Computer Science – Information Theory
Scientific paper
2012-02-02
Computer Science
Information Theory
6 pages double-column, 5 figures
Scientific paper
We propose an iterative mode-dropping algorithm that optimizes input signals to achieve the sum capacity of the MIMO-MAC with per-antenna power constraint. The algorithm successively optimizes each user's input covariance matrix by applying mode-dropping to the equivalent single-user MIMO rate maximization problem. Both analysis and simulation show fast convergence. We then use the algorithm to briefly highlight the difference in MIMO-MAC capacities under sum and per-antenna power constraints.
Vu Mai
Zhu Yang
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