Encoding and Decoding for Multicell Massive MIMO Systems
| Autor: | Haiquan Wang, Mengyun Ying, Wei Zhang, Feng Liu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Minimum mean square error
Computer Networks and Communications Error floor Computer science MIMO Aerospace Engineering List decoding 020302 automobile design & engineering 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Signal-to-noise ratio 0203 mechanical engineering Encoding (memory) Automotive Engineering 0202 electrical engineering electronic engineering information engineering Electronic engineering Code (cryptography) Electrical and Electronic Engineering Algorithm Decoding methods Computer Science::Information Theory |
| Zdroj: | IEEE Transactions on Vehicular Technology. 66:7964-7973 |
| ISSN: | 1939-9359 0018-9545 |
| Popis: | For a multicell, massive multiple-input multiple-output (MIMO) system with pilot reuse, pilot contamination largely degrades the performance of the system. One prominent effect caused by the pilot contamination is the existence of the error floor, that is, the error probability of the system cannot go to zero, even when the signal-to-noise ratio (SNR) of the system goes to infinity. This paper proposes new encoding and decoding schemes to reduce the error floor. In fact, based on the detailed analysis on the massive MIMO system, the design criterion of the encoding is proposed, and several concrete code design examples are given. Moreover, two decoding methods based on the oblique projection are presented, which have lower decoding complexity than the ML decoding while having good error performance. Simulation results show that our schemes have better performance than the system with the minimum mean square error (MMSE) decoder. |
| Databáze: | OpenAIRE |
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