arrow
Return

Collaborative decoding in bandwidth-constrained environments

delete2007-02-01
delete8
PRE
AI
A
Arun Nayagam *
J
John M. Shea
T
Tan F. Wong
DOI:10.1109/JSAC.2007.070218delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We present a cooperative communication scheme in which a group of receivers can collaborate to decode a message that none of the receivers can individually decode. The receivers act as a virtual antenna array in which the combining must be performed over bandwidth-constrained links. The proposed approach is targeted at systems in which the cooperative information must be digitized, such as for wireless or wired links that are constrained to use digital modulation. In such systems, previously proposed schemes such as amplify-and-forward would require that a large amount of information be exchanged when there are many collaborating nodes. The approach presented in this paper, called improved least-reliable bits (I-LRB) collaborative decoding, provides a higher level of adaptation than previously proposed cooperative schemes. The I-LRB scheme utilizes reliability information and information about competing paths in soft-input, soft-output (SISO) decoders to adaptively select the amount of information that is needed to correct a particular part of a message, as well as which bits should be exchanged. Simulation results show that the proposed approach offers a significant performance advantage over a constrained-overhead, incremental form of maximal ratio combining (MRC).
Keywords:
cooperative communications
collaborative decoding
distributed antenna array
SISO decoding
user cooperation
cooperative diversity
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Journal on Selected Areas in Communications cover
IEEE Journal on Selected Areas in Communications
IF:
17.2
Papers:
6.4K
Citations:
3.1W

Organization

No organization information available