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MIMOPilot

A channel estimation technique that cuts signalling overhead in massive MIMO to a single pilot sample, improving spectral efficiency for 6G networks.

Lead researcher
Arman Farhang
Institution
Trinity College Dublin
MIMOPilot

About the project

MIMOPilot designed and implemented a novel joint channel estimation and equalization technique that dramatically reduces signalling overhead in massive MIMO systems. MIMIOPilot exploits coherence bandwidth and time to minimise pilot overhead, thereby improving spectral efficiency.

MIMOPILOT uses a single pilot sample to simultaneously estimate transmitted data and update channel estimates sequentially, leveraging statistical system properties and multi-antenna diversity gains.MIMOPILOT extends the technique to time-varying systems, addressing key challenges in 6G wireless networks, particularly at higher frequencies such as millimeter-wave and Terahertz bands. This avoids excessive channel tracking and pilot requirements and it integrates seamlessly with existing 5G standards such as OFDM and massive MIMO, supporting both uplink and downlink transmissions.

The key objectives for MIMOPilot are:

1.Launched a low-complexity, low-overhead joint channel estimation and equalisation technique for multiuser massive MIMO systems.
2. Developed novel downlink transmission techniques using updated uplink channel estimates to maintain reliable connections despite channel aging.
3. Designed a new time and frequency synchronisation method.

Last updated: 8 September 2026

Project team

Arman Farhang

Lead researcher
Trinity College Dublin

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