Admission Control Simulation

The core decision engine evaluates incoming bearer requests against the Guaranteed Bit Rate (GBR) and Non-GBR resource pools. The simulation models the exact logic that checks if admitting a new flow would violate the QoS commitments of existing flows.

• GBR Bearers: Admission is based on strict resource reservation checks
• Non-GBR Bearers: Uses aggregate maximum bit rate (AMBR) enforcement
• ARP Priority: Allocation and Retention Priority preemption logic is simulated to determine if a new high-priority bearer can evict a lower-priority one

The simulation maintains a real-time model of Physical Resource Block (PRB) consumption across the cell. Each admission decision is validated against the current and projected PRB utilization, accounting for the spectral efficiency of the requesting UE.

• Tracks downlink and uplink PRB pools independently
• Models the overhead of control channel elements (CCE)
• Projects resource consumption based on the requested 5QI characteristics and the UE's reported Channel Quality Indicator (CQI)

In a 5G network slicing environment, admission control is performed per Network Slice Instance (NSI). The simulation models the hierarchical admission logic where a request must be admitted by both the slice's resource quota and the underlying cell's physical resources.

• Models S-NSSAI (Single Network Slice Selection Assistance Information) identification
• Enforces slice-specific resource quotas defined by the Network Slice Subnet Management Function (NSSMF)
• Simulates the interaction between the Common Resource Block (CRB) pool and dedicated slice partitions

The simulation generates realistic traffic load by modeling UE session arrivals as a Poisson process with configurable inter-arrival times. This allows stress-testing of the admission control algorithm under varying load conditions.

• Models session holding times with exponential distributions
• Generates heterogeneous traffic mixes (eMBB, URLLC, mMTC) simultaneously
• Supports replay of real-world call trace data for scenario replay validation

Every rejection is logged with a precise cause code for post-simulation analysis. This telemetry is critical for tuning admission thresholds and identifying capacity bottlenecks in the digital twin before deploying changes to the live network.

• Logs detailed rejection causes: PRB exhaustion, slice quota exceeded, ARP preemption failure, transport resource unavailable
• Generates time-series KPIs: Admission Success Rate (ASR), Blocking Probability
• Correlates rejections with UE location and serving cell load for root cause analysis

The logical function within a base station responsible for dynamically allocating time-frequency resource blocks to user equipment. In an admission control simulation, the MAC scheduler provides the real-time resource availability data that the admission control function queries. A new bearer request is only admitted if the scheduler can guarantee the required Quality of Service (QoS) without starving existing users. Common algorithms modeled include Proportional Fair, Round Robin, and Maximum Throughput scheduling.

A simulation methodology that models a multi-cell network with numerous mobile users to evaluate network-wide performance metrics. Unlike link-level simulation, it abstracts the physical layer to focus on resource management, mobility, and interference coordination. Admission control is a primary function tested in this environment, where the simulator tracks the blocking probability and drop rate as new sessions arrive according to a Poisson process and move through the network.

The mechanism that ensures each admitted bearer receives its contracted performance guarantees. In simulation, this is modeled through QoS Class Identifiers (QCIs) or 5G QoS Identifiers (5QIs), each defining a priority, packet delay budget, and packet error rate. The admission control algorithm uses these parameters to determine if sufficient Guaranteed Bit Rate (GBR) or Non-GBR resources exist before accepting a new flow.

The modeling of the process where an ongoing user session is transferred from a source cell to a target cell. Admission control plays a critical role during handover: the target cell must reserve resources before the transfer completes. A simulation must model admission control failure during handover, which results in a Radio Link Failure (RLF) and a dropped call, a key metric for network robustness.

A software tool that creates synthetic data packets conforming to specific application patterns to load the simulated network. For admission control testing, traffic generators model diverse service types:

• VoIP: Constant bit rate, strict latency budget
• Video Streaming: Variable bit rate, bursty traffic
• Web Browsing: Intermittent, best-effort
• IoT Telemetry: Low throughput, high connection density The mix of these traffic types stresses the admission control function's ability to handle heterogeneous resource requests.

A statistical or trace-based model that simulates the movement patterns, speed, and direction changes of user equipment. Mobility directly impacts admission control because a moving UE may enter a congested cell, triggering a handover that the target cell must reject if resources are unavailable. Common models include Random Waypoint, Gauss-Markov, and realistic map-based paths imported from GIS data.