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Achieving QoS and Efficiency in the MIMO Downlink with Limited Power
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In this paper we study the problem of maximizing a weighted sum of rates under a sum power constraint in the multiple input multiple output (MIMO) downlink while rate requirements have to be met for a subset of users. This setting reflects a more sophisticated problem of resource allocation combining an efficiency objective with strict Quality of Service (QoS) constraints. It is shown that the problem can be formulated as a convex optimization problem. Unlike in the case of pure weighted rate-sum maximization (WRSM), the question of feasibility arises. Moreover, the optimum Dirty-Paper Coding (DPC) order is not given by the ordering of the initial weights, but can be derived from the Lagrangian multipliers combined with the initial weights. An efficient algorithm based on primal-dual optimization is proposed which provably converges to the global optimum. The convergence properties are illustrated by means of numerical simulations.
- Multi-antenna Systems
- Information Theory
@inproceedings{MW07aqae,
author = "T. Michel and G. Wunder",
title = "{Achieving QoS and Efficiency in the MIMO Downlink with Limited Power}",
booktitle = "{Proc. ITG/IEEE Int. Workshop on Smart Antennas (WSA)}",
address = "Vienna",
month = feb,
year = "2007",
}
Last modified 13.03.2008 11:37
Fokusseminar 02.11.2012
