Name
Abstract | ||
|---|---|---|
An efficient regularization approach is proposed for decoding underdetermined multiple input multiple output (MIMO) systems. The main idea is to transform an underdetermined integer least squares problem to an equivalent overdetermined integer least squares problem by using part of the transmit vector to do a regularization. Some strategies are proposed to enhance the efficiency of this approach. Specifically, we discuss how many entries of the transmit vector should be chosen and how to choose them when we do the regularization. An empirical formula for the regularization parameter is presented. Simulation results indicate that this modified approach can be much more efficient than current approaches for any square constellation higher than 4QAM. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1280940.1281015 | IWCMC |
Keywords | DocType | Citations |
main idea,underdetermined integer,empirical formula,underdetermined multiple input,regularization parameter,squares problem,modified approach,efficient regularization approach,multiple output,current approach,underdetermined mimo system decoding,mimo | Conference | 5 |
PageRank | References | Authors |
0.52 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Wen Chang | 1 | 208 | 24.85 |
| Xiaohua Yang | 2 | 5 | 0.52 |