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Iterative resource efficient power allocation in small cell network

机译：小型小区网络中的迭代资源高效功率分配

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摘要

The major considerations in designing wireless networks are spectral efficiency (SE) and energy efficiency (EE). Though it is desirable to enhance both SE and EE, however, a trade-off exists between the two. To deal with this trade-off, a new metric called the resource efficiency (RE) has already been proposed in the literature. With RE as a performance evaluation metric, a balance can be struck between the SE and EE. Resource allocation with RE as an objective has already been proposed in the literature for a conventional cellular network. However, RE for a small cell network (a.k.a. heterogeneous network) has not been investigated yet. Small cells increase the frequency reuse factor, thus significantly enhancing the capacity and coverage of cellular networks. While already being embraced into LTE, the small cell technology will be one of the main features of the 5G cellular networks. In this paper, we investigate the problem of power allocation for a small cell network. An optimization problem is formulated with the objective of maximizing the RE such that maximum power constraint is satisfied. Finally, we propose an iterative heuristic method called the Iterative Resource Efficient Power Allocation (IREPA) algorithm to solve the formulated problem. We compare the performance of the IREPA algorithm with the Gradient Based Optimal Power Adaptation Scheme and the Uniform Power Allocation Scheme. Numerical results demonstrate the effectiveness of the proposed power allocation technique that significantly improves the resource efficiency.
机译：设计无线网络的主要考虑因素是频谱效率（SE）和能量效率（EE）。尽管同时增强SE和EE是可取的，但是，两者之间存在折衷。为了解决这种折衷，文献中已经提出了一种新的度量标准，称为资源效率（RE）。将RE作为绩效评估指标，可以在SE和EE之间取得平衡。在文献中已经针对常规蜂窝网络提出了以RE为目标的资源分配。但是，尚未研究用于小型小区网络（也称为异构网络）的RE。小型小区增加了频率重用因子，从而显着增强了蜂窝网络的容量和覆盖范围。尽管已经被LTE所接受，但小蜂窝技术将成为5G蜂窝网络的主要功能之一。在本文中，我们研究了小型小区网络的功率分配问题。提出优化问题的目的是使RE最大化，从而满足最大功率约束。最后，我们提出了一种迭代启发式方法，称为迭代资源有效功率分配（IREPA）算法，以解决所提出的问题。我们将IREPA算法的性能与基于梯度的最佳功率自适应方案和统一功率分配方案进行了比较。数值结果证明了所提出的功率分配技术的有效性，该技术大大提高了资源效率。

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