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首页> 外文期刊>Wireless Communications, IEEE Transactions on >Hierarchical Power Control With Interference Allowance for Uplink Transmission in Two-Tier Heterogeneous Networks
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Hierarchical Power Control With Interference Allowance for Uplink Transmission in Two-Tier Heterogeneous Networks

机译:两层异构网络中具有上行链路传输允许干扰的分级功率控制

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摘要

In this paper, we propose a hierarchical power control (PC) algorithm with interference allowance (IA) in two-tier heterogeneous networks. Specifically, we consider a scenario where densely deployed femtocells exhibit on–off activity and a target macrocell base station (BS) is able to dynamically measure/estimate the sum interference from femtocell users in uplink transmission. In such a scenario, to mitigate the aggregate interference (AGGI) from active femtocells, the macrocell BS first decides macrocell user power based on the average uplink power budget, and then the IA per femtocell under hierarchical structure. Femtocell users then allocate their transmit power within the IA to suppress the cross-tier interference in heterogeneous networks. The PC algorithm should reflect the number of active femtocells to effectively control the AGGI, for which we propose a centralized sensing algorithm to estimate the number of active femtocells. Further, to track both the on–off activity and the random variations due to shadowing, we implement an iterative sensing algorithm which does not require cross-tier channel gains, suitable for wireless backhaul with higher latency and lower capacity. The iterative algorithm is shown to outperform the utility-based distributed power adaptation that requires the cross-tier channel gains, in terms of total cell throughput subject to the same outage rate.
机译:在本文中,我们提出了一种在两层异构网络中具有干扰余量(IA)的分层功率控制(PC)算法。具体来说,我们考虑这样一种场景:密集部署的毫微微小区会显示开-关活动,并且目标宏小区基站(BS)能够动态测量/估计毫微微小区用户在上行链路传输中的总干扰。在这种情况下,为了减轻来自活动的毫微微小区的总干扰(AGGI),宏小区BS首先根据平均上行链路功率预算来确定宏小区用户功率,然后基于分层结构来确定每个毫微微小区的IA。然后,毫微微小区用户在IA内分配其发射功率,以抑制异构网络中的跨层干扰。 PC算法应反映活跃的毫微微小区的数量以有效地控制AGGI,为此,我们提出了一种集中式感知算法来估计活跃的毫微微小区的数量。此外,为了跟踪开关活动和由于阴影引起的随机变化,我们实现了一种迭代感应算法,该算法不需要跨层信道增益,适用于具有较高延迟和较低容量的无线回程。迭代算法显示出优于基于公用事业的分布式功率自适应,后者需要跨层信道增益,总单元吞吐量受相同的中断率影响。

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