Energy optimization of a cellular network with minimum bit-rate guarantee

A. Ansari, B. Jaumard, C. Cavdar
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引用次数: 3

Abstract

Energy optimization in cellular networks has been studied using different perspectives in the literature: sleep patterns, network interference, association of users and base stations, resource allocation of resources (bandwidth and power), etc. All these means have been discussed individually in previous works. However, none of the existing works has succeeded in proposing an exact mathematical model that takes into account several of these parameters simultaneously. In this article, we propose a first exact modelling of several network parameters and their interaction in order to minimize the energy consumption in a LTE cellular network. The optimization model guarantees to satisfy all the users with a minimum quality of service (data rate). Its exact solution allows energy savings of up to 50% in a moderately loaded network, which leads to energy savings up to twice that of the heuristic proposed by Piunti et al., (2015). Various numerical results are presented on hexagonal and randomly generated cellular networks.
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具有最小比特率保证的蜂窝网络能量优化
文献从不同角度研究了蜂窝网络中的能量优化:睡眠模式、网络干扰、用户和基站的关联、资源分配(带宽和功率)等。所有这些方法在以前的作品中已经单独讨论过。然而,现有的工作还没有成功地提出一个精确的数学模型,同时考虑到这些参数。在本文中,我们提出了几个网络参数及其相互作用的第一个精确建模,以尽量减少LTE蜂窝网络中的能量消耗。该优化模型保证以最小的服务质量(数据速率)满足所有用户。其精确的解决方案允许在中等负载的网络中节省高达50%的能源,这导致节能高达Piunti等人(2015)提出的启发式方法的两倍。给出了六边形和随机生成的蜂窝网络的各种数值结果。
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Keynote speaker Keynote speaker Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Bari, Italy, October 19–21, 2020, Proceedings Retraction Note to: Mobility Aided Context-Aware Forwarding Approach for Destination-Less OppNets Ad-Hoc, Mobile, and Wireless Networks: 18th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2019, Luxembourg, Luxembourg, October 1–3, 2019, Proceedings
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