Pilot Assignment for Joint Uplink-Downlink Spectral Efficiency Enhancement in Massive MIMO Systems with Spatial Correlation

The demand for higher data rates can be satisfied by the spectral efficiency (SE) improvement offered by Massive multiple-input multiple-output (M-MIMO) systems. However, the pilot contamination remains as a fundamental issue to obtain the paramount SE in such systems. This propitiated the research of several methods to mitigate pilot contamination. One of these procedures is based on the coordination of the cells, culminating in proposals with multiple pilot training phases. This paper aims to expand the results of the original paper, whereby the concepts of large pilot training phases were offered. The evaluation of such method was conducted through more comprehensible numerical results, in which a large number of antennas were assumed and more rigorous SE expressions were used. The channel estimation approaches relying on multiple pilot training phases were considered cumbersome for implementation and an uninteresting solution to overcome pilot contamination; contradicting the results presented in the genuine paper.

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Joint Pilot Allocation and Power Control to Enhance Max-Min Spectral Efficiency in TDD Massive MIMO Systems

IEEE Access ◽

10.1109/access.2019.2947113 ◽

2019 ◽

Vol 7 ◽

pp. 149191-149201 ◽

Cited By ~ 1

Author(s):

Gang Liu ◽

Honggui Deng ◽

Xuewen Qian ◽

Wenhui Wang ◽

Gaofeng Peng

Keyword(s):

Power Control ◽

Spectral Efficiency ◽

Massive Mimo ◽

Mimo Systems ◽

Pilot Allocation

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Leveraging D2D communication to maximize the spectral efficiency of Massive MIMO systems

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) ◽

10.23919/wiopt.2017.7959929 ◽

2017 ◽

Cited By ~ 1

Author(s):

Asma Afzal ◽

Afef Feki ◽

Merouane Debbah ◽

Syed Ali Zaidi ◽

Mounir Ghogho ◽

...

Keyword(s):

Spectral Efficiency ◽

Massive Mimo ◽

Mimo Systems ◽

D2d Communication

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Enhanced Transmit-Antenna Selection Schemes for Multiuser Massive MIMO Systems

Wireless Communications and Mobile Computing ◽

10.1155/2017/3463950 ◽

2017 ◽

Vol 2017 ◽

pp. 1-6 ◽

Cited By ~ 3

Author(s):

Byung-Jin Lee ◽

Sang-Lim Ju ◽

Nam-il Kim ◽

Kyung-Seok Kim

Keyword(s):

Computational Complexity ◽

Radio Frequency ◽

Spectral Efficiency ◽

Massive Mimo ◽

Mimo Systems ◽

Antenna Selection ◽

Base Station ◽

Base Stations ◽

Transmit Antenna Selection ◽

Selection Scheme

Massive multiple-input multiple-output (MIMO) systems are a core technology designed to achieve the performance objectives defined for 5G wireless communications. They achieve high spectral efficiency, reliability, and diversity gain. However, the many radio frequency chains required in base stations equipped with a high number of transmit antennas imply high hardware costs and computational complexity. Therefore, in this paper, we investigate the use of a transmit-antenna selection scheme, with which the number of required radio frequency chains in the base station can be reduced. This paper proposes two efficient transmit-antenna selection (TAS) schemes designed to consider a trade-off between performance and computational complexity in massive MIMO systems. The spectral efficiency and computational complexity of the proposed schemes are analyzed and compared with existing TAS schemes, showing that the proposed algorithms increase the TAS performance and can be used in practical systems. Additionally, the obtained results enable a better understanding of how TAS affects massive MIMO systems.

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Hardware Phase Shift Hybrid Precoding Designs For Multi-User Massive MIMO Systems

Journal of Physics Conference Series ◽

10.1088/1742-6596/2134/1/012027 ◽

2021 ◽

Vol 2134 (1) ◽

pp. 012027

Author(s):

H Ayad ◽

M Y Bendimerad ◽

F T Bendimerad

Keyword(s):

Spectral Efficiency ◽

Massive Mimo ◽

Phase Shifter ◽

Mimo Systems ◽

Digital Processing ◽

Hybrid Precoding ◽

Double Phase ◽

High Spectral Efficiency ◽

Fixed Phase ◽

Configuration Simulation

Abstract Hybrid precoding is a challenging design for massive MIMO systems that involves a combination of analog and digital processing, aiming to maximize the spectral efficiency (SE). Most works on hybrid precoding focus on the single phase shifter (SPS) implementation to adapt the phase from RF chains to antennas. In this paper we propose to develop the double phase shifter (DPS) and the fixed phase shifter (FPS) in both single-path and multi-path configuration. Simulation results certify a significant improvement for both proposed implementations with high hardware efficiency (HE) and high spectral efficiency especially in multi-path environment.

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

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1016.1292s319 ◽

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.

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