Multicast Networks With Variable-Length Limited Feedback

We investigate the channel quantization problem for two-user multicast networks where the transmitter is equipped with multiple antennas and either receiver is equipped with only a single antenna. Our goal is to design a global quantizer to minimize the outage probability. It is known that any fixed-length quantizer with a finite-cardinality codebook cannot obtain the same minimum outage probability as the case where all nodes in the network know perfect channel state information (CSI). To achieve the minimum outage probability, we propose a variable-length global quantizer that knows perfect CSI and sends quantized CSI to the transmitter and receivers. With a random infinite-cardinality codebook, we prove that the proposed quantizer is able to achieve the minimum outage probability with a low average feedback rate. We also extend the proposed quantizer to the multicast networks with more than two users. Numerical simulations validate our theoretical analysis.

[1]  Hamid Jafarkhani,et al.  Very Low-Rate Variable-Length Channel Quantization for Minimum Outage Probability , 2013, 2013 Data Compression Conference.

[2]  Yang Liu,et al.  Soft-encoding distributed coding for parallel relay systems , 2013, 2013 IEEE International Symposium on Information Theory.

[3]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[4]  Hamid Jafarkhani,et al.  Distributed Beamforming in Wireless Multiuser Relay-Interference Networks With Quantized Feedback , 2010, IEEE Transactions on Information Theory.

[5]  David James Love,et al.  Optimal and Successive Approaches to Signal Design for Multiple Antenna Physical Layer Multicasting , 2011, IEEE Transactions on Communications.

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

[7]  Nihar Jindal,et al.  MIMO broadcast channels with finite rate feedback , 2006, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[8]  Anthony Man-Cho So,et al.  Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding , 2013, IEEE Transactions on Signal Processing.

[9]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[10]  Elza Erkip,et al.  On beamforming with finite rate feedback in multiple-antenna systems , 2003, IEEE Trans. Inf. Theory.

[11]  Hamid Jafarkhani,et al.  Variable-Length Limited Feedback Beamforming in Multiple-Antenna Fading Channels , 2014, IEEE Transactions on Information Theory.

[12]  Yindi Jing,et al.  Distributed beamforming in wireless relay networks with quantized feedback , 2008, IEEE Journal on Selected Areas in Communications.

[13]  Bhaskar D. Rao,et al.  Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach , 2006, IEEE Transactions on Information Theory.

[14]  David James Love,et al.  On the performance of random vector quantization limited feedback beamforming in a MISO system , 2007, IEEE Transactions on Wireless Communications.