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Iterative Mode-Dropping for the Sum Capacity of MIMO-MAC with Per-Antenna Power Constraint

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2 Author(s)
Yang Zhu ; Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada ; Mai Vu

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.

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Communications, IEEE Transactions on  (Volume:60 ,  Issue: 9 )