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| dc.contributor.author | YIBELTAL, ANDUALEM | |
| dc.date.accessioned | 2022-11-18T07:18:41Z | |
| dc.date.available | 2022-11-18T07:18:41Z | |
| dc.date.issued | 2022-07 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/14468 | |
| dc.description.abstract | Wireless communication systems are the noticeably emergent technologies of these decades. MmWave massive MIMO system which use large numbers of antennas at the base station are expected to play a key roles in future communication systems. However, the large number of antenna elements in mmwave massive MIMO the higher the challenge due to the interference which is a main impairment to successful communication. In this thesis, adaptive beamforming algorithm is used to mitigate the interference exists in mmWave massive MIMO. This adaptive beamforming algorithm use LMS, MVDR, LCMV and takes the best one LMS and LCMV beamforming techniques have good performance to minimize the interference. We also use MUSIC (multiple signal classification) algorithm to estimate the direction of the beam and this algorithm also used to estimate the direction of arrival efficiently. Since it would be a promising solution in order to avoid interference problems where conventional beamformers are susceptible to interference signals. Gener-ally this thesis evaluate the interference between beams by using the coherence between the different beams by varying number of antenna, number of samples, SNR, incidence angle between the beam and the distance between the arrays. Key Words: massive MIMO, mmwave, adaptive beamforming, LMS, DOA | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Faculty of Electrical and Computer Engineering | en_US |
| dc.title | Interference management by Adaptive Beamforming Algorithm in mmWave Massive MIMO | en_US |
| dc.type | Thesis | en_US |
