Cognitive Interference Management in Heterogeneous Networks / by Dania Marabissi, Romano Fantacci.
By: Marabissi, Dania, autor
Contributor(s): Fantacci, Romano, autor
Material type:
E-bookSeries: (SpringerBriefs in Electrical and Computer Engineering, 2191-8112); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (XII, 77 páginas 27 ilustraciones, 21 ilustraciones a color.).ISBN: 9783319201917.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 | TK5103.2 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112806 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| TK5103.2 2014 EB Mobile Platform Security | TK5103.2 2015 EB Low-Noise Low-Power Design for Phase-Locked Loops Multi-Phase High-Performance Oscillators | TK5103.2 2015 EB Data Transmission at Millimeter Waves Exploiting the 60 GHz Band on Silicon | TK5103.2 2015 EB Cognitive Interference Management in Heterogeneous Networks | TK5103.2 2017 EB Spectrum access and management for cognitive radio networks | TK5103.2 2017 EB Full-duplex wireless communications systems : self-interference cancellation | TK5103.2 2018 EB Resource Allocation in Unlicensed Long Term Evolution HetNets |
Heterogeneous Networks -- Interference Management in HetNets -- Cognitive HetNets -- Cognitive Resource Allocation with Beamforming -- Conclusions.
This brief investigates the role of interference management in Heterogeneous Networks (Het Nets), focusing on cognitive approaches and the use of beamforming. Key concepts of Het Nets are introduced and different deployment strategies are examined, such as sharing the same frequency band of the macro cells or using new high frequency bands. Particular attention is devoted to co-channel deployment and to the problem of interference management, addressing various strategies that can be adopted to handle the interference between the cells. In addition, the brief explores cognitive small cells which are able to avoid or limit interference by using suitable beamforming and resource allocation schemes. The suggested solutions are supported by numerical results in terms of performance evaluations and comparisons.
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