TY - GEN
T1 - Pilot contamination mitigation with reduced RF chains
AU - Ioushua, Shahar Stein
AU - Eldar, Yonina C.
N1 - Publisher Copyright: © 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - In multi-cell massive MIMO systems, estimation accuracy can be severely degraded due to pilot sequences reuse in adjacent cells. This causes inter-cell interference called pilot contamination. An additional challenge is the increase in computational load due to the massive amount of data. It is, therefore, desirable to reduce the number of RF chains. In this paper, we focus on the problem of channel estimation in a multi-cell multi-user MIMO system, while addressing these two challenges. We consider a Bayesian channel estimator and design the pilot sequences to minimize the estimation error. In order to reduce the number of RF chains, we propose an analog combiner mapping the high number of sensors to the low number of RF chains. The optimal pilot sequences are shown to correspond to a user selection solution, where the users with the strongest links are chosen. In addition we show that the number of RF chains can be reduced with no significant loss in estimation performance in cases where the receive array is highly correlated.
AB - In multi-cell massive MIMO systems, estimation accuracy can be severely degraded due to pilot sequences reuse in adjacent cells. This causes inter-cell interference called pilot contamination. An additional challenge is the increase in computational load due to the massive amount of data. It is, therefore, desirable to reduce the number of RF chains. In this paper, we focus on the problem of channel estimation in a multi-cell multi-user MIMO system, while addressing these two challenges. We consider a Bayesian channel estimator and design the pilot sequences to minimize the estimation error. In order to reduce the number of RF chains, we propose an analog combiner mapping the high number of sensors to the low number of RF chains. The optimal pilot sequences are shown to correspond to a user selection solution, where the users with the strongest links are chosen. In addition we show that the number of RF chains can be reduced with no significant loss in estimation performance in cases where the receive array is highly correlated.
UR - http://www.scopus.com/inward/record.url?scp=85044189830&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2017.8227727
DO - 10.1109/SPAWC.2017.8227727
M3 - منشور من مؤتمر
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 1
EP - 5
BT - 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
Y2 - 3 July 2017 through 6 July 2017
ER -