具有中心/边缘用户的蜂窝网络时空特性分析
Spatio-Temporal Analysis of Cellular Networks with Cell-Center/Edge Users
摘要：
各种类型业务的出现带来了蜂窝网络中业务量的爆炸式增长以及多样化的业务特性。全面了解各种业务状况对网络性能的影响对于下一代无线网络的部署至关重要。在本文中，我们开发了一个数学分析模型，利用排队论和随机几何的交通和地理位置的随机性，可以捕获。我们分别推导出了小区中心用户（CCU）和小区边缘用户（CEU）的条件成功概率的b阶矩和Meta分布的闭式表达式。然后，考虑随机到达业务量，建立固定点方程，得到Meta分布的精确值，揭示了随机到达业务量对排队状态的影响.此外，推导了CCU和CEU的平均本地延迟，并得到了CCU和CEU的平均本地延迟保持有限的相应区域。最后，通过数值计算，分析了临界网络参数对Meta分布和平均局部时延的影响。
英文摘要：
Emergence of various types of services has brought about explosive growth of traffic as well as diversified traffic characteristics in the cellular networks. To have a comprehensive understanding of the influences caused by various traffic status is vital for the deployment of the next-generation wireless networks. In this paper, we develop a mathematical analytical model by utilizing queuing theory and stochastic geometry where the randomness of the traffic and the geographical locations of the interferers can be captured. We derive the b-th moments of the conditional success probability and the closed-form expressions of the meta distribution for the cell-center users (CCUs) and the cell-edge users (CEUs), respectively. Fixed-point equations are then formulated to obtain the exact value of the meta distribution by taking the random arrival traffic into consideration and the impact of the random arrival traffic on the queue status is revealed. In addition, the mean local delays for CCUs nad CEUs are derived and the corresponding regions for CCUs and CEUs where the mean local delays maintain finite are obtained. Finally, the impact of the critical network parameters on the meta distribution and the mean local delay is investigated with the numerical results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
