Low Complexity Beam Searching Algorithm Using Asymptotic Property of Massive MIMO Systems
| Autor: | Hyun-Chul Kim, Jaemin Jung, Seung-Kwon Baek, Seongbae Han, Sooyong Choi, Seokki Kim |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
MIMO Codebook 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Precoding Signal-to-noise ratio 0203 mechanical engineering Search algorithm Singular value decomposition 0202 electrical engineering electronic engineering information engineering Algorithm Selection (genetic algorithm) Beam (structure) Computer Science::Information Theory |
| Zdroj: | ICUFN |
| Popis: | This paper considers a low complexity codebook-based beam searching algorithm for massive MIMO (Multiple Input Multiple Output) systems in limited scattering environments. Based on the asymptotic property of the massive MIMO systems that the channel array response vector converges to the optimal precoding vector derived from channel singular value decomposition (SVD), we propose a independent selection method for the transmitter (TX) and receiver (RX) beam vectors. Due to the independent selection of the Tx and Rx beam vectors from the asymptotic property, the proposed algorithm has a much lower complexity compared to the full search beam selection method. Furthermore, the proposed algorithm shows the similar data rates to the full search beam selection method at low signal to noise ratio regions in a 6-bit codebook system with 64×64 antennas and 2 RF chains at each TX and RX. |
| Databáze: | OpenAIRE |
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