Yayu Gao

TL;DR: Although the maximum network throughput with pre-specified target ratios of node throughput of ACs can be achieved in both ways, the backoff window size differentiation could be a more preferable option as it requires fewer tuning parameters and provides better precision than the AIFS differentiation.

TL;DR: A newly designed module between ns-3 and multiple Python-based AI frameworks, namely ns3-ai, to provide efficient and high-speed data exchange between the AI engines and ns- 3 to foster the performance evaluation of AI algorithms in computer networking research with much reduced development workload is proposed.

TL;DR: The analysis shows that LTE-LAA can maintain proportional fairness with WiFi by either tuning its initial backoff window size or sensing duration, and suggests optimal settings whereby LTE- LAA and WiFi nodes can achieve equal per-node airtime.

TL;DR: This paper presents the throughput analysis of an M-group heterogeneous IEEE 802.11 DCF network where nodes in different groups have distinct input rates and initial backoff window sizes, and reveals that to achieve the maximum network throughput, the optimal set of input rates of unsaturated groups andInitial back off window sizes of saturated groups should satisfy a constraint that is determined by the group sizes ofaturated groups.

TL;DR: The comparison with orthogonal frequency division reveals that although the maximum network throughput is degraded due to interference among BSSs, a higher network data rate can still be achieved by universal frequency reuse, which makes it a preferable option for multi-BSS IEEE 802.11 networks.