Name
Title | ||
|---|---|---|
Convex Optimization Theory Applied To Joint Beamforming Design In Multicarrier Mimo Channels |
Abstract | ||
|---|---|---|
This paper addresses the joint design of transmit and receive beamvectors for a multicarrier MIMO channel within the general and powerful framework of convex optimization theory. From this perspective, a great span of design criteria can be easily accommodated and efficiently solved even though closed-form expressions may not be available. Among other criteria, we consider the minimization of the average bit error rate (BER) and also of the maximum BER among all carriers for a given signal constellation. We show how to include additional constraints to control the Peak-to-Average Ratio (PAR) in the system design. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICC.2003.1204611 | 2003 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5: NEW FRONTIERS IN TELECOMMUNICATIONS |
Keywords | Field | DocType |
system design,convex programming,control systems,constellation diagram,sinr,convex optimization,mean square error,bit error rate,mimo,frequency,design optimization,signal to interference plus noise ratio | Beamforming,Mathematical optimization,Expression (mathematics),Mimo channel,Computer science,Systems design,Constellation diagram,Minification,Convex optimization,Bit error rate | Conference |
Citations | PageRank | References |
5 | 1.98 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Pérez Palomar | 1 | 2146 | 134.10 |
| John M. Cioffi | 2 | 4076 | 772.00 |
| Miguel Angel Lagunas | 3 | 54 | 13.75 |
| Antonio Pascual-Iserte | 4 | 189 | 27.78 |