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Enhancing Performance of Random Caching in Large-Scale Heterogeneous Wireless Networks With Random Discontinuous Transmission

机译:具有随机不连续传输的大型异构无线网络中随机缓存的增强性能

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To make better use of file diversity provided by random caching and improve the successful transmission probability (STP) of a file, we consider retransmissions with random discontinuous transmission (DTX) in a large-scale cache-enabled heterogeneous wireless network employing random caching. We analyze and optimize the STP in two mobility scenarios, i.e., the high mobility scenario and the static scenario. First, in each scenario, by using tools from stochastic geometry, we obtain a closed-form expression for the STP in the general signal-to-interference ratio (SIR) threshold regime. The analysis shows that a larger caching probability corresponds to a higher STP in both scenarios; random DTX can improve the STP in the static scenario and its benefit gradually diminishes when mobility increases. In each scenario, we also derive a closed-form expression for the asymptotic outage probability in the low SIR threshold regime. The asymptotic analysis shows that the diversity gain is jointly affected by random caching and random DTX in both scenarios. Then, in each scenario, we consider the maximization of the STP with respect to the caching probability and the BS activity probability, which is a challenging non-convex optimization problem with a complex objective function. In particular, in the high mobility scenario, we obtain a globally optimal solution. In the static scenario, we develop a low-complexity iterative algorithm to obtain a stationary point. Finally, numerical results show that the proposed solutions achieve significant gains over existing baseline schemes and can well adapt to the changes of the system parameters to wisely utilize storage resources and transmission opportunities.
机译:为了更好地利用随机缓存提供的文件多样性并提高文件的成功传输概率(STP),我们考虑在采用随机缓存的大规模启用缓存的异构无线网络中使用随机不连续传输(DTX)进行重传。我们分析和优化了两种移动方案中的STP,即高移动性方案和静态方案。首先,在每种情况下,通过使用随机几何中的工具,我们可以在一般的信号干扰比(SIR)阈值范围内获得STP的闭式表达式。分析表明,在两种情况下,较大的缓存概率都对应较高的STP。随机DTX可以改善静态情况下的STP,并且随着移动性的提高,其优势会逐渐消失。在每种情况下,我们还针对低SIR阈值条件下的渐进式中断概率得出闭合形式的表达式。渐近分析表明,在两种情况下,随机缓存和随机DTX共同影响分集增益。然后,在每种情况下,我们都考虑到STP在缓存概率和BS活动概率方面的最大化,这是具有复杂目标函数的具有挑战性的非凸优化问题。特别是在高移动性的情况下,我们获得了全球最佳的解决方案。在静态情况下,我们开发了一种低复杂度的迭代算法来获取固定点。最后,数值结果表明,所提出的解决方案比现有的基线方案有显着的提高,并且可以很好地适应系统参数的变化,从而明智地利用存储资源和传输机会。

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