Licensed spectrum sharing (LSS) is an emerging scheme to improve spectrum efficiency by authorizing certain secondary spectrum licensees (SSLs) to share spectra with the primary spectrum licensees (PSLs). Spectrum trading is an effective way to implement LSS by offering incentives for PSLs to open their spectra. Although many research efforts have been devoted to such an economic-based scheme, most of them mainly focus on the trading part from the economic perspective, and the service provisioning related issues when implementing the trading-based LSS (TLSS) are generally ignored. In this article, we study the spectrum trading system from the service-oriented perspective considering all three aspects on SSLs, spectrum market, and PSLs, to promote the implementation of TLSS for the future. First, we introduce a cognitive capacity harvesting network architecture for SSLs to enable them to use the purchased PSLs' spectra for service provisioning. Then, considering the overhead on spectrum trading and sharing-based spectrum usage, we develop a hybrid-database-assisted model to facilitate TLSS, where information storage and trading process are carried locally, and the trading contextual information is clarified as well. Finally, we propose a service-oriented two-tier trading scheme, where two potential trading methods are discussed, namely, ex-post trading and ex-ante trading, which are especially suitable for trading the spectra with short-term and long-term availability, respectively.

中文翻译：

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面向服务的混合数据库辅助频谱交易：未来许可频谱共享的蓝图

许可频谱共享（LSS）是通过授权某些二级频谱被许可人（SSL）与主要频谱被许可人（PSL）共享频谱来提高频谱效率的新兴方案。频谱交易是通过鼓励PSL开放其频谱来实施LSS的有效方法。尽管已经针对这种基于经济的方案进行了许多研究工作，但是从经济角度来看，大多数研究主要集中在交易部分，并且在实施基于交易的LSS（TLSS）时与服务供应相关的问题通常被忽略。在本文中，我们将从面向服务的角度研究频谱交易系统，同时考虑SSL，频谱市场和PSL的所有三个方面，以促进未来TLSS的实施。第一的，我们为SSL引入了一种认知能力收集网络架构，以使它们能够使用购买的PSL的频谱进行服务供应。然后，考虑到频谱交易和基于共享的频谱使用的开销，我们开发了一个混合数据库辅助模型来促进TLSS，该模型在本地进行信息存储和交易过程，并阐明交易上下文信息。最后，我们提出了一种面向服务的两层交易方案，其中讨论了两种潜在的交易方法，即事后交易和事前交易，这两种方法特别适合于短期和长期频谱交易。可用性，分别。考虑到频谱交易和基于共享的频谱使用的开销，我们开发了一个混合数据库辅助模型来促进TLSS，该模型在本地进行信息存储和交易过程，并阐明交易上下文信息。最后，我们提出了一种面向服务的两层交易方案，其中讨论了两种潜在的交易方法，即事后交易和事前交易，这两种方法特别适合于短期和长期频谱交易。可用性，分别。考虑到频谱交易和基于共享的频谱使用的开销，我们开发了一个混合数据库辅助模型来促进TLSS，该模型在本地进行信息存储和交易过程，并阐明交易上下文信息。最后，我们提出了一种面向服务的两层交易方案，其中讨论了两种潜在的交易方法，即事后交易和事前交易，这两种方法特别适合于短期和长期频谱交易。可用性，分别。