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https://doi.org/10.1109/icc.20...
Article . 2012 . Peer-reviewed
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Adaptive precoding for femtocell interference mitigation

Authors: Ahmed R. Elsherif; Ahmed Ahmedin; Zhi Ding 0001; Xin Liu 0002;

Adaptive precoding for femtocell interference mitigation

Abstract

In this paper1, we study interference mitigation in cellular networks with femtocells. We propose to use adaptive distributed beamforming to mitigate downlink interference between femtocell users, known as Home User Equipments (HUEs), and macrocell users, known as Macrocell User Equipments (MUEs). We develop three MEVIO beamforming schemes for interference mitigation that take into account the QoS requirement of femtocell and macrocell clients. These new heterogeneous MIMO precoding strategies improve flexibility in resource provisioning and signaling requirement in response to QoS need. The proposed schemes minimize the interference at the MUE or maximize the throughput at the HUE depending on the network traffic and QoS constraints. We also analyze the MUE mean throughput by applying order statistics theory.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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