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UE-centric clustering and resource allocation for practical two-tier heterogeneous cellular networks

机译:实用的两层异构蜂窝网络的以UE为中心的群集和资源分配

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摘要

The heterogeneous cellular network (HetNet) has emerged as a promising technology for the fifth generation mobile networks that can be used to meet high demand of data rate and better quality of service (QoS) performance. However, the performance of HetNet will depend on how scarce resources such as frequency, time, power and spatial resource are shared among user equipments (UEs) in the system and also how interference is controlled. In this work, we utilise UE-Centric clustering as a tool to effectively determine the interfering base stations (BSs) that cause significant interference to each UE in the network. These interfering BSs together with the serving BSs of these interfered UEs will coordinate and make resource allocation (RA) decisions together to allocate spatial directions to each UE in the network in order to manage interference in the network. We formulate the RA problem as maximizing the weighted sum-rate of the HetNet while fulfilling power, QoS and interference constraints. This optimization problem is non-convex. We readily split the RA problem into two sub-problems: the spatial direction allocation problem and the power allocation problem, respectively. We are able to solve these problems efficiently using SeDumi. Simulation results of our proposed method, show significant improvement.
机译:异构蜂窝网络(HetNet)已经成为第五代移动网络的有希望的技术,可以用来满足对数据速率的高要求和更好的服务质量(QoS)性能。但是,HetNet的性能将取决于系统中用户设备(UE)之间如何共享诸如频率,时间,功率和空间资源之类的稀缺资源,以及如何控制干扰。在这项工作中,我们利用以UE为中心的群集作为一种工具来有效地确定会对网络中的每个UE造成重大干扰的干扰基站(BS)。这些干扰的BS以及这些被干扰的UE的服务BS将一起协调并做出资源分配(RA)决策,以将空间方向分配给网络中的每个UE,以便管理网络中的干扰。我们将RA问题公式化为在满足功率,QoS和干扰约束的同时最大化HetNet的加权和速率。此优化问题是非凸的。我们很容易将RA问题分为两个子问题:空间方向分配问题和功率分配问题。我们能够使用SeDumi有效解决这些问题。我们提出的方法的仿真结果显示出明显的改进。

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