Massive MIMO meets small cell : backhaul and cooperation / Howard H. Yang, Tony Q.S. Quek
By: Yang, Howard H., autor
Contributor(s): Quek, Tony Q. S., autor
Material type:
E-bookSeries: (SpringerBriefs in electrical and computer engineering, 2191-8120).Publisher: Switzerland : Springer, [2017]Copyright date: 2017Description: 1 recurso en línea (ix, 61 páginas) : ilustraciones.ISBN: 3319437151; 9783319437156.Subject: Sistemas de comunicación inalámbricos
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5103.4836 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20022081 |
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| TK5103.4835 2021 EB Localization in Underwater Sensor Networks | TK5103.4835 2022 EB Millimeter-Wave Communication Systems : Network Analysis and Hybrid Precoding Design | TK5103.4835 .D8 2016 EB Millimeter-Wave Antennas: Configurations and Applications | TK5103.4836 2017 EB Massive MIMO meets small cell : backhaul and cooperation | TK5103.4836 2018 EB Massive MIMO in 5G Networks : Selected Applications | TK5103.4836 2019 EB Hybrid Massive MIMO Precoding in Cloud-RAN | TK5103.4836 .K43 2016 EB MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems : A MATLAB Based Approach |
Introduction -- Massive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing -- Massive MIMO in Small Cell Networks: Wireless Backhaul -- Conclusions.
"This brief explores the utilization of large antenna arrays in massive multiple-input-multiple-output (MIMO) for both interference suppression, where it can improve cell-edge user rates, and for wireless backhaul in small cell networks, where macro base stations can forward data to small access points in an energy efficient way. Massive MIMO is deemed as a critical technology for next generation wireless technology. By deploying an antenna array that has active elements in excess of the number of users, massive MIMO not only provides tremendous diversity gain but also powers new aspects for network design to improve performance. This brief investigates a better utilization of the excessive spatial dimensions to improve network performance. It combines random matrix theory and stochastic geometry to develop an analytical framework that accounts for all the key features of a network, including number of antenna array, base station density, inter-cell interference, random base station deployment, and network traffic load. The authors explore the impact from different network parameters through numerical analysis. Researchers in wireless network design will find this to be an exceptional resource, as will advanced-level students or professionals working in networking and information systems design"--Provided by publisher.
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