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Cognitive Interference Management in Heterogeneous Networks
(Englisch)
SpringerBriefs in Electrical and Computer Engineering
Dania Marabissi & Romano Fantacci

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Cognitive Interference Management in Heterogeneous Networks

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Produktbeschreibung

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.


Heterogeneous Networks.- Interference Management in HetNets.- Cognitive HetNets.- Cognitive Resource Allocation with Beamforming.- Conclusions.



Heterogeneous Networks.- Interference Management in HetNets.- Cognitive HetNets.- Cognitive Resource Allocation with Beamforming.- Conclusions.


Inhaltsverzeichnis



Heterogeneous Networks.- Interference Management in HetNets.- Cognitive HetNets.- Cognitive Resource Allocation with Beamforming.- Conclusions.


Klappentext

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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