Polar coding strategies for the interference channel with partial-joint decoding
File(s)
Accepted version
OA Location
Author(s)
Zheng, Mengfan
Ling, Cong
Chen, Wen
Tao, Meixia
Type
Journal Article
Abstract
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.
Date Issued
2019-04-01
Date Acceptance
2018-09-18
Citation
IEEE Transactions on Information Theory, 2019, 65 (4), pp.1973-1993
ISSN
0018-9448
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
1973
End Page
1993
Journal / Book Title
IEEE Transactions on Information Theory
Volume
65
Issue
4
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects
cs.IT
math.IT
0801 Artificial Intelligence And Image Processing
0906 Electrical And Electronic Engineering
1005 Communications Technologies
Networking & Telecommunications
Publication Status
Published
Date Publish Online
2018-10-29