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Publication Detailed Description
Journal Title
IEEE Signal Processing Letters
Year (definitive publication)
2016
Language
English
Country
United States of America
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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
Fields of Science and Technology Classification
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/EEA/50008/2013 | Fundação para a Ciência e a Tecnologia |
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