具有随机DTX的Cache使能网络的Meta分布和局部时延分析与优化
On Meta Distribution and Local Delay for Cache-Enabled Networks with Random DTX: Analysis and Optimization
摘要：
对启用缓存的网络进行细粒度分析对于系统设计至关重要。在本文中，我们专注于Meta分布的信号干扰比（SIR）的缓存使能网络中的基站（BS）的位置被建模为泊松点过程（PPP）。在随机缓存和随机不连续传输（DTX）机制的基础上，利用随机几何方法推导了条件成功传输概率（STP）的矩、精确Meta分布及其beta近似。局部延迟的均值和方差的封闭形式表达式（即，网络抖动）。然后，我们考虑最大化的平均STP和最小化的平均系统传输延迟，通过联合优化缓存概率和BS的活动概率。最后，数值结果表明，所提出的优化方案优于现有的缓存策略，并揭示了缓存启用网络的平均STP，STP方差，Meta分布，平均本地延迟和网络抖动方面的关键网络参数的影响。
英文摘要：
A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference ratio (SIR) for the cache-enabled networks where the locations of the base stations (BSs) are modeled as a Poisson point process (PPP). With the application of the random caching and the random discontinuous transmission (DTX) schemes, we derive the moments of the conditional successful transmission probability (STP), the exact meta distribution and its beta approximation by utilizing stochastic geometry. The closed-form expressions of the mean and variance of the local delay (i.e., the network jitter) are also derived. We then consider the maximization of the mean STP and the minimization of the average system transmission delay by jointly optimizing the caching probability and the BS active probability. Finally, the numerical results demonstrate the superiority of the proposed optimization schemes over the existing caching strategies and reveal the impacts of the key network parameters on the cache-enabled networks in terms of mean STP, STP variance, meta distribution, mean local delay and network jitter.
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。
