TY - GEN
T1 - Robust beamforming and power control for two-tier femtocell networks
AU - Mo, Ronghong
AU - Quek, Tony Q.S.
AU - Heath, Robert W.
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - In this paper, we consider a two-tier network consisting of a macrocell and several closed-access femtocells sharing bandwidth with the macrocell. With multiple transmit antennas at both the macrocell and femtocell base stations, we propose a downlink power control and beamforming algorithm in two steps. In the first step, the beamformer of the macrocell base station is chosen to be the maximal ratio transmission beamformer, and we determine the power allocation at the macrocell and all femtocell base stations in a centralized manner by constraining that the signal power and leakage power associated with the femtocell beamformers satisfied certain predetermined thresholds. In the second step, the femtocell beamformers are obtained in a distributed manner by taking into account these thresholds. In the presence of imperfect channel state information, we further extend our proposed algorithm in a robust manner using robust optimization methodology.
AB - In this paper, we consider a two-tier network consisting of a macrocell and several closed-access femtocells sharing bandwidth with the macrocell. With multiple transmit antennas at both the macrocell and femtocell base stations, we propose a downlink power control and beamforming algorithm in two steps. In the first step, the beamformer of the macrocell base station is chosen to be the maximal ratio transmission beamformer, and we determine the power allocation at the macrocell and all femtocell base stations in a centralized manner by constraining that the signal power and leakage power associated with the femtocell beamformers satisfied certain predetermined thresholds. In the second step, the femtocell beamformers are obtained in a distributed manner by taking into account these thresholds. In the presence of imperfect channel state information, we further extend our proposed algorithm in a robust manner using robust optimization methodology.
UR - https://www.scopus.com/pages/publications/80051971616
UR - https://www.scopus.com/pages/publications/80051971616#tab=citedBy
U2 - 10.1109/VETECS.2011.5956628
DO - 10.1109/VETECS.2011.5956628
M3 - Conference contribution
AN - SCOPUS:80051971616
SN - 9781424483310
T3 - IEEE Vehicular Technology Conference
BT - 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
T2 - 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
Y2 - 15 May 2011 through 18 May 2011
ER -