Fog computing is considered a promising technology to reduce latency and network congestion. Meanwhile, Millimeter-wave (mmWave) communication owing to its potential for multi-gigabit of wireless channel capacity could be employed to further improve the performance of fog computing networks. In this context, we study the feasibility of using 28 GHz and 38 GHz mmWaves in fog radio access networks (F-RANs). The multi-slope path loss model is used to calculate the interference impacts because it provides a more accurate approximation of the wireless links. Simulations are carried out for uplink scenario considering the following fog node (FN) deployment models: Poisson point process (PPP), Ginibre point process (GPP), square grid, and ultra-dense network (UDN). The results depict that at low FN densities the massive accumulation of interference components severely impacts the performance. However, the performance can be improved by increasing the FN density and choosing a deployment strategy with high degree of regularity. Based on the results, we verify that it is feasible to use 28 GHz and 38 GHz mmWaves in F-RANs when the density of the interfering users is less than 150 user/km${}^2$ where capacities higher than 1 Gbps are achieved for all considered scenarios.

雾计算被认为是一种很有前途的技术，可以减少延迟和网络拥塞。同时，毫米波（mmWave）通信由于其具有数千兆位无线信道容量的潜力，可用于进一步提高雾计算网络的性能。在此背景下，我们研究了在雾无线电接入网络 (F-RAN) 中使用 28 GHz 和 38 GHz 毫米波的可行性。多斜率路径损耗模型用于计算干扰影响，因为它提供了更准确的无线链路近似值。考虑以下雾节点 (FN) 部署模型对上行链路场景进行模拟：泊松点过程 (PPP)、Ginibre 点过程 (GPP)、方形网格和超密集网络 (UDN)。结果表明，在低 FN 密度下，干扰分量的大量积累严重影响了性能。但是，可以通过增加 FN 密度和选择具有高度规律性的部署策略来提高性能。基于结果，我们验证了当干扰用户密度小于 150 用户/km 时，在 F-RAN 中使用 28 GHz 和 38 GHz 毫米波是可行的${}^2$ 其中所有考虑的场景都实现了高于 1 Gbps 的容量。