采用自底向上的LRIC模型计算移动运营商的无线电频谱值

Santiago Andrés Azcoitia, M. Fernández, Luis Manuel Guijarro Verdura
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引用次数: 8

摘要

电信部门对允许利益相关者计算无线电频谱价值的经济模型的需求日益增长。这种日益增长的需求是由于频谱需求和提供的增长。在需求方面,飞速增长的移动宽带使得移动运营商需要额外的频谱来提高他们的网络效率。在提供方方面,技术中立性(重新耕种)、更好的频谱使用(数字红利)和新频段(2.6 GHz)的授权为移动通信提供了大量的频谱带宽。本文将展示自下而上的长期运行增量成本(LRIC)模型如何帮助计算频谱的经济价值,以提高移动网络效率,无论是作为独立工具还是集成在更复杂的经济模型中。通过对某典型移动运营商900 MHz频段重组的实例研究,指出了频谱分配变化的短期效应的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using bottom-up LRIC models to calculate radio spectrum value for mobile operators
There is a growing demand in the telecom sector for economic models that allow stakeholders to calculate the value of radio spectrum. This increasing necessity is due to growth of both spectrum demand and offer. On the demand side, soaring mobile broadband has made mobile operators demand additional spectrum to improve their network efficiencies. Regarding the offer side, technology neutrality (refarming), better spectrum usage (digital dividend) and authorization of new bands (2,6 GHz) make available a significant spectrum bandwidth for mobile communications. In this article it will be shown how bottom-up long run incremental cost (LRIC) models may help to calculate the economic value of spectrum in terms of improvement of mobile network efficiency, either as a stand-alone tool or integrated in more complex economic models. Importance of short run effects of changes in spectrum allocation are remarked using a case study on 900 MHz band refarming in a typical mobile operator.
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