DocumentCode :
2370773
Title :
Adaptive precoding for femtocell interference mitigation
Author :
Elsherif, Ahmed R. ; Ahmedin, Ahmed ; Ding, Zhi ; Liu, Xin
Author_Institution :
Univ. of California, Davis, Davis, CA, USA
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
4315
Lastpage :
4320
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.
Keywords :
MIMO communication; adaptive codes; array signal processing; femtocellular radio; interference suppression; network coding; precoding; quality of service; statistical analysis; telecommunication signalling; telecommunication traffic; HUE; MEVIO beamforming schemes; MUE mean throughput analysis; QoS constraints; adaptive precoding; cellular networks; downlink interference mitigation; femtocellular interference mitigation; heterogeneous MIMO precoding strategy; home user equipments; macrocell clients; macrocell user equipments; network traffic; order statistics theory; resource provisioning; signaling requirement; Array signal processing; Interference; Macrocell networks; Quality of service; Random variables; Throughput; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364053
Filename :
6364053
Link To Document :
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