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On the Economic Value of Mobile Caching

机译：论移动缓存的经济价值

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摘要

Recent growth in user demand for mobile data has strained mobile network infrastructure. One possible solution is to use mobile (i.e., moving) devices to supplement existing infrastructure according to users’ needs at different times and locations. For instance, vehicles can be used as communication relays or computation points. However, it is unclear how much value these devices add relative to their deployment costs: they may, for instance, interfere with existing network infrastructure, limiting the potential benefits. We take the first step towards quantifying the value of this supplemental infrastructure by examining the use case of mobile caches. We consider a network operator using both mobile (e.g., vehicular) and stationary (small cell) caches, and find the optimal amount of both types of caches under time- and location-varying user demands, as a function of the cache prices. In doing so, we account for interference between users’ connections to the different caches, which requires solving a non-convex optimization problem. We show that there exists a threshold price above which no vehicular caches are purchased. Moreover, as the network operator’s budget increases, vehicular caching yields little additional value beyond that provided by small cell caches. These results may help network operators and cache providers find conditions under which vehicles add value to existing networks.
机译：用户对移动数据的需求的最近增长使移动网络基础设施紧张。一种可能的解决方案是根据用户在不同时间和地点的需求，使用移动（即移动）设备来补充现有的基础架构。例如，车辆可用作通讯中继器或计算点。但是，尚不清楚这些设备相对于其部署成本会增加多少价值：例如，它们可能会干扰现有的网络基础架构，从而限制了潜在的利益。我们通过检查移动缓存的使用情况，迈出了量化此补充基础架构价值的第一步。我们考虑了网络运营商同时使用移动（例如车辆）高速缓存和固定（小型小区）高速缓存，并根据随时间变化的高速缓存价格找到随时间和位置变化的用户需求的两种类型的高速缓存的最佳数量。在此过程中，我们考虑了用户与不同缓存之间的连接之间的干扰，这需要解决非凸优化问题。我们表明存在一个阈值价格，在该阈值以上没有购买车辆缓存。此外，随着网络运营商预算的增加，车载缓存所产生的附加价值几乎没有小型蜂窝缓存所提供的附加价值。这些结果可以帮助网络运营商和缓存提供商找到条件，使车辆为现有网络增加价值。

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