J. He, Y. Li, G. Wu, S. Qian, Q. Xue and T. Matsumoto, "Performance Improvement of Joint Source-Channel Coding With Unequal Power Allocation," in IEEE Wireless Communications Letters, vol. 6, no. 5, pp. 582-585, Oct. 2017. doi: 10.1109/LWC.2017.2718542
Performance improvement of joint source-channel coding with unequal power allocation
|Author:||He, Jiguang1; Li, Yong2; Wu, Guangfu3;|
1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2 Key Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3Department of Information Engineering, Jiangxi University of Science and Technology, Jiangxi 341000, China
4School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, Japan
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062926682
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-06-29
We develop a joint source-channel coding (JSCC) scheme based on an unequal power allocation strategy, in which different levels of power are allocated according to a priori probability distribution of the information bits. Two protograph low-density parity-check codes are used as the source code and the channel code, respectively, in the proposed JSCC scheme. With fixed row weight and row element alphabet, optimization on the source code is conducted via random search to obtain a best-found base matrix with the lowest decoding threshold among all the searched base matrices. Simulation results show that the new JSCC scheme outperforms the traditional equal power allocation-based JSCC by exploiting the source statistics at the decoder. Moreover, theoretical threshold analysis is in agreement with the practical simulation results.
IEEE wireless communications letters
|Pages:||582 - 585|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work is partially supported by China NSF under Grants 61401050 and 11461031.
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