Name
Title | ||
|---|---|---|
Short-term and long-term diagonalization of correlated MIMO channels with adaptive modulation |
Abstract | ||
|---|---|---|
Theoretical results on MIMO capacity maximization suggest the decoupling of the MIMO channel into independent subchannels with optimum water-filling on these subchannels. Those results inspire the development of real systems that diagonalize the MIMO channel and adaptively control the modulation on each of the resulting subchannels. We study the design of a fully adaptive transmitter, where transmit filtering and adaptive modulation is controlled by short-term as well as long-term channel state information (channel correlation), where the focus is on channels with correlated fading at transmitter and receiver array. To this end, we are motivating the use of long-term channel eigenmodes by capacity-independent considerations. Simulation results confirm the potential of fully adaptive transmit processing. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/PIMRC.2002.1047291 | Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium |
Keywords | Field | DocType |
MIMO systems,adaptive modulation,channel capacity,eigenvalues and eigenfunctions,fading channels,filtering theory,matrix algebra,optimisation,radio transmitters,MIMO capacity maximization,adaptive modulation,adaptive transmitter,channel correlation,channel matrix,channel state information,correlated MIMO channel diagonalization,eigenmodes,transmit filtering | Link adaptation,3G MIMO,Computer science,Control theory,Fading,MIMO,Communication channel,Channel capacity,Precoding,Channel state information | Conference |
Volume | Citations | PageRank |
2 | 2 | 0.47 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mario Kießling | 1 | 54 | 5.46 |
| Ingo Viering | 2 | 356 | 57.93 |
| Markus Reinhardt | 3 | 2 | 0.47 |
| Joachim Speidel | 4 | 381 | 45.01 |