Efficient Limited Feedback Schemes for Network MIMO Systems

In this paper, a feedback channel selection scheme and a bit allocation scheme are proposed for a network MIMO system with limited feedback. The feedback channel selection is performed by comparing the gain of each channel vector with a certain threshold. In particular, we derive an optimal threshold that maximizes a utility function, which is defined in terms of the expected rate of each user. In addition, we also develop an unequal feedback bit allocation scheme over the selected set of channels to further improve the system performance. It is shown that the joint feedback channel selection and bit allocation can provide significant gain in the average sum rate for a network MIMO system with limited feedback.

[1]  David Gesbert,et al.  Efficient Selective Feedback Design for Multicell Cooperative Networks , 2011, IEEE Transactions on Vehicular Technology.

[2]  Andrea J. Goldsmith,et al.  Multi-Antenna Downlink Channels with Limited Feedback and User Selection , 2007, IEEE Journal on Selected Areas in Communications.

[3]  Reinaldo A. Valenzuela,et al.  Network coordination for spectrally efficient communications in cellular systems , 2006, IEEE Wireless Communications.

[4]  Nihar Jindal.  MIMO broadcast channels with finite rate feedback , 2005, GLOBECOM.

[5]  Kwang Bok Lee,et al.  Dynamic Channel Feedback Control for Limited-Feedback Multi-User MIMO Systems , 2009, 2009 IEEE International Conference on Communications.

[6]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[7]  Kwang Bok Lee,et al.  A novel uplink MIMO transmission scheme in a multicell environment , 2009, IEEE Transactions on Wireless Communications.

[8]  Zhisheng Niu,et al.  Distributed Adaptation of Quantized Feedback for Downlink Network MIMO Systems , 2011, IEEE Transactions on Wireless Communications.

[9]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[10]  Mérouane Debbah,et al.  Outage efficient strategies for network MIMO with partial CSIT , 2009, 2009 IEEE International Symposium on Information Theory.

[11]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[12]  Jeffrey G. Andrews,et al.  Networked MIMO with clustered linear precoding , 2008, IEEE Transactions on Wireless Communications.