Name
Abstract | ||
|---|---|---|
We propose a simple search algorithm to reduce the computational complexity and power consumption for equal gain precoder. Simulation results show that the equal gain precoder with the proposed search algorithm can achieve nearly the same performance as that of the Grassmannian precoder. The proposed search algorithm shows several advantages in practical implementation as will be explained later in this paper. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISCAS.2009.5117840 | ISCAS |
Keywords | Field | DocType |
power consumption,precoding,search problems,computational complexity,search algorithm,mimo communication,mimo equal gain precoding,grassmannian precoder,quantization,matrix decomposition,antennas,mimo,system performance,feedback,gain | Mathematical optimization,Search algorithm,Control theory,Computer science,MIMO,Electronic engineering,Power demand,Grassmannian,Quantization (signal processing),Precoding,Power consumption,Computational complexity theory | Conference |
ISBN | Citations | PageRank |
978-1-4244-3828-0 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shang-ho Tsai | 1 | 188 | 24.44 |
| Pangan Ting | 2 | 374 | 34.33 |
| Cheng-Ming Chen | 3 | 5 | 1.18 |
| Chien-Yu Kao | 4 | 1 | 1.06 |