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Queue-Aware Resource Allocation Scheme in Hybrid Macrocell-Femtocell Networks

机译:混合宏蜂窝-毫微微小区网络中的队列感知资源分配方案

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In sharing-spectrum macrocell and femtocell networks, the aim of resource allocation schemes often involves maximizing system capacity or maintaining fairness under the assumption of saturated traffic for users. However, these schemes cannot be easily extended to the more practical case with the finite-queue traffic. In this paper, we design a resource allocation scheme in the finite- queue model to manage interference and keep the network stability. Considering the queue length and the dominant interference, we first construct the weighted interference graph. Then the resource allocation problem is cast into solving the maximum weight independent set problem. Finally, considering the overhead and system performance, we present a hybrid central/local algorithm according to the spatial and temporal varying pattern of traffic distribution. Simulation results show the proposed scheme can guarantee the queue stability and improve throughput in the finite-queue traffic model.
机译:在共享频谱的宏小区和毫微微小区网络中,资源分配方案的目标通常涉及在假设用户流量饱和的情况下最大化系统容量或维持公平性。但是,这些方案不能轻松地扩展到有限队列流量的更实际情况。在本文中,我们在有限队列模型中设计了一种资源分配方案,以管理干扰并保持网络稳定性。考虑队列长度和主要干扰,我们首先构造加权干扰图。然后将资源分配问题转化为求解最大权重独立集问题。最后,考虑到开销和系统性能,我们根据流量分布的时空变化模式提出了一种混合的中心/本地算法。仿真结果表明,所提方案能够在有限队列流量模型中保证队列的稳定性,提高吞吐量。

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