Multicell Multicast with Joint Beamforming and Power Allocation

This paper considers a general multicast system in which multiple cells cooperate to serve multiple multicast groups in the same radio (i.e., time-frequency) resource. To improve the quality of service (QoS) and reduce the interference among the multicast groups, joint beamforming and power allocation among the cells are employed. By exploiting the concept of downlink-uplink duality and principal angle algorithm, an iterative approach is taken to jointly design the maximum signal-to-interference-plus-noise ratio (SINR) beamforming and power allocation under the per-cell power constraints. Simulation results demonstrate that the proposed method achieves a higher minimum SINR (hence the rate) for the multicast groups compared to the conventional single frequency network (SFN) based scheme and a semidefinite programming (SDP) based scheme in the literature.

[1]  Hsuan-Jung Su,et al.  Multiuser MIMO Downlink Beamforming Design Based on Group Maximum SINR Filtering , 2008, IEEE Transactions on Signal Processing.

[2]  Evaggelos Geraniotis,et al.  Maximum signal-to-noise ratio array processing for space-time coded systems , 2002, IEEE Trans. Commun..

[3]  Nikos D. Sidiropoulos,et al.  Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups , 2008, IEEE Transactions on Signal Processing.

[4]  Meixia Tao,et al.  Coordinated Multicast Beamforming in Multicell Networks , 2012, IEEE Transactions on Wireless Communications.

[5]  Merico E. Argentati,et al.  Principal Angles between Subspaces in an A-Based Scalar Product: Algorithms and Perturbation Estimates , 2001, SIAM J. Sci. Comput..

[6]  Nikos D. Sidiropoulos,et al.  Transmit beamforming for physical-layer multicasting , 2006, IEEE Transactions on Signal Processing.

[7]  David Tse,et al.  Downlink-uplink duality and effective bandwidths , 2002, Proceedings IEEE International Symposium on Information Theory,.