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Reducing the energy consumption of small cell networks subject to QoE constraints

机译：减少受QoE约束的小型蜂窝网络的能耗

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Small cell networks (SCNs) are widely considered as a promising solution for future cellular deployments. Lately, the benefits of small cells to improve spectrum utilization and the user quality of experience (QoE) have been well documented. In addition, the power consumption of current deployments, for instance due to idle power and cooling equipment, is a major concern for operators. Small cells offer the opportunity for more dynamic power management of base stations, due to coverage overlaps and larger spatio-temporal load fluctuations. Yet, such power management decisions (e.g. turning off a base station) should not lead to excessive performance degradation for users associated with it or additional power consumption. This tradeoff becomes significantly more challenging to evaluate in future networks, due to the diversity of services offered to users beyond the traditional voice calls, as well as the complexity of traffic scheduling algorithms. The goal of this paper is to make a first step towards an analytical investigation of this tradeoff. To this end, we propose a number of QoE constraints that a power management decision should consider, and analytically relate them to key parameters such as user traffic mix, cell load, user density, etc. We then use this framework to perform a preliminary study of the potential energy savings an operator could achieve, while guaranteeing the satisfaction of these constraints. Our results provide some qualitative and quantitative insights on the interesting tradeoff between switch-off duration and number of small cells one can safely switch off.
机译：小型蜂窝网络（SCN）被广泛认为是未来蜂窝部署的有前途的解决方案。近来，小型蜂窝小区改善频谱利用率和用户体验质量（QoE）的好处已得到充分证明。此外，当前部署的功耗（例如由于闲置的电源和冷却设备所引起的功耗）是运营商的主要关注点。由于覆盖重叠和较大的时空负载波动，小型小区为基站的动态功率管理提供了机会。然而，这种功率管理决定（例如，关闭基站）不应导致与其相关联的用户过度的性能下降或额外的功率消耗。由于要提供给用户的服务超出了传统的语音呼叫范围，而且业务调度算法的复杂性，这种权衡在未来的网络中进行评估变得更具挑战性。本文的目的是迈出对此折衷进行分析研究的第一步。为此，我们提出了电源管理决策应考虑的许多QoE约束，并将它们与关键参数进行分析关联，例如用户流量混合，小区负载，用户密度等。然后，我们使用此框架进行初步研究。操作员可以实现的潜在节能量，同时保证满足这些约束条件。我们的研究结果提供了一些有关定性关闭时间和可以安全关闭的小蜂窝数量之间有趣折衷的定性和定量见解。

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