Imperial College London

DrCongLing

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Coding and Information Theory
 
 
 
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Contact

 

+44 (0)20 7594 6214c.ling

 
 
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Location

 

815Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zheng:2019:10.1109/tit.2018.2878453,
author = {Zheng, M and Ling, C and Chen, W and Tao, M},
doi = {10.1109/tit.2018.2878453},
journal = {IEEE Transactions on Information Theory},
pages = {1973--1993},
title = {Polar coding strategies for the interference channel with partial-joint decoding},
url = {http://dx.doi.org/10.1109/tit.2018.2878453},
volume = {65},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Existing polar coding schemes for the two-user interference channel follow the original idea of Han and Kobayashi, in which component messages are encoded independently and then mapped by some deterministic functions (i.e., homogeneous superposition coding). In this paper, we propose a new polar coding scheme for the interference channel based on the heterogeneous superposition coding approach of Chong, Motani, and Garg. We prove that fully joint decoding (the receivers simultaneously decode both senders’ common messages and the intended sender’s private message) in the Han–Kobayashi strategy can be simplified to two types of partial-joint decoding, which are friendly to polar coding with practical decoding algorithms. The proposed coding scheme requires less auxiliary random variables and no deterministic functions and can be efficiently constructed. Furthermore, we extend this result to interference networks and show that partial-joint decoding is a general method for designing heterogeneous superposition polar coding schemes in interference networks.
AU - Zheng,M
AU - Ling,C
AU - Chen,W
AU - Tao,M
DO - 10.1109/tit.2018.2878453
EP - 1993
PY - 2019///
SN - 0018-9448
SP - 1973
TI - Polar coding strategies for the interference channel with partial-joint decoding
T2 - IEEE Transactions on Information Theory
UR - http://dx.doi.org/10.1109/tit.2018.2878453
UR - http://hdl.handle.net/10044/1/68045
VL - 65
ER -