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A Load-Aware Base Station Switch-Off Technique for Enhanced Energy Efficiency and Relatively Identical Outage Probability

机译:一种负载感知基站关闭技术,可提高能源效率和相对相同的断电概率

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Switching off base stations is a popular approach to improving the energy efficiency a network. The challenge is how to determine which and how many base stations to switch off given a network configuration while ensuring that the network coverage is not compromised. Different algorithms have been formulated to solve this challenge ranging from load-aware algorithms to random selection. Results show that load-aware algorithms have better performance. Most algorithms assume universal frequency reuse by all base stations even in the case of heterogeneous networks. In this paper we assume an indoor, femtocell network where subcarrier allocation is based on an existing subcarrier allocation technique which ensures maximum reuse. A load-aware base station switch-off algorithm is developed that uses the allocation matrix when all base stations are active and an estimate of required subcarriers by each base station to determine which base stations to switch off. It will be shown that even without any power control, the proposed technique can result in significant energy savings for lower femtocell densities.
机译:关闭基站是提高网络能效的一种流行方法。面临的挑战是如何确定在给定网络配置的情况下要关闭哪些基站以及要关闭多少个基站,同时确保不影响网络覆盖范围。从负载感知算法到随机选择,已经制定了各种算法来解决这一难题。结果表明,负载感知算法具有更好的性能。即使在异构网络的情况下,大多数算法都假定所有基站都可以进行通用的频率复用。在本文中,我们假设一个室内的毫微微小区网络,其中子载波分配基于确保最大复用的现有子载波分配技术。开发了一种负载感知基站关闭算法,该算法在所有基站均处于活动状态时使用分配矩阵,并使用每个基站对所需子载波的估计来确定要关闭哪些基站。将会显示,即使没有任何功率控制,所提出的技术也可以为较低的毫微微小区密度带来显着的节能效果。

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