Name
Abstract | ||
|---|---|---|
We investigate and solve the rate balancing problem in the downlink for a multiuser Multiple-Input- Multiple-Output (MIMO) system. In particular, we adopt a transceiver structure to maximize the worst-case rate of the user while satisfying a total transmit power constraint. Most of the existing solutions either perform user Mean Squared Error (MSE) balancing or streamwise rate balancing, which is suboptimal in the MIMO case. The original rate balancing problem in the downlink is complicated due to the coupled structure of the transmit filters. This optimization problem is here solved in an alternating manner by exploiting weighted MSE uplink/downlink duality with proven convergence to a local optimum. Simulation results are provided to validate the proposed algorithm and demonstrate its performance improvement over unweighted MSE balancing. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SPAWC.2019.8815455 | 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) |
Keywords | Field | DocType |
rate balancing,max-min fairness,MSE duality,tranceiver optimization,multiuser MIMO systems | Max-min fairness,Mathematical optimization,Transmitter power output,Local optimum,Computer science,MIMO,Mean squared error,Optimization problem,Performance improvement,Telecommunications link | Conference |
ISSN | ISBN | Citations |
1948-3244 | 978-1-5386-6529-9 | 1 |
PageRank | References | Authors |
0.35 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imène Ghamnia | 1 | 1 | 1.37 |
| Dirk T. M. Slock | 2 | 801 | 86.45 |
| Yi Yuan-wu | 3 | 456 | 30.09 |