arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1407.0344cs.NIcs.ITmath.IT
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迈向高能效的5G无线通信技术

Toward Energy-Efficient 5G Wireless Communications Technologies

R. L. G. Cavalcante, S. Stańczak, M. Schubert, A. Eisenblätter, U. Türke

摘要:

无线网络的密集化和扩展对能源效率提出了新的挑战。随着基础设施节点的急剧增加(例如,小型小区的超密集部署),总能耗可能容易超过可接受的水平。虽然大多数研究集中在天线辐射的能量上,但总能量预算的较大部分实际上由硬件消耗(例如,冷却器和电路能耗)。因此,关闭基础设施节点(或其部分)或根据流量调整传输策略的能力将成为未来无线架构的重要设计方面。网络基础设施应被视为可以按需占用或释放的资源。然而,这种系统的建模和优化是复杂的有源节点之间的潜在干扰耦合。在这篇文章中,我们对这个问题的不同方面进行了概述。我们展示了如何利用交通模式的先验知识进行优化。然后,我们讨论了干涉函数的框架,它已被证明是一个有用的工具,在文献中的各种类型的耦合系统。最后,我们介绍了不同类别的算法,其目标是通过适应网络配置的流量负载来提高能源效率。

英文摘要:

The densification and expansion of wireless networks pose new challenges on energy efficiency. With a drastic increase of infrastructure nodes (e.g. ultra-dense deployment of small cells), the total energy consumption may easily exceed an acceptable level. While most studies focus on the energy radiated by the antennas, the bigger part of the total energy budget is actually consumed by the hardware (e.g., coolers and circuit energy consumption). The ability to shutdown infrastructure nodes (or parts of it) or to adapt the transmission strategy according to the traffic will therefore become an important design aspect of future wireless architectures. Network infrastructure should be regarded as a resource that can be occupied or released on demand. However, the modeling and optimization of such systems are complicated by the potential interference coupling between active nodes. In this article, we give an overview on different aspects of this problem. We show how prior knowledge of traffic patterns can be exploited for optimization. Then, we discuss the framework of interference functions, which has proved a useful tool for various types of coupled systems in the literature. Finally, we introduce different classes of algorithms that have the objective of improving the energy efficiency by adapting the network configuration to the traffic load.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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