Machine-to-machine and cell-to-cell traffic handling using relay and carrier aggregation prioritize on LTE-A PRO network

Abstract

With the advent of artificial intelligence (AI) and smart cities, the amount of connected devices is on the rise. The communication medium perfectly suited for interconnecting all the massive machine-type communications (mMTC) is long-term evolution advanced (LTE-A). The design in this paper consists of relay stations (RSs) that are connected to the base stations (BSs). The radio access network (RAN) will consist of a base station/eNodeB (eNB) with one or two hops of RS. The machine-to-machine (M2M) communication considered here is of the type of smart meters and sensors data calls. These calls are handled according to their delay-tolerant capability. The proposed (PR-M2M) scheme assigns resources with priority without reserving the resources. The Vienna LTE Downlink level simulator is used to investigate the operation of the proposed scheme. The packet-dropping probability and average throughput of the system are simulated with other existing schemes in the studied literature. The results obtained from the simulation indicate that the PR-M2M outperformed existing schemes.