Adaptive Interference Alignment with CSI Uncertainty

Interference alignment (IA) is known to significantly increase sum-throughput at high SNR in the presence of multiple interfering nodes, however, the reliability of IA is little known, which is the subject of this paper. We study the error performance of IA and compare it with conventional orthogona...

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Veröffentlicht in:IEEE transactions on communications Jg. 61; H. 2; S. 792 - 801
Hauptverfasser: Baile Xie, Yang Li, Minn, H., Nosratinia, A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.02.2013
Institute of Electrical and Electronics Engineers
Schlagworte:
Algorithm design and analysis
Applied sciences
Bit error rate
bit error rate (BER)
bit loading
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Interference
Interference alignment
Loading
MIMO
Multiplexing
Signal and communications theory
Signal to noise ratio
Signal, noise
spatial multiplexing
SVD
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teletraffic
Transmission and modulation (techniques and equipments)
Vectors
MIMO system
SVD
Parameter estimation
Error probability
Error estimation
Bit error rate
Flow rate regulation
Information rate
Teletraffic
Spatial multiplexing
bit error rate (BER)
Algorithm
Adaptive method
Information transmission
bit loading
Traffic management
Channel estimation
Traffic control
Robustness
MIMO
Reliability
Interference alignment
Singular value decomposition
Signal to noise ratio
ISSN:0090-6778
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Beschreibung
Zusammenfassung:Interference alignment (IA) is known to significantly increase sum-throughput at high SNR in the presence of multiple interfering nodes, however, the reliability of IA is little known, which is the subject of this paper. We study the error performance of IA and compare it with conventional orthogonal transmission schemes. Since most IA algorithms require extensive channel state information (CSI), we also investigate the impact of CSI imperfection (uncertainty) on the error performance. Our results show that under identical rates, IA attains a better error performance than the orthogonal scheme for practical signal to noise ratio (SNR) values but is more sensitive to CSI uncertainty. We design bit loading algorithms that significantly improve error performance of the existing IA schemes. Furthermore, we propose an adaptive transmission scheme that not only considerably reduces error probability, but also produces robustness to CSI uncertainty.
ISSN:0090-6778
DOI:10.1109/TCOMM.2012.121112.110589