Low-complexity Iterative Detector for Massive MIMO Systems
| Autor: | Mikhail Bakulin, Taoufik Ben Rejeb, Vitaly Kreyndelin, Aleksey Smirnov |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 22-27 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 |
| DOI: | 10.23919/FRUCT50888.2021.9347613 |
| Popis: | Application of Multiple-input Multiple-output (MIMO) technology provides high data rates in modern standards of wireless communication. MIMO technology is characterized by the use of dozens of antennas on the transmitting and receiving sides, or even hundreds of antennas for the so-called massive MIMO technology. Massive MIMO is often considered as a key technology for 5G New Radio (NR). However, due to the increase in the number of antennas on the receiving and transmitting sides, the computational complexity of signal processing on the receiving side also increases. We suggest a new algorithm for signal detection for massive MIMO systems with lower computational complexity than the known Minimum Mean Square Error (MMSE) equalizer. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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