## 1 Introduction
RIS is a surface with a massive number of reflectors; these reflectors can potentially impose an amplitude and phase shift to adjust the coefficients of the incident wave [23]. In this context, ref. [24] demonstrated how RIS can be used as a malicious attack by modifying the incident signal so that it provides destructive beamforming at the target device. This can result in significant fading in the received signal, and in the case of mmWave, there is no gain from using beamforming, there is only the \"pain\" of exposure to mmWave. On the other hand, RIS can be used to provide robust beamforming, which can help suppress jamming [25]. Furthermore, reference [26] presented an overview of radiation exposure and the interaction of EM waves with the human body. The study suggested that in order to minimize the radiation effect, it is necessary to work on a heterogeneous network with reduced transmit power using femto and pico base stations, especially at the 20-70 Hz band. Meanwhile, in [27], a radiation reduction mode is proposed, particularly for mmWave, through the adoption of Non-Orthogonal Multiple Access (NOMA) to replace the Orthogonal Frequency Division Multiple Access (OFDMA), and digital beamforming and MIMO coordination to suppress radiative interference in the controlled area. A two-dimensional computational analysis of the Specific Absorption Rate (SAR) was conducted by [28]. The author examined the collected temperature on the human body using non-ionizing and ionizing radiation and showed how the duration of exposure can contribute to a greater temperature increase. A thermal radiation mode is suggested in [29] for networks operating at the mmWave band, with a special focus on elevated heat in the human body. The study is based on SAR and power density figures, aiming to reduce the radiation of wireless communication networks to increase the safety and reliability of next-generation networks. Additionally, the radiation exposure for both downlink and uplink transmission is studied and analyzed in [30]. The authors quantified the radiation through the use of electric and magnetic field strength in their calculation of power density and suggesteda power control scheme as a way to suppress the radiation in both uplink and downlink transmission. A detailed survey on radiation exposure and its concern to public health is presented in [31]; the authors also provided experimental outdoor analysis of the exposure to the electric field at different locations using a dosimeter in downlink mode. This paper focuses on the requirements of the regulations concerning NIR within the mmWave band. Specifically, it centers on the implementation of LPN as a 6G-transmitting node in a DBS architecture, employing multiple RRHs to replace High-Power Nodes (HPNs) like mMIMO arrays, which may lead to increased radiation exposure in the proximity of HPN deployments. HPN mMIMO systems rely on high-gain antenna arrays to enhance the communication link and compensate for the considerable path loss and penetration loss in mmWave propagation. In contrast, the LPN approach in a DBS architecture employs spatially distributed RRHs (which consequently make the network nodes much closer to users), effectively mitigating the excessive path loss. The DBS network can significantly decrease the NIR exposure rate due to its low-power nature compared with massive MIMO and beamforming. Therefore, a DBS architecture and mmWave network fit well as a promising way to reduce the impact of NIR in mobile networks. This work is motivated by the introduction of a Fog Radio Access Network (F-RAN) in next-generation mobile networks to achieve Ultra-Reliable Low-Latency Communication (URLLC) [32; 33]. The massive distribution of Virtual Baseband Units (VBU) in F-RAN in the form of an access point or RRHs for interference coordination and resource management is similar to the architecture of a DBS network.