DocumentCode
1684632
Title
Multiple Antenna Assisted Hard Versus Soft Decoding-and-Forwarding for Network Coding Aided Relaying Systems
Author
Lee, Kyungchun ; Hanzo, Lajos
Author_Institution
Samsung Electron., Suwon
fYear
2008
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose two types of new decoding algorithms for a network coding aided relaying (NCR) system, which adopts multiple antennas at both the transmitter and receiver. We consider the realistic scenario of encountering decoding errors at the relay station (RS), which results in erroneous forwarded data. Under this assumption, we derive decoding algorithms for both the base station (BS) and the mobile station (MS) in order to reduce the deleterious effects of imperfect decoding at the RS. We first propose a decoding algorithm for a hard decision based forwarding (HDF) system. Then, for the sake of achieving further performance improvements, we also employ soft decision forwarding (SDF) and propose a novel decoding error model, which divides the decoding error pattern into two components: hard and soft errors. Given this error model, we then modify the HDF decoder for employment in SDF systems. Our simulation results show that the proposed algorithms provide substantial performance improvements in terms of the attainable packet error rate as a benefit of our more accurate decoding error model.
Keywords
MIMO communication; decoding; base station; decoding error model; hard decision based forwarding system; mobile station; multiple antenna assisted hard decoding-and-forwarding; multiple antenna assisted soft decoding-and-forwarding; network coding aided relaying systems; relay station; Base stations; Decoding; Electronic mail; Fading; MIMO; Network coding; Receiving antennas; Relays; Transmitters; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location
New Orleans, LO
ISSN
1930-529X
Print_ISBN
978-1-4244-2324-8
Type
conf
DOI
10.1109/GLOCOM.2008.ECP.768
Filename
4698543
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