Back to Search
Start Over
Analysis of SVD-Based Hybrid Schemes for Massive MIMO With Phase Noise and Imperfect Channel Estimation
- Source :
- e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid, Universidad Carlos III de Madrid (UC3M), e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- In hybrid analog-digital schemes, proposed to reduce the number of RF chains especially at millimeter waves, the precoding at the transmitter and the combining at the receiver are split into digital and analog parts. We analyze the sensitivity of hybrid schemes to phase noise and channel estimation errors and we compare them to a full-digital approach. The scheme adopted for the analog part employs fixed phase shifters, then the digital part is optimized by a singular-value decomposition. We derive analytical expressions for the interference and the SNR degradation arising from the imperfect decomposition due to phase noise and the channel estimation error, for typical millimter-wave massive MIMO channels. In particular we show that when the channel estimation is made in the beam-space, this hybrid scheme is more robust to the phase noise and to the channel estimation errors than a full-digital approach.
- Subjects :
- Computer Networks and Communications
Computer science
MIMO
Aerospace Engineering
Interference (wave propagation)
Precoding
millimeter-wave MIMO
Signal-to-noise ratio
Interference (communication)
Phase noise
Singular value decomposition
hybrid precoding and com-bining
Electrical and Electronic Engineering
Computer Science::Information Theory
Telecomunicaciones
Millimeter-wave MIMO
Transmitter
Hybrid precoding and combining
phase noise
Automotive Engineering
Massive MIMO
Algorithm
Communication channel
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....2afacc5286a4e3682bcbf1a819083cd3