况下的基准。我们表明可以通过共同调度与调度器对类型盲目的情况共同调度上行链路和下行链路来获得性能增益。我们展示了一个同质的网络,当交通类型已知到调度器时,与不知道交通类型的情况相比,可以实现显着的性能增益(最多28%)。我们还分析由宏观小区和小小区组成的异构网络,并通过与用户调度共同执行类型感知用户关联,显示高达36%的性能增益。

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