# A Novel Radio Network Information Service (RNIS) to MEC Framework in B5G Networks
###### Abstract  
Multi-Access Edge Computing (MEC) reduces latency, provides high-bandwidth applications with real-time performance and reliability, supporting new applications and services for the present and future Beyond the Fifth Generation (B5G). Radio Network Information Service (RNIS) plays a crucial role in obtaining information from the Radio Access Network (RAN). With the advent of 5G, RNIS requires improvements to handle information from the new generations of RAN. In this scenario, improving the RNIS is essential to boost new applications according to the strict requirements imposed. Hence, this work proposes a new RNIS as a service to the MEC framework in B5G networks to improve MEC applications. The service is validated and evaluated, and demonstrates the ability to adequately serve a large number of MEC apps (two, four, six and eight) and from 100 to 2000 types of User Equipment (UE). RNIS; MEC; 5G; B5G; IoT; agriculture 4.0 +
Footnote †: journal: Information  
00.0(MEC) [6; 7] has emerged as a critical technology for 5G and 6G, enabling the optimization of mobile resources by hosting computing services and offering cloud computing resources, facilitating the movement of devices and resulting in context-aware services [8; 9; 10]. In this way, scenarios with a large number of IoT devices with different levels of computing power, demanding requirements, and being interconnected at various stages of the production chain can be addressed, being connected by the Next Generation Radio Access Network (NG-RAN), with various applications running at the edge of the network, closer to the end user, with MEC services enabling the enhancement and optimization of applications [11]. The Radio Access Network (RAN) in which these smart devices are located provides a varied granularity of information about User Equipment (UE) and context-sensitive applications, which is constantly being generated [12]. The use of the Radio Network Information Service (RNIS), which interacts with the RAN by collecting and exposing the information, is needed for gathering and making this RAN-level information about UE available. It can facilitate the exposure of information such as latency, location of UE, and signal strength to interested MEC apps by exposing them through Mp1 by means of a notification system where the consumer subscribes to a topic of interest and receives such information [13; 14; 15; 16; 17]. The information about the UE found in the RAN prior to the arrival of the MEC could only be accessed via the radio operators. With the arrival of the MEC, this information is now available through the RNIS [18]. Therefore, the RNIS plays a crucial role in communication with the RAN, making it possible to collect radio information about the UE. This information includes data about latency, location of individual types of UE or groups of UE, changes in UE parameters, signal strength, measurements, and statistics related to the user plan, status, and capabilities of the UE, among others. This information is available to edge applications, allowing them to make knowledgeable decisions and perform specific tasks as required [18]. Agriculture 4.0, with the help of smart technologies, sensors, and equipment, has brought about a number of improvements in the sector, with new applications, techniques, and efficiency in the use of inputs, among others. The key to this transformation lies in the ability to collect more information and measurements on agricultural production and EUs. RNIS enables contextual information to be consumed by agricultural applications, integrating this information and providing a resilient, adaptable and efficient system. The RNIS accesses the now-available information, improving performance and expanding the services offered by different applications, such as in the Agriculture 4.0 scenario. MEC profoundly transforms agricultural practices in smart agriculture by integrating sectors, agricultural automation, drones, and more to improve operations.