scholarly journals Massive MIMO Systems for 5G Communications

2021 ◽  
Author(s):  
Sinan A. Khwandah ◽  
John P. Cosmas ◽  
Pavlos I. Lazaridis ◽  
Zaharias D. Zaharis ◽  
Ioannis P. Chochliouros
Keyword(s):  
Spectral Efficiency ◽  
Massive Mimo ◽  
Degrees Of Freedom ◽  
Mimo Systems ◽  
Radio System ◽  
Potential System ◽  
5G Systems ◽  
3D Beamforming ◽  
Mimo Technology ◽  
Simultaneous Transmission

AbstractMassive MIMO will improve the performance of future 5G systems in terms of data rate and spectral efficiency, while accommodating a large number of users. Furthermore, it allows for 3D beamforming in order to provide more degrees of freedom and increase the number of high-throughput users. Massive MIMO is expected to provide more advantages compared to other solutions in terms of energy and spectral efficiency. This will be achieved by focusing the radiation towards the direction of the intended users, thus implementing simultaneous transmission to many users while keeping interference low. It can boost the capacity compared to a conventional antenna solution, resulting in a spectral efficiency up to 50 times greater than that provided by actual 4G technology. However, to take full advantage of this technology and to overcome the challenges of implementation in a real environment, a complicated radio system is required. The purpose of this work is to present the MIMO technology evolution and challenges in a simple introductory way and investigate potential system enhancements.

scholarly journals A Novel Transmit Antenna Selection Algorithms to Improve Energy and Spectral Efficiency

2019 ◽  
Vol 9 (2S3) ◽  
pp. 298-301
Keyword(s):  
Spectral Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Transmit Antenna Selection ◽  
Noise Interference ◽  
Efficiency Performance ◽  
Selection Algorithms ◽  
Mimo Technology ◽  
Selection Of

In massive MIMO systems, the selection of optimal transmits antennas remains as a major constraint. As the number of antennas is increased, the power or energy consumption also increases. Selection of optimal transmit antennas is considered as a multi objective problem, where the energy has to be minimizedand the spectral efficiency (bandwidth) has to be increased. In fact, for attaining higher bandwidth, more transmit antennas have to be selected, which leads to increase in power consumption, In this proposal various papers are reviewed for Energy and Spectral Efficiency performance in Massive MIMO Technology through different algorithms and parameter comparisons are made to identify the better algorithms in terms of EE and SE to achieve the higher data transmission rates, BER, mitigating the inter Noise interference.

scholarly journals On the Spectral Efficiency for Distributed Massive MIMO Systems

2021 ◽  
Vol 11 (22) ◽  
pp. 10926
Author(s):  
Alejandro Ramírez-Arroyo ◽  
Juan Carlos González-Macías ◽  
Jose J. Rico-Palomo ◽  
Javier Carmona-Murillo ◽  
Antonio Martínez-González
Keyword(s):  
Mobile Networks ◽  
Mobile Communications ◽  
Spectral Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Mobile Network ◽  
Power Balance ◽  
Physical Channel ◽  
Reverberation Chambers ◽  
Mimo Technology

Distributed MIMO (D-MIMO) systems are expected to play a key role in deployments for future mobile communications. Together with massive MIMO technology, D-MIMO aims to maximize the spectral efficiency and data rate in mobile networks. This paper proposes a deep study on the spectral efficiency of D-MIMO systems for essential channel parameters, such as the channel power balance or the correlation between propagation channels. For that purpose, several propagation channels were acquired in both anechoic and reverberation chambers and were emulated using channel simulators. In addition, several frequency bands were studied, both the sub–6 GHz band and mmWave band. The results of this study revealed the high influence of channel correlation and power balance on the physical channel performance. Low-correlated and high-power balance propagation channels show better performances than high correlated and power unbalance channels in terms of spectral efficiency. Given these results, it will be fundamental to take into account the spectral efficiency of D-MIMO systems when designing criteria to establish multi-connectivity in future mobile network deployments.

scholarly journals Pencil and Shaped Beam Patterns Synthesis Using a Hybrid GA/l₁ Optimization and Its Application to Improve Spectral Efficiency of Massive MIMO Systems

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 38202-38220
Author(s):  
Samar Ibrahim Farghaly ◽  
Hussein Eltaibee Seleem ◽  
Mustafa Mahmoud Abd-Elnaby ◽  
Amr Hussein Hussein
Keyword(s):  
Spectral Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Shaped Beam ◽  
Beam Patterns

scholarly journals 3D Beamforming Technologies and Field Trials in 5G Massive MIMO Systems

2020 ◽  
Vol 1 ◽  
pp. 362-371
Author(s):  
Jiangzhou Wang ◽  
Wei Deng ◽  
Xin Li ◽  
Huiling Zhu ◽  
Manish Nair ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Field Trials ◽  
3D Beamforming

scholarly journals Statistical Beamforming for Massive MIMO Systems with Distinct Spatial Correlations

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6255
Author(s):  
Taehyoung Kim ◽  
Sangjoon Park
Keyword(s):  
Massive Mimo ◽  
Degrees Of Freedom ◽  
Mimo Systems ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
High Signal ◽  
Spatial Correlations ◽  
Channel Correlation ◽  
Low Correlation ◽  
Noise Ratio

In this paper, we propose a novel statistical beamforming (SBF) method called the partial-nulling-based SBF (PN-SBF) to serve a number of users that are undergoing distinct degrees of spatial channel correlations in massive multiple-input multiple-output (MIMO) systems. We consider a massive MIMO system with two user groups. The first group experiences a low spatial channel correlation, whereas the second group has a high spatial channel correlation, which can happen in massive MIMO systems that are based on fifth-generation networks. By analyzing the statistical signal-to-interference-plus-noise ratio, it can be observed that the statistical beamforming vector for the low-correlation group should be designed as the orthogonal complement for the space spanned by the aggregated channel covariance matrices of the high-correlation group. Meanwhile, the spatial degrees of freedom for the high-correlation group should be preserved without cancelling the interference to the low-correlation group. Accordingly, a group-common pre-beamforming matrix is applied to the low-correlation group to cancel the interference to the high-correlation group. In addition, to deal with the intra-group interference in each group, the post-beamforming vector for each group is designed in the manner of maximizing the signal-to-leakage-and-noise ratio, which yields additional performance improvements for the PN-SBF. The simulation results verify that the proposed PN-SBF outperforms the conventional SBF schemes in terms of the ergodic sum rate for the massive MIMO systems with distinct spatial correlations, without the rate ceiling effect in the high signal-to-noise ratio region unlike conventional SBF schemes.

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