This study evaluates the performance of Wi-Fi-based indoor localization utilizing Fine Timing Measurement (FTM) as specified in the IEEE 802.11az standard. Under line-of-sight (LOS) conditions with additive white Gaussian noise (AWGN), we quantitatively analyze the influence of key parameters on localization accuracy, including geometric dilution of precision (GDOP), the number of measurements per responding station (RSTA), receiver signal-to-noise ratio (SNR), and channel bandwidth. These effects are validated through simulations conducted in a three-dimensional office environment using the open-source ns-3 network simulator. Additionally, we investigate the impact of measurement time budgets and background data traffic on localization accuracy, as well as the effects of high-priority FTM sessions on network throughput.

As a groundbreaking feature in IEEE 802.11be, multi-link operation (MLO) is expected to support emerging applications that are strongly delay-sensitive. A key to the effective use of MLO for such cases rests on the optimal allocation of application traffic across multiple links. Our initial simulation experiments in ns-3 reveal that the proposed traffic allocation policies in prior art are significantly sub-optimal in terms of achievable delay performance of multi-link devices (MLDs), particularly in the presence of legacy single-link devices (SLDs). In this work, we first develop a new analytical model for the mean end-to-end (E2E) delay, delay jitter and worst-case percentile latency performance of MLD-SLD-coexisting Wi-Fi 7 networks (largely unexplored to date) with saturated and unsaturated SLD traffic. Subsequently, the optimal traffic allocation strategies for minimizing the mean E2E delay and delay jitter are obtained and validated by ns-3 simulation results. It is shown that with the optimal policy, MLDs can achieve significantly better mean E2E delay, delay jitter, worst-case latency and delay cumulative distribution function (CDF) compared to existing solutions.