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Energy-efficient user association in cognitive heterogeneous networks

Autor
Mesodiakaki, A.; Adelantado, F.; Alonso, L.; Verikoukis, C.
Tipus d'activitat
Article en revista
Revista
IEEE communications magazine
Data de publicació
2014-07
Volum
52
Número
7
Pàgina inicial
22
Pàgina final
29
DOI
https://doi.org/10.1109/MCOM.2014.6852079 Obrir en finestra nova
Projecte finançador
(TEC2011-27723-C02-01) Green Efficient Mobile Communications
An early stage training network in enabling technologies for GREEN radio
Repositori
http://hdl.handle.net/2117/24164 Obrir en finestra nova
Resum
Due to the ever increasing data traffic demands, which are directly connected to increased energy consumption, it becomes challenging for operators to achieve capacity enhancement while limiting their electric bill. To that end, exploiting the context awareness of future cognitive networks is expected to play a key role. Next generation cellular networks are about to include a plethora of small cells, with users being able to communicate via multiple bands. Given that small cells are expected to...
Citació
Mesodiakaki, A. [et al.]. Energy-efficient user association in cognitive heterogeneous networks. "IEEE communications magazine", Juliol 2014, vol. 52, núm. 7, p. 22-29.
Paraules clau
Algorithm design and analysis, Bandwidth, Energy consumption, Energy efficiency, Interference, Signal to noise ratio
Grup de recerca
WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils

Participants