Computer Science – Information Theory
Scientific paper
2009-11-05
Computer Science
Information Theory
27 pages with 6 figures and 2 tables. Accepted for publication in IEEE Trans. Wireless Commu
Scientific paper
This paper considers the multiuser multiple-input multiple-output (MIMO) broadcast channel. We consider the case where the multiple transmit antennas are used to deliver independent data streams to multiple users via vector perturbation. We derive expressions for the sum rate in terms of the average energy of the precoded vector, and use this to derive a high signal-to-noise ratio (SNR) closed-form upper bound, which we show to be tight via simulation. We also propose a modification to vector perturbation where different rates can be allocated to different users. We conclude that for vector perturbation precoding most of the sum rate gains can be achieved by reducing the rate allocation problem to the user selection problem. We then propose a low-complexity user selection algorithm that attempts to maximize the high-SNR sum rate upper bound. Simulations show that the algorithm outperforms other user selection algorithms of similar complexity.
Collings Iain B.
Razi Adeel
Ryan Daniel J.
Yuan Jinhong
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