AP Cooperation schemes which tackle the cell-edge user problem, are expected to be in the focus of Wi-Fi 8. Among them, Coordinated Beamforming (CoBF) is expected to play a key role, mainly due to the minimal inter-AP synchronization and joint processing it requires. In this talk we will analyze CoBF from the perspective of multi-user interference (MUI) and show that the scheme currently envisioned in Wi-Fi 8 is broken! Specifically, we will show that (in contrast to DL MU-MIMO) when the number of STA Rx antennas is larger than the number of streams, the STA does not have enough DoF to mitigate the MU interference and the scheme collapses. After we identify this problem, we will propose a new feedback concept which completely solves the problem, leads to zero MUI; while keeping the Wi-Fi feedback format and implying lower computational complexity! We will demonstrate the ideas in this talk with a short MATLAB demo. Speaker(s): Doron Ezri Virtual: https://events.vtools.ieee.org/m/382550

Engineers traditionally use deterministic modeling in their tasks, but challenges for developing and optimizing products and processes inspire us to venture beyond deterministic to probabilistic or stochastic modeling. The melding of engineering modeling with probabilistic thinking empowers engineers to develop confidence for ourselves, our customers and regulatory agencies that our products are likely to be successful and that we will flawlessly meet or exceed expectations over a comprehensive range of use conditions. Predictive engineering starts from measurable system level requirements, exploration and documentation of use conditions, and expanding on deterministic models with probabilistic modeling using Monte Carlo Simulation or Bayesian Networks to optimize the design and process. Probabilistic and stochastic modeling has provided competitive advantages for enterprises, for products, and for both experienced engineers and engineers early in their careers. Event is organized by IEEE Hawaii YP, IAS, and WIE and co-hosted with several other organizations. Depending on the level of interest in this event, a follow on series with Six Sigma certification is possible. Speaker(s): Eric Maass, PhD Virtual: https://events.vtools.ieee.org/m/382000