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Fast and efficient energy-oriented cell assignment in heterogeneous networks

Author
Rubio-Loyola, J.; Aguilar, C.; Díez, L.; Agüero Calvo, Ramón; Gorricho, J.; Serrat, J.
Type of activity
Journal article
Journal
Wireless Networks
Date of publication
2019-06-10
Volume
2019
First page
1
Last page
19
DOI
10.1007/s11276-019-02047-x
Project funding
Dynamic provisioning of connectivity in high density 5G wireless scenarios
NOVEL ENABLERS FOR CLOUD SLICING
Repository
http://hdl.handle.net/2117/134952 Open in new window
URL
http://link.springer.com/article/10.1007/s11276-019-02047-x Open in new window
Abstract
The cell assignment problem is combinatorial, with increased complexity when it is tackled considering resource allocation. This paper models joint cell assignment and resource allocation for cellular heterogeneous networks, and formalizes cell assignment as an optimization problem. Exact algorithms can find optimal solutions to the cell assignment problem, but their execution time increases drastically with realistic network deployments. In turn, heuristics are able to find solutions in reasona...
Citation
Rubio-Loyola, J. [et al.]. Fast and efficient energy-oriented cell assignment in heterogeneous networks. "Wireless Networks", 10 Juny 2019, vol. 2019, p. 1-19.
Keywords
Cell assignment, Cellular networks, Dense networks, Energy efficiency, Heterogeneous networks, Metaheuristic, Resource allocation
Group of research
MAPS - Management, Pricing and Services in Next Generation Networks

Participants