# Path Loss Measurements and Model Analysis in an Indoor Corridor Environment at 28 GHz and 38 GHz
## 2 Literature Review
As a result, the dynamic rain-aware link adaptation method was developed to allow the system to fit the modulation and coding scheme to rain intensity levels, the production efficiency of fixed modulation, and coding schemes. The results reveal that the rain-induced signal is unpredictable in both practical and theoretical situations, with attenuation due to variations in weather conditions ranging from 1.5 to 4.5 dB. The drawback was that the different links were not compared. [PERSON] et al. [29] discovered that on-chip wireless links function better than a standard network on a chip (NoC) in additional millimeter wave research. The on-chip wireless channel characteristics were combined with antenna implementation and near-field multipath propagation effects. The near-field/transition region is where the propagation in the on-chip wireless channel takes place, making the channel more difficult. On antennas, it was also discovered that directional kinds are less impacted by channel time dispersion, despite higher losses, and that omnidirectional antennas obtained a reserve. The on-chip wireless channel provides information on the characteristics of wireless communications and aids in the design of circuits for improved performance. The performances of millimeter waves for indoor communication at different bands between 28 and 73 GHz were carefully examined for LOS and NLOS conditions, taking into account the effects of different buildings and frequency-sensitive materials. The links between separation distances and the received power and delay spread were inversed. As a result of the concerns with the antenna's directivity, a rise in path loss causes a commensurate increase in separation distance. The system was also able to solve the problem of bandwidth in electronic devices, allowing for the growth of low-cost infrastructure demand for broadband mobile devices. The main disadvantage of this strategy is that it tends to fail as distance and communication capabilities grow [30; 31; 32]. [PERSON] and [PERSON] [33] conducted a complete assessment of millimeter wave communications, including some of the benefits and uses. They demonstrated that millimeter waves encourage larger bandwidths while increasing the speed to 10 Gbps. Some of the benefits observed include the utilization of compact components, less interference, and increased security. The range is limited in the line of sight, which was one of the key flaws uncovered. The authors in [34] introduced a novel technique termed the Q learn-based system, which incorporates the edge computing function in adjustable power and angle sub-6 GHz user equipment to tackle capacity and efficiency problems in millimeter wave propagation. The results suggest that the user's equipment (using this method) was able to achieve great energy efficiency, allowing for a very strong and steady transmission capacity. [PERSON] et al. [35] concentrated on the merits, limitations, and common applications of millimeter wave communications in several bands. Millimeter wave was determined to be critical in the deployment of 5G, and it is believed that significant improvements in radio and networks could be developed to aid in the deployment of 6G. [PERSON] et al. [36], using ray tracing (RT) simulations and directed measurements, investigated the narrowband and wideband properties of an in-room 70 GHz wireless channel. Reflection is the most pronounced mode of propagation; however, scattering is still present and appears more than when the frequencies are below 6 GHz, according to the observations. When comparing a more detailed environment to a less detailed environment, if both were exposed to the same error sources, a faster rate of calculation was seen, but this did not translate to greater simulation accuracy. In [27], the authors reviewed the results of observations taken in two indoor locations at a transmission frequency of 60 GHz. The responses of three distinct types of antennas to power loss factors were verified using a vector network analyzer (VNA).