Name
Abstract | ||
|---|---|---|
An improved SINR metric is proposed for the random beamforming scheme introduced by Sharif and Hassibi, when the channel observation used to compute the SINR is known to be noisy or outdated. The effect of noise on the MIMO channel estimate is accounted for using results on the perturbation of the eigenspaces of Hermitian matrices. The new metric, designed as a conservative estimate of the real SINR, is based on expectations of bounds on the signal and interference power. It is shown through simulations that it can noticeably reduce the outage probability, in the realistic setting of a 4 times 2 antennas system, at the cost of a minor reduction of the achievable sum-rate. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICC.2008.795 | Beijing |
Keywords | Field | DocType |
MIMO communication,antennas,channel estimation,eigenvalues and eigenfunctions,probability,Hermitian matrices,MIMO channel estimate,antennas system,eigenspaces,interference power,outage probability,random beamforming scheme | Beamforming,Control theory,Computer science,Signal-to-noise ratio,MIMO,Communication channel,Algorithm,Real-time computing,Signal-to-interference-plus-noise ratio,Interference (wave propagation),Gaussian noise,Hermitian matrix | Conference |
ISSN | ISBN | Citations |
1550-3607 | 978-1-4244-2075-9 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roland Tresch | 1 | 59 | 3.61 |
| Maxime Guillaud | 2 | 315 | 30.64 |