Title :
Interference Alignment for Cooperative MIMO Femtocell Networks
Author :
Guler, Basak ; Yener, Aylin
Author_Institution :
Electr. Eng. Dept., Pennsylvania State Univ., University Park, PA, USA
Abstract :
This paper proposes a method for applying the idea of Interference Alignment (IA) in femtocell networks. In order to manage the uplink interference caused by macrocell users at the femtocell base stations (FBS), cooperation between macrocell users with the closest femtocell base stations could be used to align the received signals of macrocell users in the same subspace at multiple FBS simultaneously. We develop a method to apply IA while providing the QoS requirements of macrocell users, in terms of minimum received SINR at the macrocell base station (MBS). With this approach, the BER performance of femtocell users is shown to improve, while maintaining the quality of the communication channel of macrocell users.
Keywords :
MIMO communication; cooperative communication; error statistics; femtocellular radio; mobility management (mobile radio); radiofrequency interference; BER performance; FBS; IA; MBS; QoS requirements; communication channel quality; cooperative MIMO femtocell networks; femtocell base stations; interference alignment; macrocell base station; macrocell users; multiple-input multiple-output system; uplink interference management; Base stations; Interference; Joints; Macrocell networks; Quality of service; Signal to noise ratio; Vectors;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2011.6134195