Back to Search
Start Over
Interference Alignment via Controlled Perturbations
- Publication Year :
- 2013
-
Abstract
- In this work, we study the so-called leakage minimization problem, within the context of interference alignment (IA). For that purpose, we propose a novel approach based on controlled perturbations of the leakage function, and show how the latter can be used as a mechanism to control the algorithm's convergence (and thus tradeoff convergence speed for reliability). Although the proposed scheme falls under the broad category of stochastic optimization, we show through simulations that it has a quasi-deterministic convergence that we exploit to improve on the worst case performance of its predecessor, resulting in significantly better sum-rate capacity and average cost function value.<br />QC 20140602<br />METIS
Details
- Database :
- OAIster
- Notes :
- Ghauch, Hadi, Kim, Taejoon, Bengtsson, Mats, Skoglund, Mikael
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1233797636
- Document Type :
- Electronic Resource
- Full Text :
- https://doi.org/10.1109.GLOCOM.2013.6831698