Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LSP.2015.2500682 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
MIMO communication,channel coding,channel estimation,error statistics,filtering theory,inverse problems,matrix inversion,precoding,BER,MIMO detection,Neumann series approximation,ZF filter,bit error rate,channel estimation,fast matrix inversion,inverse matrix,multiple-input multiple-output detection,on-the-fly method,precoding,zero forcing filter,Massive MIMO,Neumann series,matrix inversion lemma,zero-forcing | Inverse,Mathematical optimization,Neumann series,Matrix (mathematics),Matrix decomposition,MIMO,Communication channel,Precoding,Mathematics,Bit error rate | Journal |
Volume | Issue | ISSN |
23 | 1 | 1070-9908 |
Citations | PageRank | References |
10 | 0.64 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Rosário | 1 | 15 | 1.10 |
| Francisco A. Monteiro | 2 | 20 | 3.28 |
| A. Rodrigues | 3 | 41 | 14.77 |