EM Algorithm Based MAP Channel Estimation for Multi-Cell Massive MIMO Systems
| Autor: | Bahattin Karakaya, Senol Sancar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Mean squared error
Computational complexity theory Computer science MIMO Maximum A Posteriori Least Squares 020206 networking & telecommunications 02 engineering and technology MMSE Matrix (mathematics) Expectation–maximization algorithm 0202 electrical engineering electronic engineering information engineering Maximum a posteriori estimation Multi-Cell Massive MIMO Channel Estimation EM-Algorithm Algorithm Pilot Contamination Communication channel Conjugate transpose |
| Zdroj: | BlackSeaCom |
| DOI: | 10.1109/blackseacom.2018.8433697 |
| Popis: | IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) -- JUN 04-07, 2018 -- Batumi, GEORGIA WOS: 000449616800028 This paper represents an efficient expectation-maximization (EM) algorithm based maximum a posteriori (MAP) channel estimation method for multi-cell massive multiple input multiple output (MIMO) systems. MAP channel estimation method requires conjugate transpose of a T x K pilot matrix where T is the number of pilot symbols per user and K is the number of single antenna users. Conjugate transpose of large-size matrix increases computational complexity. The proposed method estimates the channel iteratively and converges to the same mean square error (MSE) performance of the MAP estimator with the increasing number of iterations. Consequently, the proposed method with low-rank approximation avoids conjugate transpose of large-size matrix and hence reduces the computational complexity significantly. IEEE |
| Databáze: | OpenAIRE |
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