Precoder design for weighted sum delay minimization in MIMO physical layer multicasting

This paper considers the design of linear transmit precoding schemes to minimize the weighted sum delay metric over a K-user multi-antenna multicast channel. Limited by the rank and power constraints, the precoding matrices are designed under two interesting scenarios. The first scenario assumes the availability of pilots that can be precoded, using which the transmitter can convey any choice of transmit precoders to the users. Consequently, the sought transmit precoders can be any complex-valued matrices subject to given rank (dimensionality) and power (norm) constraints. A provably convergent cyclic alternating ascent based algorithm is proposed for a relaxed version of the problem, and is shown to attain at least a stationary point. Assuming that no such pilots are available, the second scenario constrains the transmit precoders to lie in a finite codebook. A concatenation based approach is adopted for constructing higher rank precoding matrices, which can facilitate the precoder search and allow for efficient signaling. A simple deterministic algorithm is proposed which involves maximizing a submodular rate function per step, and yields a worst-case performance guarantee.

[1]  Zhi-Quan Luo,et al.  Max-Min Fairness Linear Transceiver Design for a Multi-User MIMO Interference Channel , 2011, IEEE Transactions on Signal Processing.

[2]  John M. Cioffi,et al.  Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design , 2008, IEEE Trans. Wirel. Commun..

[3]  Zhi-Quan Luo,et al.  Capacity Limits of Multiple Antenna Multicast , 2006, 2006 IEEE International Symposium on Information Theory.

[4]  Yossi Azar,et al.  Efficient Submodular Function Maximization under Linear Packing Constraints , 2012, ICALP.

[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]  Jos F. Sturm,et al.  A Matlab toolbox for optimization over symmetric cones , 1999 .

[7]  Yossi Azar,et al.  Ranking with submodular valuations , 2010, SODA '11.

[8]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[9]  Holger Boche,et al.  Physical layer multicasting with linear MIMO transceivers , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[10]  Aravind Srinivasan,et al.  On k-Column Sparse Packing Programs , 2009, IPCO.

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

[12]  Hao Zhu,et al.  Precoder Design for Physical Layer Multicasting , 2011, IEEE Transactions on Signal Processing.

[13]  M. L. Fisher,et al.  An analysis of approximations for maximizing submodular set functions—I , 1978, Math. Program..

[14]  Beverly Sackler,et al.  WEB SEARCH RANKING AND ALLOCATION MECHANISMS , 2010 .