Massive MIMO Detector

MMSE based detector having binary structure reduces computational latency for Massive MIMO
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Updated 19 Mar 2022

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Massive multi-user multiple-input multiple-output (MU-MIMO) relies on large antenna arrays that serve tens of user equipments in the same time-frequency resource. The presence of hundreds of antenna elements and radio-frequency (RF) chains at the base station (BS) enables high spectral efficiency via fine-grained beamforming, but poses significant practical implementation challenges. In particular, conventional linear equalization algorithms used in the massive MU-MIMO uplink (users transmit to the BS), such as zero-forcing, typically require centralized architectures, which cause excessively high computational complexity and interconnect bandwidth between the baseband processing unit and the RF chains. Binary structured MMSE mitigates the complexity and bandwidth bottlenecks.

Cite As

Nahidul Islam (2024). Massive MIMO Detector (https://www.mathworks.com/matlabcentral/fileexchange/108269-massive-mimo-detector), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0