论文标题
带有流量动态的泊松网络中SINR分析的统一框架
A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
论文作者
论文摘要
我们研究了一类Poisson网络的无线链接的性能，其中数据包在Bernoulli流程后到达发射机。通过将随机几何形状与排队理论相结合，分析了两种基本措施，即传播成功概率和信号与互发加值比率（SINR）的元分布。不同于传统的方法在整个节点上采用独立的活性状态并使用均匀的点过程来建模干扰物的位置，我们的分析解释了空间中发射机的活性状态之间的相互依存关系，并到达非均匀点的过程，以实现干扰器位置建模，从而导致更准确的表征sinr的表征。通过模拟验证了理论结果的准确性，然后使用开发的框架来制定无线网络部署策略的设计指南。
We study the performance of wireless links for a class of Poisson networks, in which packets arrive at the transmitters following Bernoulli processes. By combining stochastic geometry with queueing theory, two fundamental measures are analyzed, namely the transmission success probability and the meta distribution of signal-to-interference-plus-noise ratio (SINR). Different from the conventional approaches that assume independent active states across the nodes and use homogeneous point processes to model the locations of interferers, our analysis accounts for the interdependency amongst active states of the transmitters in space and arrives at a non-homogeneous point process for the modeling of interferers' positions, which leads to a more accurate characterization of the SINR. The accuracy of the theoretical results is verified by simulations, and the developed framework is then used to devise design guidelines for the deployment strategies of wireless networks.
