Abstract
The efficient and highly accurate channel state information
at the base station is essential to achieve the potential
benefits of massive multiple input multiple output-orthogonal
frequency division multiplexing (MIMO-OFDM) systems, due to
limitation of the pilot contamination problem. In this paper,
we investigate the whitening rotation (WR) semi-blind channel
estimation algorithm for multi-cell massive MIMO to address
the pilot contamination problem through semi-blind approaches
of hybrid scheme of pilot and blind to reduce the number of
the required pilots. We also enhance the estimation accuracy
by combining the proposed estimation technique with temporal
domain based channel estimation, i.e., the conventional discrete
Furrier transform (DFT) based channel estimator. It has shown
that the performance of the WR semi blind estimator achieves
a significantly lower Mean Square error (MSE) of estimation
compared to the conventional linear minimum mean square error
(LMMSE). Also, the proposed scheme of the combined DFT and
WR semi blind estimator is seen to have a significantly superior
performance compared to LMMSE and WR semi blind estimators.
at the base station is essential to achieve the potential
benefits of massive multiple input multiple output-orthogonal
frequency division multiplexing (MIMO-OFDM) systems, due to
limitation of the pilot contamination problem. In this paper,
we investigate the whitening rotation (WR) semi-blind channel
estimation algorithm for multi-cell massive MIMO to address
the pilot contamination problem through semi-blind approaches
of hybrid scheme of pilot and blind to reduce the number of
the required pilots. We also enhance the estimation accuracy
by combining the proposed estimation technique with temporal
domain based channel estimation, i.e., the conventional discrete
Furrier transform (DFT) based channel estimator. It has shown
that the performance of the WR semi blind estimator achieves
a significantly lower Mean Square error (MSE) of estimation
compared to the conventional linear minimum mean square error
(LMMSE). Also, the proposed scheme of the combined DFT and
WR semi blind estimator is seen to have a significantly superior
performance compared to LMMSE and WR semi blind estimators.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Telecommunications (ICT 2016) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 27 Jun 2016 |
| Event | 23rd International Conference on Telecommunications, ICT 2016 - Thessaloniki, Greece Duration: 16 May 2016 → 18 May 2016 |
Conference
| Conference | 23rd International Conference on Telecommunications, ICT 2016 |
|---|---|
| Country/Territory | Greece |
| City | Thessaloniki |
| Period | 16/05/2016 → 18/05/2016 |