## 1 Introduction  
In the Beyond 5G and 6G eras, advanced high-speed communication is essential for the emergence of new attractive services such as AI-empowered applications, virtual reality, and tactile Internet [1; 2; 3; 4]. Millimeter-wave (mmWave) communication, which can provide multi-Gbps data rates, will make it possible to offload the user's computation and storage resources to the edge/cloud computing server to enable such new services [5]. However, since mmWave communication has a higher directional link due to its high carrier frequency, i.e., 30 GHz to 300 GHz, the communication quality is sensitive to various factors. In addition, the communication range is relatively short. IEEE 802.11 ad [6], the main product of mmWave communication at 60 GHz, will spread rapidly and be applied in many Wi-Fi networks after this. As its communication performance significantly differs from the existing Wi-Fi products due to the high carrier frequency, it is essential to properly understand the communication performance for the building of a network and during operation to obtain the most powerful performance. So far, many papers have analyzed the communication performance of IEEE 802.11 ad. They provide valuable insights through mathematical and empirical analysis. The mathematical analysis reveals the logical characteristics, and the empirical study contributes to the network design based on an actual environment. We need a measurement method to understand the communication performance for building and managing an effective IEEE 802.11 ad network, i.e., in the operational phase. In particular, a simple and inexpensive measurement is necessary because non-specialists,such as end-users, will also set up their IEEE 802.11 ad networks that do not require a license. However, although many papers provide the details of communication performance by using various measurement methods, so far we still do not yet have enough of a discussion on a measurement method for non-specialists, as far as we know. Thus, this paper proposes a multilayer measurement methodology with open-source tools for evaluating IEEE 802.11 ad communication quality. Although users usually pay attention to throughput, which directly affects the communication performance of applications, there is a requirement to check communication quality through multilayer indicators to build and manage a stable IEEE 802.11 ad network. The measurement methodology consists of the following three contents:  
1. Simple and inexpensive measurement tools;
2. Easy-to-understand measurement indicators;
3. Concrete measurement methods. Although many papers introduce excellent measurement methods to investigate the details of target communication quality, almost all of them need special skills and expensive equipment. Since the IEEE 802.11 ad network does not require a license, non-specialists must also build and manage their network. However, it may be difficult for non-specialists to execute the same measurement, such as those from existing studies, and understand communication performance for the measurement results. We then select open-source measurement tools and propose the indicators. In addition, we show the concrete measurement methods. Therefore, this paper contributes to providing a reference model of measurement methodology for non-specialists by presenting a measurement methodology for building and managing their wireless networks using high frequencies, which will be the mainstream in the future. Note that this paper takes over the basic idea of our previous study [7]. The major updates are as follows: First, we add extensive surveys on measurement related to mmWave and IEEE 802.11 ad. Second, we reinvestigate the existing open-source measurement tools and indicators, and we also use _iw_ as a more appropriate wireless network performance measurement tool instead of _iwconfig_. In addition, the scope of applications for these tools is clarified. The paper then explains our proposal in detail and provides more empirical results and discussions.