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Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding
Event Title
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
Year (definitive publication)
2016
Language
English
Country
China
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Abstract
In this letter, methods and corresponding complexities for fast matrix inversion updates in the context of massive multiple-input multiple-output (MIMO) are studied. In particular, we propose an on-the-fly method to recompute the zero forcing (ZF) filter when a user is added or removed from the system. Additionally, we evaluate the recalculation of the inverse matrix after a new channel estimation is obtained for a given user. Results are evaluated numerically in terms of bit error rate (BER) using the Neumann series approximation as the initial inverse matrix. It is concluded that, with fewer operations, the performance after an update remains close to the initial one.
Acknowledgements
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Keywords
Massive MIMO,Detection,Linear Receivers
