| Publisher | Stanford University | ||
|---|---|---|---|
| Format | 112.1KB PDF | Date added | 18 Mar 2006 |
| Topics | Wireless LAN, Mac OS, Mobile - Wireless Communications | ||
| Downloads | 47 | ||
A class of optimal resource allocation problems in linear Gaussian Multiple-access and Broadcast channels (MAC and BC) can be summarized as weighted sum power minimization problem. In this paper an iterative water-filling algorithm is proposed to solve this problem efficiently. It is shown that by formulating an explicit rate expression for MAC, though non-convex of power spectral densities, the KKT conditions demonstrate a strong water-filling flavor. By iteratively solving the KKT conditions, whereas in each iteration a slightly modified single-user Margin Adaptive Water-Filling(MAWF) algorithm is applied to update the dual variable in a greedy manner, the power spectral density of each user converges to the optimal solution very fast. Simulations verify zero duality gap and fast convergence.
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