publication . Preprint . 2008

Sum Rate Maximization using Linear Precoding and Decoding in the Multiuser MIMO Downlink

Tenenbaum, Adam J.; Adve, Raviraj S.;
Open Access English
  • Published: 02 Jan 2008
Abstract
Comment: 6 pages, 4 figures, uses ieeetran.cls
Subjects
arXiv: Computer Science::Information Theory
ACM Computing Classification System: Data_CODINGANDINFORMATIONTHEORY
free text keywords: Computer Science - Information Theory
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23 references, page 1 of 2

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[8] P. Viswanath and D. N. C. Tse, “Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality,” IEEE Trans. Inf. Theory, vol. 49, no. 8, pp. 1912-1921, Aug. 2003.

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[10] N. Jindal, W. Rhee, S. Vishwanath, S. A. Jafar, and A. Goldsmith, “Sum power iterative water-filling for multiple-antenna Gaussian broadcast channels,” IEEE Trans. Inf. Theory, vol. 51, no. 4, pp. 1570-1580, Apr. 2005.

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[14] D. A. Schmidt, M. Joham, R. Hunger, and W. Utschick, “Near maximum sum-rate non-zero-forcing linear precoding with successive user selection,” in Proc. Asilomar Conf. on Signals, Systems and Computers, October 2006, pp. 2092-2096.

[15] M. Stojnic, H. Vikalo, and B. Hassibi, “Rate maximization in multiantenna broadcast chanels with linear preprocessing,” IEEE Trans. Wireless Commun., vol. 5, no. 9, pp. 2338-2342, September 2006. [OpenAIRE]

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