Closed-Loop Modeling and Performance Analysis of B5G RRC with Processor Sharing Discipline

Massive devices are expected to access Beyond fifth-generation (B5G) networks, establish connections and then request data transmission resources. Both the access efficiency and the data transmission efficiency should be analyzed and optimized. Yet, existing models considered the access process and the data transmission process as two independent processes that do not affect each other, which does not hold in practical networks. To address this open issue, this paper proposes an analytical model for a closed-loop B5G system by establishing a Markov renewal process for characterizing the Radio Resource Control (RRC) state transition behavior from the device’s point of view. The processor sharing queueing model is embedded to approximate the variation of data transmission performance regarding the number of connected devices, based on which the mutual effect between the two processes can be further revealed. Our analysis derives key performance metrics (such as access throughput and energy efficiency) as functions of the system parameters (such as traffic rate, access classing barring factor and inactivity timer) in both processes of the B5G system, and verified via extensive simulations.