Abstract
We determine the power-allocation policy that maximizes the mutual information for general multiple-input multiple-output Gaussian channels with arbitrary input distributions, by capitalizing on the recent relationship between mutual information and minimum mean squared error (MMSE). In this context, we put forth a novel interpretation of the optimal power-allocation procedure that generalizes the mercury/waterfilling algorithm, previously proposed for parallel non-interfering channels. In this generalization the mercury level accounts for the sub-optimal (non-Gaussian) input distribution and the interferences between inputs.
Original language | English (US) |
---|---|
Title of host publication | 45th Annual Allerton Conference on Communication, Control, and Computing 2007 |
Publisher | University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering |
Pages | 198-205 |
Number of pages | 8 |
Volume | 1 |
ISBN (Electronic) | 9781605600864 |
State | Published - Jan 1 2007 |
Event | 45th Annual Allerton Conference on Communication, Control, and Computing 2007 - Monticello, United States Duration: Sep 26 2007 → Sep 28 2007 |
Other
Other | 45th Annual Allerton Conference on Communication, Control, and Computing 2007 |
---|---|
Country/Territory | United States |
City | Monticello |
Period | 9/26/07 → 9/28/07 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computer Networks and Communications