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arXiv 1807.10481cs.ITmath.IT
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授权频谱共享中的频谱匹配

Spectrum Matching in Licensed Spectrum Sharing

M. Majid Butt, Irene Macaluso, Eduard A. Jorswieck, Julie Bradford, Nicola Marchetti, Linda Doyle

摘要:

频谱共享是满足5G网络频谱需求的有前途的解决方案之一,这些需求来自机器对机器和车辆对基础设施通信等新兴服务。这个想法是允许一组实体在授权用户未使用频谱的任何时候和任何地方访问频谱。在所提出的框架中,具有可用的剩余频谱的不同频谱提供商(SP)网络可以例如基于SU的目标业务市场考虑,根据需要频谱的运营商(下文称为频谱用户(SU))对租用频谱的偏好来对需要频谱的运营商进行不同的排名。类似地,SU根据多个标准(例如,基于服务区域中的覆盖和可用性)对SP进行排名。理想情况下,SP和SU都倾向于向/从其第一选择的运营商提供/获得频谱,但由于偏好冲突,这不一定总是可能的。我们应用匹配理论算法的目的是解决冲突的SP和SU的偏好,并量化所提出的匹配理论方法对建立首选(频谱)提供商-用户网络对的影响。我们讨论了一对一和多对一的频谱共享的情况下,并使用蒙特卡罗模拟的性能进行评估。结果表明,综合收益方面的首选匹配的供应商-用户网络对可以实现通过应用匹配理论的频谱共享相比,不协调的频谱分配的可用频谱的SU。

英文摘要:

Spectrum sharing is one of the promising solutions to meet the spectrum demand in 5G networks that results from the emerging services like machine to machine and vehicle to infrastructure communication. The idea is to allow a set of entities access the spectrum whenever and wherever it is unused by the licensed users. In the proposed framework, different spectrum provider (SP) networks with surplus spectrum available may rank the operators requiring the spectrum, called spectrum users (SUs) hereafter, differently in terms of their preference to lease spectrum, based for example on target business market considerations of the SUs. Similarly, SUs rank SPs depending on a number of criteria, for example based on coverage and availability in a service area. Ideally, both SPs and SUs prefer to provide/get spectrum to/from the operator of their first choice, but this is not necessarily always possible due to conflicting preferences. We apply matching theory algorithms with the aim to resolve the conflicting preferences of the SPs and SUs and quantify the effect of the proposed matching theory approach on establishing preferred (spectrum) provider-user network pairs. We discuss both one-to-one and many-to-one spectrum sharing scenarios and evaluate the performance using Monte Carlo simulations. The results show that comprehensive gains in terms of preferred matching of the provider-user network pairs can be achieved by applying matching theory for spectrum sharing as compared to uncoordinated spectrum allocation of the available spectrum to the SUs.

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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