Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems

Joint Authors

Yin, Huarui
Zhang, Chao

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-09-19

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

We examine decoding structure for distributed space-time coded regenerative relay networks.

Given the possible demodulation error at the regenerative relays, we provide a general framework of error aware decoder, where the receiver exploits the demodulation error probability of relays to improve the system performance.

Considering the high computational complexity of optimal Maximum Likelihood (ML) decoder, we also propose two low-complexity decoders, Max-Log decoder and Max-Log-Sphere decoder.

Computational complexities of these three decoders are also analyzed.

Simulation results show that error aware decoders can improve system performance greatly without high system overload and Max-Log decoder and Max-Log-Sphere decoder can drastically reduce the decoding complexity with negligible performance degradation.

American Psychological Association (APA)

Zhang, Chao& Yin, Huarui. 2012. Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-510720

Modern Language Association (MLA)

Zhang, Chao& Yin, Huarui. Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-510720

American Medical Association (AMA)

Zhang, Chao& Yin, Huarui. Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-510720

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-510720