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利用基于凹点搜索和最短距离的构造分离线的方法分离串联淋巴细胞时,需要自动实现 相应凹区域的配对。对于两个细胞粘连的情况,由于恰好存在两个凹区域,故不存在自动配对问题 对于三个细胞串联、存在三个凹区域的情况,通过判断分离线是否与核心三角形相交实现自动配对 对于三个细胞串联、存在四个凹区域的情况,先计算各凹区域到核心钝角三角形的最短距离、同时获得四个端点,然后利用其坐标与核心坐标的关系进行自动配对。设计的分离方法能够满足两个细胞粘连和三个细胞串联情况的准确、快速、自动分离.-Auto pairing of the separation pair points in overlapping cells
Date : 2025-12-19 Size : 500kb User : yan

To address the ever increasing high data rate and connectivity requirements in the next generation 5G wireless network, novel radio access technologies (RATs) are actively explored to enhance the system spectral efficiency and connectivity. As a promising RAT for 5G cellular networks, nonorthogonal multiple access (NOMA) has attracted extensive research attentions. Compared with orthogonal multiple access (OMA) that has been widely applied in existing wireless communication systems, NOMA possesses the potential to further improve system spectral efficiency and connectivity capability. This paper develops analytical frameworks for NOMA downlink and uplink multi-cell wireless systems to evaluate the system outage probability and average achievable rate. In the downlink NOMA system, two different NOMA group pairing schemes are considered, based on which theoretical results on outage and achievable data rates are derived. In the uplink NOMA, revised back-off power control scheme is applied and outage probability and per UE average achievable rate are derived. As wireless networks turn into more and more densely deployed, inter-cell interference has become a dominant capacity limiting factor but has not been addressed in most of the existing NOMA studies. In this paper a stochastic geometry approach is used to model a dense wireless system that supports NOMA on both uplink and downlink, based on which analytical results are derived either in pseudo-closed forms or succinct closed forms and are further validated by simulations. Numerical results demonstrate that NOMA can bring considerable system-wide performance gain compared to OMA on both uplink and downlink when properly designed
Date : 2021-08-30 Size : 6.39mb User : dipfr@yahoo.fr
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