Title :
Near-Capacity Three-Stage Downlink Iteratively Decoded Generalized Layered Space-Time Coding with Low Complexity
Author :
Kong, Lingkun ; Ng, Soon Xin ; Hanzo, Lajos
Author_Institution :
Sch. of ECS, Univ. of Southampton, Southampton
Abstract :
This paper presents a low complexity iteratively detected space-time transmission architecture based on generalized layered space-time (GLST) codes and irregular convolutional codes (IRCCs). The GLST combines the benefits of the vertical Bell-labs layered space-time (V-BLAST) scheme and space-time coding (STC). The GLST is serially concatenated with a unity-rate code (URC) and an IRCC which are used to facilitate near-capacity operation with the aid of an extrinsic information transfer (EXIT) chart based design. Reduced- complexity iterative successive interference cancellation (SIC) is employed in the GLST decoder, instead of the significantly more complex maximum likelihood (ML) detection. For the sake of approaching the maximum achievable rate, iterative decoding is invoked to achieve decoding convergence by exchanging extrinsic information across the three serial component decoders. Finally, it is shown that the SIC-based iteratively detected IRCC-URC-GLST system is capable of providing a trade-off between the affordable computational complexity and the system throughput.
Keywords :
computational complexity; convolutional codes; interference suppression; iterative decoding; maximum likelihood detection; space-time codes; V-BLAST scheme; computational complexity; extrinsic information transfer chart based design; generalized layered space-time coding; irregular convolutional codes; iterative decoding; maximum likelihood detection; reduced-complexity iterative successive interference cancellation; space-time transmission architecture; unity-rate code; vertical Bell-labs layered space-time scheme; Computational complexity; Concatenated codes; Convergence; Convolutional codes; Downlink; Interference cancellation; Iterative decoding; Maximum likelihood decoding; Maximum likelihood detection; Silicon carbide;
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
Print_ISBN :
978-1-4244-2324-8
DOI :
10.1109/GLOCOM.2008.ECP.701