Polar Coding Strategies for the Interference Channel With Partial-Joint Decoding
Autor: | Wen Chen, Mengfan Zheng, Cong Ling, Meixia Tao |
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Rok vydání: | 2019 |
Předmět: |
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 |
Zdroj: | IEEE Transactions on Information Theory. 65:1973-1993 |
ISSN: | 1557-9654 0018-9448 |
DOI: | 10.1109/tit.2018.2878453 |
Popis: | 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. |
Databáze: | OpenAIRE |
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