scholarly journals An optimal location strategy for multiple drone base stations in massive MIMO

ICT Express ◽  
2021 ◽  
Author(s):  
Manuel Eugenio Morocho-Cayamcela ◽  
Wansu Lim ◽  
Martin Maier
Keyword(s):  
Massive Mimo ◽  
Optimal Location ◽  
Base Stations ◽  
Location Strategy

scholarly journals Massive MIMO antenna system for 5G base stations with directive ports and switched beamsteering capabilities

2018 ◽  
Vol 12 (10) ◽  
pp. 1709-1718 ◽  
Author(s):  
Monjed A. Al‐Tarifi ◽  
Mohammad S. Sharawi ◽  
Atif Shamim
Keyword(s):  
Massive Mimo ◽  
Antenna System ◽  
Base Stations ◽  
Mimo Antenna

scholarly journals Application of cell-free massive MIMO in 5G and beyond 5G wireless networks: a survey

2021 ◽  
Vol 68 (1) ◽  
Author(s):  
Hope Ikoghene Obakhena ◽  
Agbotiname Lucky Imoize ◽  
Francis Ifeanyi Anyasi ◽  
K. V. N. Kavitha
Keyword(s):  
Wireless Networks ◽  
Massive Mimo ◽  
System Modeling ◽  
High Capacity ◽  
High Energy ◽  
Lessons Learned ◽  
Base Stations ◽  
Innovative Technology ◽  
Processing Unit ◽  
Central Processing

AbstractIn recent times, the rapid growth in mobile subscriptions and the associated demand for high data rates fuels the need for a robust wireless network design to meet the required capacity and coverage. Deploying massive numbers of cellular base stations (BSs) over a geographic area to fulfill high-capacity demands and broad network coverage is quite challenging due to inter-cell interference and significant rate variations. Cell-free massive MIMO (CF-mMIMO), a key enabler for 5G and 6G wireless networks, has been identified as an innovative technology to address this problem. In CF-mMIMO, many irregularly scattered single access points (APs) are linked to a central processing unit (CPU) via a backhaul network that coherently serves a limited number of mobile stations (MSs) to achieve high energy efficiency (EE) and spectral gains. This paper presents key areas of applications of CF-mMIMO in the ubiquitous 5G, and the envisioned 6G wireless networks. First, a foundational background on massive MIMO solutions-cellular massive MIMO, network MIMO, and CF-mMIMO is presented, focusing on the application areas and associated challenges. Additionally, CF-mMIMO architectures, design considerations, and system modeling are discussed extensively. Furthermore, the key areas of application of CF-mMIMO such as simultaneous wireless information and power transfer (SWIPT), channel hardening, hardware efficiency, power control, non-orthogonal multiple access (NOMA), spectral efficiency (SE), and EE are discussed exhaustively. Finally, the research directions, open issues, and lessons learned to stimulate cutting-edge research in this emerging domain of wireless communications are highlighted.

On the Challenge of Over-The-Air Measurements of High-Power Massive MIMO Radio Base Stations

2021 ◽  
Author(s):  
Adam Tankielun ◽  
Gerd Saala ◽  
Sebastian Schmitz ◽  
Hendrik Bartko ◽  
Benoit Derat ◽  
...  
Keyword(s):  
High Power ◽  
Massive Mimo ◽  
Base Stations

Validation of Over-The-Air Testing Accuracy at Mid-Range Distance for Massive MIMO Base Stations

2021 ◽  
Author(s):  
Benoit Derat ◽  
Mert Celik ◽  
Aidin Razavi ◽  
Aurelian Bria ◽  
Jonas Friden
Keyword(s):  
Massive Mimo ◽  
Base Stations ◽  
Testing Accuracy

scholarly journals Optimal Low-Power Design of a Multicell Multiuser Massive MIMO System at 3.7 GHz for 5G Wireless Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Michel Matalatala ◽  
Margot Deruyck ◽  
Emmeric Tanghe ◽  
Luc Martens ◽  
Wout Joseph
Keyword(s):  
Low Power ◽  
Communication Networks ◽  
Massive Mimo ◽  
Mimo System ◽  
Low Power Design ◽  
Base Station ◽  
Base Stations ◽  
Reference Network ◽  
Power Requirement ◽  
Time Frequency

Massive MIMO techniques are expected to deliver significant performance gains for the future wireless communication networks by improving the spectral and the energy efficiencies. In this paper, we propose a method to optimize the positions, the coverage, and the energy consumption of the massive MIMO base stations within a suburban area in Ghent, Belgium, while meeting the low power requirements. The results reveal that massive MIMO provides better performances for the crowded scenario where users’ mobility is limited. With 256 antennas, a massive MIMO base station can simultaneously multiplex 18 users at the same time-frequency resource while consuming 8 times less power and providing 200 times more capacity than a 4G reference network for the same coverage. Moreover, a pilot reuse pattern of 3 is recommended in a multiuser multicell environment to obtain a good tradeoff between the high spectral efficiency and the low power requirement.

scholarly journals Multi-Objective Optimization of Massive MIMO 5G Wireless Networks towards Power Consumption, Uplink and Downlink Exposure

2019 ◽  
Vol 9 (22) ◽  
pp. 4974 ◽  
Author(s):  
Michel Matalatala ◽  
Margot Deruyck ◽  
Sergei Shikhantsov ◽  
Emmeric Tanghe ◽  
David Plets ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Electric Field ◽  
Power Consumption ◽  
Massive Mimo ◽  
Rapid Development ◽  
Multiple Input Multiple Output ◽  
Base Stations ◽  
Reference Scenario ◽  
User Coverage ◽  
Input Multiple Output

The rapid development of the number of wireless broadband devices requires that the induced uplink exposure be addressed during the design of the future wireless networks, in addition to the downlink exposure due to the transmission of the base stations. In this paper, the positions and power levels of massive MIMO-LTE (Multiple Input Multiple Output-Long Term Evolution) base stations are optimized towards low power consumption, low downlink and uplink electromagnetic exposure and maximal user coverage. A suburban area in Ghent, Belgium has been considered. The results show that the higher the number of BS antenna elements, the fewer number of BSs the massive MIMO network requires. This leads to a decrease of the downlink exposure (−12% for the electric field and −32% for the downlink dose) and an increase of the uplink exposure (+70% for the uplink dose), whereas both downlink and uplink exposure increase with the number of simultaneous served users (+174% for the electric field and +22% for the uplink SAR). The optimal massive MIMO network presenting the better trade-off between the power consumption, the total dose and the user coverage has been obtained with 37 64-antenna BSs. Moreover, the level of the downlink electromagnetic exposure (electric field) of the massive MIMO network is 5 times lower than the 4G reference scenario.

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