# A Novel Radio Network Information Service (RNIS) to MEC Framework in B5G Networks
## 2 Related Work  
Only some works in the literature discuss improving RNIS integration with the MEC framework on new-generation B5G mobile networks. This section describes the main works that are similar to our proposal. [PERSON] et al. [16] propose designing a Web Service (WS) based on Service-oriented Architecture (SOA) that provides access to radio network information in order to be used for dynamic quality of service control of data sessions. The proposal consists of two approaches to WS for MEC: bearer management WS and cell-related radio network information WS, where the former enables mobile edge applications to dynamically control the QoS available in user sessions by managing the E-UTRAN Radio Access Bearer (ERAB) and the latter enables applications to receive information on measurements related to the eNodeB, including Radio Resource Control (RRC) connection establishment. The proposed web services provide access to available radio network information based on network protocols such as RRC, S1 Application Protocol (S1 AP), and X2 application protocol (X2-AP). However, the 5 GC architecture does not support interfaces and protocols for legacy access networks [26] such as S1 AP, defined to 4G LTE [27]. [PERSON] et al. [28] propose the implementation of RNIS, focusing on the handover procedure and proposing handover state models for mobile applications leaving a source and destination LTE base station (eNodeB). The work studies a way of implementing RNIS in a mobile edge environment, highlighting some of the information that can be received in cases of cellular subscription. This research focuses on notifications about the handover procedure, where handover state models are proposed to view applications at the network's edge from a source eNodeB and destination eNodeB. However, the work needs to explore ways of improving the RNIS so that information not currently present is exposed in the context of the new generations of mobile networks and also for general emerging applications. [PERSON] et al. [29] propose a cellular network structure for MEC using a cache update algorithm with radio network recognition. The work highlights the importance of MEC and the usefulness of Dynamic Adaptive Streaming over HTTP (DASH) and RNIS for accelerating multimedia services. The development of a testbed based on 4G LTE base stations was presented, carrying out tests on the structure, compared with traditional networks, enabling a high quality of experience. This work aims to collect edge information to help the MEC cache video with appropriate representations, focusing on ensuring Quality of Experience (QoE) for its users in the RAN network by caching with radio network recognition and selecting appropriate segments through DASH. The information from the RAN is used by the update and caching algorithm to help decide which representation segments should be stored in a cache at the network's edge. The approach adopted leaves out RNIS updates according to ETSI [23] and does not mention ways of using this method in the 5G context. [PERSON] et al. [30] explore real-time decision-making mechanisms, selectively storing traffic, considering network conditions and QoS. The MEC must locally store delay-tolerant data traffic for this scheme until the delay conditions expire. This mechanism gives the network more control over providing high-priority data radio resources. The authors introduce a dedicated Congestion Control Engine (CCE), which captures RAN conditions through RNIS functions. Knowledge acquired through RNIS makes real-time decision-making possible for selective traffic discarding, thus making it more intelligent and better performing. The authors point out that data traffic for the next generations will bring challenges related to congestion and network delays. However, they must consider the up-to-date RNIS and integration with B5G networks. [PERSON] et al.