Table 3. Comparative analysis.

Proposed work	Bellalta & Kosek-Szott (2019)	Key findings
Validates ns-3’s throughput performance under Single User (SU) transmissions, showing scalability as the number of STAs increases in dense environments.	Describes an UL transmission scenario with MU-MIMO and OFDMA but does not provide specific throughput validation for SU setups.	ns-3 validation confirms robust throughput performance, even in high-density SU scenarios.
Validates aggregate downlink (DL) and uplink (UL) throughput for mixed traffic, demonstrating ns-3’s efficiency in managing simultaneous DL and UL traffic.	Provides DL and UL throughput rates for SU vs. MU configurations, focusing on AP-initiated transmissions, without mixed traffic validation.	ns-3 shows robust throughput in mixed DL/UL traffic, outperforming AP-initiated approach’s scope.
Analyzes Head-of-Line (HoL) delay under Multi-User (MU) downlink traffic, highlighting ns-3’s capability to minimize latency in high-density settings.	Compares aggregate DL and UL throughput but does not provide a specific latency metric or delay analysis, focusing instead on overall throughput.	ns-3 provides precise latency analysis, essential for real-time applications in dense WLANs.
Examines how different acknowledgment (ACK) sequences affect downlink throughput, demonstrating ns-3’s flexibility in configuring efficient ACK handling.	Analyzes throughput sensitivity to parameters $\alpha$ and $\beta$ but does not focus on acknowledgment sequences or their impact on performance.	ns-3 validation offers adaptable ACK strategies to optimize throughput, outperforming fixed settings.
Shows how varying contention window sizes impact DL throughput, with higher contention leading to reduced throughput.	Investigates the impact of increasing A-MPDU size on DL and UL throughput, showing potential gains from larger aggregations.	Provides practical insights into optimizing throughput in high-density networks with contention.
Examines Head-of-Line (HoL) delay across different contention levels, comparing delay-optimized and throughput-optimized schedulers.	Examines how increasing channel width enhances DL and UL throughput, particularly with MU configurations.	Offers actionable data on delay-optimized scheduling for real-time applications.
Analyzes DL throughput across ACK sequences under various contention windows, showing optimal ACK strategies for high efficiency.	Studies throughput gains from adding more antennas at the AP, improving spatial diversity and overall performance with increased streams.	Demonstrates how optimized ACK sequences can improve throughput in contention-heavy networks.