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Polar Coding Strategies for the Interference Channel With Partial-Joint Decoding
- Source :
- IEEE Transactions on Information Theory. 65:1973-1993
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
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.
- Subjects :
- Channel code
Computer science
0906 Electrical And Electronic Engineering
0801 Artificial Intelligence And Image Processing
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Library and Information Sciences
Computer Science Applications
Superposition principle
cs.IT
1005 Communications Technologies
0202 electrical engineering, electronic engineering, information engineering
Polar
math.IT
Networking & Telecommunications
Random variable
Algorithm
Decoding methods
Computer Science::Information Theory
Information Systems
Coding (social sciences)
Communication channel
Subjects
Details
- ISSN :
- 15579654 and 00189448
- Volume :
- 65
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Information Theory
- Accession number :
- edsair.doi.dedup.....5e2d92340c084dc86a608094fb9ed3b1
- Full Text :
- https://doi.org/10.1109/tit.2018.2878453