Title
Two-Stage Time-Domain Pilot Contamination Elimination in Large-Scale Multiple-Antenna Aided and TDD Based OFDM Systems.
Abstract
Pilot contamination (PC) is a major impediment of large-scale multi-cell multiple-input multiple-output systems. Hence, we propose an optimal pilot design for time-domain channel estimation, which is capable of completely eliminating PC. More specifically, a sophisticated combination of downlink training and "scheduled" uplink training is designed with the aid of the optimal pilot set. Given the optimal pilot set, every user acquires its unique downlink time-domain channel state information (CSI) through downlink training. The estimated downlink CSIs are then embedded in the uplink training. As a result, PC can be completely eliminated, at the cost of a slight increase in training computational complexity. Our simulation results demonstrate the power of the proposed scheme. Most significantly, our scheme imposes a modest training overhead of (L + 3), training-phase durations corresponding to the number of orthogonal frequency division multiplexing symbols, where L is the number of cells, which is substantially lower than that imposed by some of the existing PC elimination schemes. Therefore, it imposes a less stringent requirement on the channel's coherence time. Finally, our scheme does not need any information exchange between base stations.
Year
DOI
Venue
2017
10.1109/ACCESS.2016.2604202
IEEE ACCESS
Keywords
Field
DocType
Multi-cell systems,large-scale multiple-input multiple-output,orthogonal frequency division multiplexing,pilot contamination,time division duplexing,time-domain channel estimation
Time domain,Base station,Computer science,MIMO,Communication channel,Real-time computing,Orthogonal frequency-division multiplexing,Channel state information,Coherence time,Telecommunications link
Journal
Volume
ISSN
Citations 
5
2169-3536
0
PageRank 
References 
Authors
0.34
15
5
Name
Order
Citations
PageRank
Xinying Guo161.79
Jiankang Zhang2104.91
Sheng Chen31035111.98
Xiaomin Mu411721.71
Lajos Hanzo510889849.85