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Soft-GORA: Soft Constrained Globally Optimal Resource Allocation for Critical Links in loT Backhaul Communication

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Soft-GORA: Soft Constrained Globally Optimal Resource Allocation for Critical Links in loT Backhaul Communication

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Iqbal, S.; Abdullah, AH.; Qureshi, KN.; Lloret, J. (2018). Soft-GORA: Soft Constrained Globally Optimal Resource Allocation for Critical Links in loT Backhaul Communication. IEEE Access. 6:614-624. https://doi.org/10.1109/ACCESS.2017.2772867

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148676

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Title: Soft-GORA: Soft Constrained Globally Optimal Resource Allocation for Critical Links in loT Backhaul Communication
Author: Iqbal, Saleem Abdullah, Abdul Hanan Qureshi, Kashif Naseer Lloret, Jaime
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] The Internet of Things gateways with multi-radio facilities in wireless networks can simultaneously communicate using multiple available channels. This feature enhances the carrying capacity of wireless links and thus ...[+]
Subjects: Internet of Things , Multi-hop networks , Channel quality , Channel utilization , Globally optimal , Constraint satisfaction problem , Backtrack searching
Copyrigths: Reserva de todos los derechos
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2017.2772867
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2017.2772867
Project ID:
MOE/VOT RJ130000.7828.4F708
Description: "(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
Thanks:
This work was supported by the Ministry of Education Malaysia (MOE) and conducted in collaboration with the Research Management Center (RMC) at the Universiti Teknologi Malaysia (UTM) under Grant VOT RJ130000.7828.4F708.
Type: Artículo

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