Massive MIMO is a key technology for handling massive data traffic in wireless communications. Despite its potential, several myths and misunderstandings exist. The article identifies ten myths and explains why they are false, while also posing a critical question about the practical adoption of the technology. Massive MIMO uses multiple antennas at base stations to communicate with many terminals, leveraging spatial focusing and channel reciprocity. It operates in TDD mode, where uplink and downlink transmissions occur in the same frequency band but at different times. This allows for efficient channel estimation and processing. The system benefits from linear processing techniques like maximum ratio (MR), zero-forcing (ZF), and minimum mean squared error (MMSE) combining, which improve signal quality and reduce interference. The article refutes the myth that Massive MIMO is only suitable for millimeter wave bands, explaining that it can be implemented at typical cellular frequencies. It also addresses the belief that Massive MIMO only works in rich-scattering environments, showing that favorable propagation can occur in various conditions. The article clarifies that open-loop beamforming is not sufficient for Massive MIMO, as it lacks the array gain and channel estimation capabilities of closed-loop systems. It also dispels the myth that Massive MIMO relies on asymptotic results, showing that practical performance can be achieved with finite antenna numbers. The article explains that linear processing, while less optimal than nonlinear methods like dirty paper coding, is still effective and computationally feasible. It also addresses the misconception that Massive MIMO requires an order of magnitude more antennas than users, showing that this is not strictly necessary and that performance can be achieved with a similar number of antennas and users. The article also discusses the feasibility of Massive MIMO in FDD operation, highlighting the challenges of CSI acquisition and the need for efficient overhead signaling. It concludes that while Massive MIMO has many advantages, its practical implementation requires further research and development, particularly in FDD scenarios. The critical question posed is whether Massive MIMO can be effectively implemented in FDD mode, which remains an open area of research.Massive MIMO is a key technology for handling massive data traffic in wireless communications. Despite its potential, several myths and misunderstandings exist. The article identifies ten myths and explains why they are false, while also posing a critical question about the practical adoption of the technology. Massive MIMO uses multiple antennas at base stations to communicate with many terminals, leveraging spatial focusing and channel reciprocity. It operates in TDD mode, where uplink and downlink transmissions occur in the same frequency band but at different times. This allows for efficient channel estimation and processing. The system benefits from linear processing techniques like maximum ratio (MR), zero-forcing (ZF), and minimum mean squared error (MMSE) combining, which improve signal quality and reduce interference. The article refutes the myth that Massive MIMO is only suitable for millimeter wave bands, explaining that it can be implemented at typical cellular frequencies. It also addresses the belief that Massive MIMO only works in rich-scattering environments, showing that favorable propagation can occur in various conditions. The article clarifies that open-loop beamforming is not sufficient for Massive MIMO, as it lacks the array gain and channel estimation capabilities of closed-loop systems. It also dispels the myth that Massive MIMO relies on asymptotic results, showing that practical performance can be achieved with finite antenna numbers. The article explains that linear processing, while less optimal than nonlinear methods like dirty paper coding, is still effective and computationally feasible. It also addresses the misconception that Massive MIMO requires an order of magnitude more antennas than users, showing that this is not strictly necessary and that performance can be achieved with a similar number of antennas and users. The article also discusses the feasibility of Massive MIMO in FDD operation, highlighting the challenges of CSI acquisition and the need for efficient overhead signaling. It concludes that while Massive MIMO has many advantages, its practical implementation requires further research and development, particularly in FDD scenarios. The critical question posed is whether Massive MIMO can be effectively implemented in FDD mode, which remains an open area of research.