Interference Alignment via Controlled Perturbations
2013 (English)In: 2013 IEEE Global Communications Conference (GLOBECOM), IEEE , 2013, 3996-4001 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2013. 3996-4001 p.
Controlled perturbation, Convergence speed, Interference alignment, Leakage minimization, Show through, Stochastic optimizations, Sum-rate capacity, Worst-case performance
IdentifiersURN: urn:nbn:se:kth:diva-140212DOI: 10.1109/GLOCOM.2013.6831698ScopusID: 2-s2.0-84904098551ISBN: 978-147991353-4OAI: oai:DiVA.org:kth-140212DiVA: diva2:688859
2013 IEEE Global Communications Conference, GLOBECOM 2013; Atlanta, GA; United States; 9 December 2013 through 13 December 2013
QC 201406022014-01-172014-01-172014-09-11Bibliographically approved