On spectrum sharing among micro-operators in 5G

Tachporn Sanguanpuak, Sudarshan Guruacharya, E. Hossain, Nandana Rajatheva, M. Latva-aho
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引用次数: 13

Abstract

The growing demand in indoor small cell networks has given rise to the concept of micro-operators (MOs) for local service delivery. We model and analyze a spectrum sharing system involving such MOs where a buyer MO buys multiple licensed subbands provided by the regulator. All small cell base stations (SBSs) owned by a buyer MO can utilize multiple licensed subbands. Once the buyer MO obtain subbands, it allows other MOs to share these subbands. A deterministic model in which the location of the SBSs are known can lead to unwieldy problem formulation, when the number of SBSs is large. As such, we adopt a stochastic geometric model of the SBS deployment instead of a deterministic model. Assuming that the locations of the SBSs can be modeled as a homogeneous Poisson point process, we find the downlink signal-to-interference-plus-noise ratio (SINR) coverage probability and average data rate for a typical user (UE) served by the buyer MO in a spectrum sharing environment. In order to satisfy the QoS constraint, we provide a greedy algorithm to find how many licensed subbands and which subband the buyer MO should purchase from the regulator. We also derive the coverage probability of the buyer MO for interference limited system.
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5G微运营商频谱共享研究
室内小型蜂窝网络日益增长的需求已经产生了用于本地服务交付的微型运营商(MOs)的概念。我们对涉及此类MOs的频谱共享系统进行建模和分析,其中买方MO购买监管机构提供的多个许可子频段。买方MO拥有的所有小蜂窝基站(SBSs)都可以使用多个许可子频段。一旦买方MO获得子带,它允许其他MO共享这些子带。当sbs数量很大时,已知sbs位置的确定性模型可能导致难以处理的问题表述。因此,我们采用SBS部署的随机几何模型而不是确定性模型。假设SBSs的位置可以建模为齐次泊松点过程,我们找到了频谱共享环境下买方MO服务的典型用户(UE)的下行信噪比(SINR)覆盖概率和平均数据速率。为了满足QoS约束,我们提供了一种贪心算法来确定有多少许可子带以及买方MO应该从监管机构购买哪个子带。我们还推导了干扰有限系统下买方MO的覆盖概率。
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