Iterative Mode-Dropping for the Sum Capacity of MIMO-MAC with Per-Antenna Power Constraint
Information Theory
2015-03-20 v1 math.IT
Abstract
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.
Keywords
Cite
@article{arxiv.1202.0445,
title = {Iterative Mode-Dropping for the Sum Capacity of MIMO-MAC with Per-Antenna Power Constraint},
author = {Yang Zhu and Mai Vu},
journal= {arXiv preprint arXiv:1202.0445},
year = {2015}
}
Comments
6 pages double-column, 5 figures