OTFS, orthogonal time frequency & space, considers three dimensions and MIMO-OFDM also considers three dimensions. Is there any difference between the two concepts? Thanks!
In MIMO-OFDM, channel estimation is performed on each subcarrier. However, MIMO-OTFS uses time-frequency grid channel estimation, which requires joint estimation of both the time and frequency dimensions. Thus I expect OTFS to be more complex considering the equalization aspects.
MIMO OTFS (Orthogonal Time Frequency and Space) and MIMO-OFDM (Orthogonal Frequency Division Multiplexing) are two different multiple-input and multiple-output (MIMO) techniques used in wireless communication systems. Here are some of the key differences between MIMO OTFS and MIMO-OFDM:
MIMO OTFS uses a new waveform format, which is a combination of time, frequency, and space domain, whereas MIMO-OFDM uses an orthogonal frequency division multiplexing waveform that separates the data onto subcarriers that are orthogonal to each other.
MIMO OTFS is designed to overcome the effect of Doppler spread that occurs in high-speed wireless communications, while MIMO-OFDM is more susceptible to the Doppler effect.
MIMO OTFS does not require channel estimation, as the channel information is already embedded in the time-frequency representation of the signal. In contrast, MIMO-OFDM requires accurate channel estimation to equalize the signal at the receiver.
MIMO OTFS has the potential to support multiuser communication in a more efficient way compared to MIMO-OFDM. This is because OTFS has a more compact signal representation in time-frequency space, which allows multiple users to share the same time-frequency resources without causing interference.