Name
Abstract | ||
|---|---|---|
The standardization of the fourth generation of mobile communication systems was mainly driven by the demands for higher data-rates and improved Quality of Service. To reach these goals interference coordination has been identified as a promising research field for better exploitation of the time and frequency resources. This paradigm shift from interference avoidance to interference coordination is also reflected in the ongoing enhancement of the 4th generation of mobile communication systems such as 3GPP Long Term Evolution. In this context, numerous investigations have focused on the allocation of precoding matrices that are part of the link adaptation process by some form of base station (eNB) coordination. Within this work we develop a non-centralized interference coordination scheme by noticing that the re-allocation of a precoding matrix can lead to an uncontrolled change of the interference level at users located in neighboring cells, especially at the edge. To this end, we provide a fully closed form mathematical framework describing these changes. Based on this, we derive a simple metric that improves the precoding matrix selection process in the User Equipment with the result that interference changes can be reduced without having any standard impact. This novel scheme can also be seen as an extension to previous inter-cell interference coordination schemes without the need of base-station cooperation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TCOMM.2013.021913.120305 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Interference,Signal to noise ratio,Correlation,Vectors,Covariance matrix,Standards | Link adaptation,Base station,Computer science,MIMO,Electronic engineering,Interference (wave propagation),User equipment,Zero-forcing precoding,Spatial multiplexing,Precoding | Journal |
Volume | Issue | ISSN |
61 | 5 | 0090-6778 |
Citations | PageRank | References |
1 | 0.37 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Monsees | 1 | 29 | 4.44 |
| Carsten Bockelmann | 2 | 279 | 24.67 |
| Mark Petermann | 3 | 19 | 1.70 |
| Armin Dekorsy | 4 | 513 | 57.91 |
| Stefan Brueck | 5 | 25 | 2.42 |