首页> 外文会议>IEEE 35th Annual IEEE International Conference on Computer Communications >Optimal local data exchange in fiber-wireless access network: A joint network coding and device association design
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Optimal local data exchange in fiber-wireless access network: A joint network coding and device association design

机译:无线接入网中的最佳本地数据交换:联合网络编码和设备关联设计

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For many emerging mobile broadband services and applications, the source and destination are located in the same local region. Consequently, it is very important to design access networks to facilitate efficient local data exchange. In the past few years, most existing studies focus on either the wired or wireless domains. In this paper, we aim to exploit both the wired and wireless domains. Specifically, we consider a Fiber-Wireless access network in which a passive optical network (PON) connects densely deployed base stations. In such a scenario, we propose a novel access scheme, namely, NCDA, where the main idea is to utilize both network coding and device association. To understand the potentials of NCDA, we first formulate a mixed integer nonlinear programming (MINLP) to minimize the weighted number of packet transmissions (WNT), which is related to both the system capacity and energy consumption. We then theoretically analyze the tight upper bounds of the minimal WNT in the PON, which helps us to approximate the original problem by a mixed integer linear programming (MILP). Next, we develop efficient algorithms based on linear programming relaxation to solve the optimal NCDA problem. To validate our design, we conduct extensive simulation experiments, which demonstrate the impact of important network parameters and the promising potentials of the proposed scheme.
机译:对于许多新兴的移动宽带服务和应用,源和目的地位于同一本地区域。因此,设计接入网络以促进有效的本地数据交换非常重要。在过去的几年中,大多数现有的研究都集中在有线或无线领域。在本文中,我们旨在利用有线和无线领域。具体来说,我们考虑一个无源光纤网络(PON)连接密集部署的基站的光纤无线接入网络。在这种情况下,我们提出了一种新颖的访问方案,即NCDA,其主要思想是利用网络编码和设备关联。为了了解NCDA的潜力,我们首先制定了一个混合整数非线性规划(MINLP),以最大程度地减少与系统容量和能耗有关的分组传输(WNT)的加权数量。然后,我们在理论上分析PON中最小WNT的紧密上限,这有助于我们通过混合整数线性规划(MILP)近似原始问题。接下来,我们开发基于线性规划松弛的高效算法来解决最佳NCDA问题。为了验证我们的设计,我们进行了广泛的仿真实验,这些实验证明了重要网络参数的影响以及拟议方案的潜在潜力。

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