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Rate maximization in multi-antenna broadcast channels with linear preprocessing

Stojnic, Mihailo and Vikalo, Haris and Hassibi, Babak (2004) Rate maximization in multi-antenna broadcast channels with linear preprocessing. In: IEEE Global Telecommunications Conference, 2004. GLOBECOM '04. Vol.6. IEEE , Piscataway, NJ, pp. 3597-3961. ISBN 0780387945.

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The sum rate capacity of the multi-antenna broadcast channel has recently been computed. However, the search for efficient practical schemes that achieve it is still ongoing. In this paper, we focus on schemes with linear preprocessing of the transmitted data. We propose two criteria for precoding matrix design, one maximizing the sum rate and the other maximizing the minimum rate among all users. The latter problem is shown to be quasiconvex and is solved exactly via the bisection method. In addition to precoding, we employ a signal scaling scheme that minimizes average bit-error-rate (BER). The signal scaling scheme is posed as a convex optimization problem, and thus can be solved exactly via efficient interior-point methods. In terms of achievable sum rate, the proposed technique significantly outperforms traditional channel inversion methods, while having comparable (in fact, often superior) BER performance.

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Additional Information:© 2004 IEEE. This work was supported in part by the National Science Foundation under grant no. CCR-0133818, by the Office of Naval Research under grant no. N00014-02-1-0578, and by Caltech’s Lee Center for Advanced Networking
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Office of Naval Research (ONR)N00014-02-1-0578
Caltech Lee Center for Advanced NetworkingUNSPECIFIED
Record Number:CaltechAUTHORS:20190308-135958382
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Official Citation:M. Stojnic, H. Vikalo and B. Hassibi, "Rate maximization in multi-antenna broadcast channels with linear preprocessing," IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., Dallas, TX, 2004, pp. 3957-3961 Vol.6. doi: 10.1109/GLOCOM.2004.1379110
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93662
Deposited By: George Porter
Deposited On:08 Mar 2019 22:27
Last Modified:16 Nov 2021 16:59

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