Matrix Exponential Learning Schemes with Low Informational Exchange

Autor: Li, Wenjie, Assaad, Mohamad

We consider a distributed resource allocation problem in networks where each transmitter-receiver pair aims at maximizing its local utility function by adjusting its action matrix, which belongs to a given feasible set. This problem has been addresse

Externí odkaz: http://arxiv.org/abs/1802.06652

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Distributed stochastic optimization via matrix exponential learning

Autor: Romain Negrel, Luca Sanguinetti, Panayotis Mertikopoulos, E. Veronica Belmega

Publikováno v: IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, 2017, 65 (9), pp.2277-2290. ⟨10.1109/tsp.2017.2656847⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (9), pp.2277-2290. ⟨10.1109/tsp.2017.2656847⟩

In this paper, we investigate a distributed learning scheme for a broad class of stochastic optimization problems and games that arise in signal processing and wireless communications. The proposed algorithm relies on the method of matrix exponential

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a41c70f0be0c93da61a1797f4157646f
https://hal.science/hal-01382285/file/Main_sanguinetti.pdf

Matrix Exponential Learning for Resource Allocation with Low Informational Exchange

Autor: Mohamad Assaad, Maialen Larranaga, Wenjie Li, Ghadir Ayache

Publikováno v: 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018)
19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018), Jun 2018, Kalamata Greece. ⟨10.1109/spawc.2018.8445949⟩
2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Jun 2018, Kalamata, France. pp.1-5, ⟨10.1109/SPAWC.2018.8445949⟩
SPAWC

International audience; We consider a distributed resource allocation problem in a multicarrier multi-user MIMO network where multiple transmitter-receiver links interfere among each other. Each user aims to maximize its own energy efficiency by adju

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bca01d7d5f75e9d481170db7d9669e1b
https://hal.archives-ouvertes.fr/hal-01804897

Matrix Exponential Learning: Distributed Optimization in MIMO systems

Autor: Mertikopoulos, Panayotis, Belmega, Elena Veronica, Moustakas, Aris

Publikováno v: Proceedings of IEEE International Symposium on Information Theory (ISIT)
IEEE International Symposium on Information Theory (ISIT)
IEEE International Symposium on Information Theory (ISIT), Jul 2012, United States. pp.3028--3032

International audience; We analyze the problem of finding the optimal signal covariance matrix for MIMO MAC by using an approach based on "exponential learning", a novel optimization method which applies more generally to (quasi-)convex problems defi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5b7e9149ddcd45e8caf257b8587f90fa
https://hal.science/hal-00741823