论文标题
优化聚类D2D网络的关节概率缓存和通道访问
Optimizing Joint Probabilistic Caching and Channel Access for Clustered D2D Networks
论文作者
论文摘要
移动设备的缓存和利用设备到设备（D2D）通信是两种有前途的方法，可以支持无线网络上的大量内容交付。通常通过假设分布式设备进行基于物理干扰模型的这种D2D缓存网络的分析。但是，这种方法不会捕获设备群集的概念。在这方面，本文提出了针对聚类D2D网络的联合通信和缓存优化框架。设备在空间上分布到不相交的簇中，并假定具有剩余的存储器，该内存可用于主动缓存文件，按照随机的概率缓存方案。通过共同优化通道访问和缓存方案，可以最大程度地提高缓存卸载增益。获得了封闭形式的缓存解决方案，并采用了一分配搜索方法来启发启发式获得最佳通道访问概率。结果表明，与ZIPF缓存基线相比，卸载增益达到10％的幅度显着改善。
Caching at mobile devices and leveraging device-to-device (D2D) communication are two promising approaches to support massive content delivery over wireless networks. Analysis of such D2D caching networks based on a physical interference model is usually carried out by assuming uniformly distributed devices. However, this approach does not capture the notion of device clustering. In this regard, this paper proposes a joint communication and caching optimization framework for clustered D2D networks. Devices are spatially distributed into disjoint clusters and are assumed to have a surplus memory that is utilized to proactively cache files, following a random probabilistic caching scheme. The cache offloading gain is maximized by jointly optimizing channel access and caching scheme. A closed-form caching solution is obtained and bisection search method is adopted to heuristically obtain the optimal channel access probability. Results show significant improvement in the offloading gain reaching up to 10% compared to the Zipf caching baseline.
