Performance Analysis of Energy Efficiency Ensuring Techniques In Massive Mimo For 5G Communication Networks
| dc.contributor.advisor | Yihenew, Wondie (PhD) | |
| dc.contributor.author | Haile, Araya | |
| dc.date.accessioned | 2023-11-28T09:38:56Z | |
| dc.date.accessioned | 2023-11-28T14:09:05Z | |
| dc.date.available | 2023-11-28T09:38:56Z | |
| dc.date.available | 2023-11-28T14:09:05Z | |
| dc.date.issued | 2023-09 | |
| dc.description.abstract | Wireless communication technology is increasing to satisfy the needs of customers. With the emergence of new technologies, energy consumption is one of the most important performance metrics. According to the requirements of the 5th generation wireless communication system, energy consumption should not increase from the level of the current networks (4G), even though the amount of data is expected to be significantly higher. Therefore, energy efficiency has been set as one of the major objectives for recent cellular networks. Massive multiple-input-multiple-output (M-MIMO) is the key technology to providing higher energy efficiency (EE) and data throughput in 5G wireless communication systems. This thesis focuses on the performance analysis of energy efficiency higher than energy consumption for 5G networks using massive multiple-input multiple-output (M-MIMO). Minimizing the power consumption per user’s equipment (UE) with increasing throughput. The main design parameters used are the power consumption per user’s equipment (PC), the data rate of the system (R), and the massive number of antennas (M) and users’ equipment (K). Energy efficiency is defined as the system throughput per unit of power consumption as a function of a massive number of antennas and users. The performance analysis and comparison used are pre-coding schemes such as multi-cell minimum means square error (M-MMSE), zero-forcing (ZF/RZF), and maximum ratio combination (MRC). MATLAB tools are used to analyze and demonstrate numerical results. The analyzed results show that energy efficiency (EE) is higher than energy consumption in a massive MIMO for 5G wireless communication systems. The overall simulated result of multi-cell minimum mean square error (M-MMSE) is the best pre-coding technique to maximize energy efficiency (EE) rather than total energy consumption in massive MIMO for 5G wireless networks. However, MRC achieves the lowest performance and energy efficiency as the massive number of antennas increases in massive MIMO for 5G cellular communication networks. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/32701 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | fifth-generation (5thG) | en_US |
| dc.subject | massive multiple-input-multiple-output (MIMO) | en_US |
| dc.subject | energy efficiency | en_US |
| dc.subject | power consumption | en_US |
| dc.subject | data rate and Precoding | en_US |
| dc.title | Performance Analysis of Energy Efficiency Ensuring Techniques In Massive Mimo For 5G Communication Networks | en_US |
| dc.type | Thesis | en_US |