Xinghua Sun

TL;DR: The analysis shows that a buffered IEEE 802.11 DCF network operates at the desired stable point p=pL if it is unsaturated, but if the network becomes saturated, the delay performance deteriorates regardless of which mode is chosen and the stable regions are significantly enlarged with the RTS/CTS mechanism.

TL;DR: A systematic study on the effect of backoff schemes on throughput and delay performance of saturated IEEE 802.11 DCF networks confirms that QB well preserves the robust nature of BEB and achieves much better queueing performance than BEB.

TL;DR: A multigroup analytical framework for massive random access of M2M communications in IIoT is proposed and it is demonstrated that the optimal tuning of backoff parameters is robust against the burstiness of input traffic.

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: 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.