基于概率模型的设备间通信缓存策略

Jianpeng Xu, Rong Chen, Mingzhi Xu, M. Jiang, Xuming Lu
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引用次数: 0

摘要

现有的许多设备到设备(D2D)通信辅助缓存技术的文献都侧重于概率缓存机制,而忽略了蜂窝系统的一些实际属性。针对现有方案的不足,提出了一种基于顺序无约束最小化(SUM)的概率缓存(SPC)方案,该方案考虑了蜂窝系统的一些特性,如信道质量要求、缓存用户设备(UE)的比例、UE的分布和缓存空间约束。然后,我们提出了一个概率缓存问题,目标是最大化成功卸载概率(SOP)。为了求解该问题,我们导出了近似解的封闭表达式,并应用SPC算法求出了最优解。最后,我们通过仿真分析了SOP的性能,结果表明,与现有方法相比,所提出的SPC方案具有显著的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic Model Based Caching Strategy for Device-to-Device Communications
Many existing literatures of device-to-device (D2D) communication aided caching technologies have focused on the probabilistic caching mechanism, while neglecting some practical attributes of the cellular system. Aiming at overcoming such a deficiency of existing schemes, we propose a sequential unconstrained minimization (SUM) based probabilistic cache (SPC) scheme, which takes into account some characteristics of the cellular system, such as the channel quality requirement, the proportion of caching user equipment (UE), UEs' distribution and cache space constraints. Then, we formulate a probabilistic cache problem with a goal to maximize the successful offloading probability (SOP). To solve it, we derive the closed-form expression of the approximated solution and apply the SPC algorithm to obtain the optimal solution. Finally, we analyze the performance of the SOP by simulations, which show that the proposed SPC scheme can achieve notable benefits in comparison to existing methods.
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