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An inventory model-based spectrum pooling for wireless service provider and unlicensed users

机译:无线服务提供商和无执照用户的基于清单模型的频谱池

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In order to comply with more opportunistic and transient service requirements, many research literatures have paid attention to an approach called spectrum pooling. If we imagine a scenario in which wireless service providers (WSPs) manage the spectrum pool, the radio spectrum itself will be traded as done in a market-based scenario, and moreover, every WSP will likely require new strategies in order to make more profits under such dynamic service requirements. Up to now, most researches have concentrated on investigating the inter-WSP strategies such as market equilibrium under the consideration of noncoop-erative or cooperative WSPs. In this paper, we direct our attentions to an intra-WSP strategy: a WSP coordinates the spectrum order in order to minimize its cost. To this end, we deploy a probabilistic inventory model that helps WSPs to determine economic order quantity and reorder point yielding minimum total expected cost. The total cost is composed of ordering cost, holding cost, and stockout cost. We believe that this model will be the first investigation of intra-WSP strategy that manages and estimates economic aspects of the spectrum pooling.
机译:为了满足更多的机会性和瞬态服务需求,许多研究文献已经关注了一种称为频谱池的方法。如果我们设想一个由无线服务提供商(WSP)管理频谱池的方案,那么无线电频谱本身将像基于市场的方案那样进行交易,而且,每个WSP都可能需要新的策略以获取更多利润。在这种动态服务需求下。迄今为止,大多数研究都集中在研究非合作或合作WSP的情况下,研究WSP间战略,例如市场均衡。在本文中,我们将注意力集中在WSP内策略:WSP协调频谱顺序以最小化其成本。为此,我们部署了一个概率库存模型,该模型可以帮助WSP确定经济订单数量和再订货点,从而产生最小的总预期成本。总成本包括订购成本,持有成本和缺货成本。我们相信,该模型将是对WSP内策略的首次调查,该策略可管理和估计频谱池的经济方面。

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