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Random access channel (RACH) is the first step that needs to be conducted by any devices which require data transmission in modern cellular networks. Since LTE and beyond also often used to serve IoT application due to its wide coverage and availability, conserving energy is important. This paper presents a flexible preamble allocation scheme which is applied in RACH procedure and evaluates its energy consumption. The flexible preamble allocation enables base station to fine-tune its preamble allocation, which mainly used to prioritize H2H services over IoT ones. Such access prioritization translates in more efficient signaling transmissions during RACH procedure by reducing collision. The result demonstrates that the scheme can effectively reduce energy usage compared with the standard RACH procedure with shared preamble pool.

Long-term evolution (LTE)-based vehicular-to-everything (V2X) service is one of the promising technologies for supporting intelligent transportation systems (ITSs). LTE adopts a request-grant approach for allocating wireless resources. Each user follows a contention-based random access (RA) procedure to transmit its request. However, this procedure may result in unbounded delay if too many users compete for limited RA resources. Therefore, prioritized critical access in the LTE RA procedure is required to differentiate critical V2X services from noncritical ones.

Corporate and advanced information and database technologies make it possible to solve potential and hidden problems, such as uncertainty data interactions, disputable resolutions, unclear processes, etc. In this case, a rough set method can be used to grasp characteristics of the classified objects included in those problems. The rough set method is often used for classifying data while figuring out the distinctive features of the given objects in problem solutions. These given object problems that emerge, especially in database handling and resolving discernibility relations with the rough set method, are often computed by electronic computations. On the other hand, in this paper, we basically focus on taking advantage of biological molecular functions to create a novel biological computation method with which we proposed to derive and resolve all the discernibility relations.