Multi-User Position Estimation and Performance Trade-offs in IEEE 802.11az WLANs

Location-Based Services (LBSs) using wireless communication systems have witnessed a dramatic increase in both demand and applicability. In particular, there is a need for high-accuracy position estimation in dense indoor environments, while sustaining data communication services. In this paper, analytical expressions are formulated to characterize the trade-off between the position estimation accuracy and the latency/throughput performance in a multi-user IEEE 802.11az scenario. Furthermore, optimization frameworks are developed using which the proposed enhancements can tune the degree of trade-off, in terms of the number of preamble symbol repetitions. The impact of the desired position accuracy, Signal-to-Noise Ratio (SNR), bandwidth, and user-grouping strategies are evaluated as well.