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Knowledge-based update of primary exclusive region for database-driven spectrum sharing towards 5G

机译:基于知识的数据库驱动频谱分享到5G的主要独占区域的更新

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To realize high-speed and high-capacity 5G mobile networks, secondary users (SUs) may opportunistically use licensed spectrum allocated to primary users (PUs). This paper presents a framework to deal with the situation that occurs when a PU suffers harmful interference caused by the secondary use of the spectrum allocated to it. Here, the PU is assumed to be a radar system. In our proposed framework, the PU informs the database that it is suffering harmful interference. Receiving this information, the database updates the primary exclusive region (PER), where SUs are prohibited from using the licensed spectrum. The updated PER depends on the current knowledge of the SUs, which is stored in the database. We assume a circular PER centered at the primary receiver (PR) and derive its optimal radius using stochastic geometry. For each type of SU knowledge stored in the database, we evaluate the optimal PER radius for a target probability at which the PU suffers harmful interference. The results show that more detailed knowledge of the SU density and transmission powers leads to a smaller updated PER radius. Hence, a more efficient spatial reuse of the licensed spectrum is achieved.
机译:为了实现高速和高容量5G移动网络,二级用户(SUS)可能会机会使用分配给主用户(PU)的许可频谱。本文介绍了一个框架,以处理PU因分配给它的频谱的二次使用造成的有害干扰而发生的情况。这里,假设PU是雷达系统。在我们提出的框架中,PU通知数据库遭受有害干扰。收到此信息,数据库更新主要独占区域(PER),其中禁止使用许可频谱。更新的每个依赖于存储在数据库中的SUS的当前知识。我们假设在主接收器(PR)处为中心,并使用随机几何来得出其最佳半径。对于存储在数据库中的每种类型的SU知识,我们评估每半径的最佳目标概率,该目标概率在其受到有害干扰的情况下。结果表明,苏密度和传输功率的更详细知识导致每半径更新较小。因此,实现了许可频谱的更有效的空间再利用。

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