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Resource Allocation for Practical Two-Tier Heterogeneous Cellular Networks

机译:实用的两层异构蜂窝网络的资源分配

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Heterogeneous cellular Network (HetNet) has emerged as a promising technology for 5G 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 the scarce resources such as frequency, time, power and spatial resource are shared among UEs in the system and also how interference is controlled. In this work, we mainly consider how the powers and spatial directions (normalized beamforming vectors) are shared among UEs. We formulate our spatial resource allocation problem as maximizing the weighted sumrate of HetNet while fulfilling some power, QoS and interference constraints. This optimization problem is NP-hard and nonconvex. We reformulate it into a convex feasibility problem and solve using SeDumi. Our proposed power resource allocation problem is formulated as maximizing the sum-rate of each cell while satisfying the minimum QoE1 of each UE. This problem is convex and therefore can be solved efficiently using CVX (a package for specifying and solving convex programs). Simulation results of our proposed method when compared with other existing methods show significant improvement.
机译:异构蜂窝网络(HetNet)已经成为5G的有希望的技术,可用于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的性能将取决于如何在系统中的UE之间共享诸如频率,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,我们主要考虑如何在UE之间共享功率和空间方向(归一化波束成形矢量)。我们将空间资源分配问题公式化为在满足一些功率,QoS和干扰约束的同时最大化HetNet的加权和。这个优化问题是NP难的和非凸的。我们将其重新表述为凸的可行性问题,并使用SeDumi解决。我们提出的功率资源分配问题被公式化为在满足每个UE的最小QoE1的同时最大化每个小区的总速率。这个问题是凸的,因此可以使用CVX(用于指定和求解凸程序的程序包)有效地解决。与其他现有方法相比,我们提出的方法的仿真结果显示出明显的改进。

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