Name
Abstract | ||
|---|---|---|
In this paper link adaptation for interference alignment (IA) based on imperfect channel state information (CSI) is investigated. We consider a MIMO interference channel where the transmit and receive spaces are determined by IA. We look at maximizing a weighted sum of the average rates provided that a certain set of bit-error-rate and power constraints are satisfied by dynamically adjusting coding, modulation and powers. The problem is quite general and intractable. We resort to some approximations and provide simulations to show the accuracy of the approximations in the regimes with practical interest. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6854789 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
MIMO communication,approximation theory,error statistics,radiofrequency interference,wireless channels,CSI,IA,MIMO interference channel,approximations theory,bit-error-rate,channel state information,imperfect CSIT,link adaptation,power constraints,weighted sum | Link adaptation,Mathematical optimization,Imperfect,Imperfect channel state information,Computer science,Control theory,Algorithm,Coding (social sciences),Modulation,Mimo interference channel,Interference alignment | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.35 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohsen Rezaee | 1 | 34 | 5.42 |
| Mehrdad Taki | 2 | 24 | 4.31 |
| Maxime Guillaud | 3 | 315 | 30.64 |