DocumentCode
2521055
Title
Compress-forward coding with BPSK modulation for the half-duplex Gaussian relay channel
Author
Liu, Zhixin ; Uppal, Momin ; Stankovic, Vladimir ; Xion, Zixiang
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
fYear
2008
fDate
6-11 July 2008
Firstpage
2395
Lastpage
2399
Abstract
Cover and El Gamal derived the tightest bounds on the capacity of the relay channel using random coding and suggested two coding strategies, namely, decode-forward (DF) and compress-forward (CF), to provide the best known lower bound of the achievable rate. Practical code designs proposed recently mainly exploit DF to approach the lower bound. Following the latest development in practical distributed source-channel coding, this paper studies CF coding with BPSK modulation for the relay channel. In CF scheme, Wyner-Ziv coding is applied at the relay to exploit the joint statistics between signals at the relay and the destination. We employ Slepian-Wolf coded nested scalar quantization (SWCNSQ) in practical Wyner-Ziv coding at the relay and compute the achievable rates of this scheme with BPSK modulation for the half-duplex Gaussian relay channel. We present a code design based on LDPC codes for error protection at the source and NSQ and IRA codes for CF at the relay. Simulation results show that our design comes within 1.48-1.92 dB of the SWCNSQ limit.
Keywords
Gaussian channels; channel capacity; combined source-channel coding; data compression; decoding; parity check codes; phase shift keying; quantisation (signal); random codes; BPSK modulation; LDPC code; Slepian-Wolf coded nested scalar quantization; Wyner-Ziv coding; compress-forward coding; decode-forward; distributed source-channel coding; error protection; half-duplex Gaussian relay channel capacity; joint statistics; random coding; Binary phase shift keying; Computational modeling; Decoding; Modulation coding; Parity check codes; Protection; Protective relaying; Quantization; Relays; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4595420
Filename
4595420
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