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Scheduling M2M traffic over LTE uplink of a dense small cell network

Melchiorre Danilo Abrignani, Lorenza Giupponi, Andrea Lodi and Roberto Verdone

Article (2018)

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Cite this document: Abrignani, M. D., Giupponi, L., Lodi, A. & Verdone, R. (2018). Scheduling M2M traffic over LTE uplink of a dense small cell network. EURASIP Journal on Wireless Communications and Networking, 2018(1). doi:10.1186/s13638-018-1206-2
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We present an approach to schedule Long Term Evolution (LTE) uplink (UL) Machine-to-Machine (M2M) traffic in a densely deployed heterogeneous network, over the street lights of a big boulevard for smart city applications. The small cells operate with frequency reuse 1, and inter-cell interference (ICI) is a critical issue to manage. We consider a 3rd Generation Partnership Project (3GPP) compliant scenario, where single-carrier frequency-division multiple access (SC-FDMA) is selected as the multiple access scheme, which requires that all resource blocks (RBs) allocated to a single user have to be contiguous in the frequency within each time slot. This adjacency constraint limits the flexibility of the frequency-domain packet scheduling (FDPS) and inter-cell interference coordination (ICIC), when trying to maximize the scheduling objectives, and this makes the problem NP-hard. We aim to solve a multi-objective optimization problem, to maximize the overall throughput, maximize the radio resource usage and minimize the ICI. This can be modelled through a mixed-integer linear programming (MILP) and solved through a heuristic implementable in the standards. We propose two models. The first one allocates resources based on the three optimization criteria, while the second model is more compact and is demonstrated through numerical evaluation in CPLEX, to be equivalent in the complexity, while it performs better and executes faster. We present simulation results in a 3GPP compliant network simulator, implementing the overall protocol stack, which support the effectiveness of our algorithm, for different M2M applications, with respect to the state-of-the-art approaches.

Uncontrolled Keywords

M2M traffic scheduling; LTE uplink; dense small cells network; heterogeneous network; MILP

Open Access document in PolyPublie
Subjects: 2500 Génie électrique et électronique > 2513 Transmission des données
2500 Génie électrique et électronique > 2521 Télécommunications mobiles et personnelles
Department: Département de mathématiques et de génie industriel
Research Center: Non applicable
Funders: Spanish MINECO, Generalitat de Catalunya
Grant number: TEC2017-88373-R, 2017 SGR 1195
Date Deposited: 26 Mar 2020 16:23
Last Modified: 27 Mar 2020 01:20
PolyPublie URL: https://publications.polymtl.ca/3555/
Document issued by the official publisher
Journal Title: EURASIP Journal on Wireless Communications and Networking (vol. 2018, no. 1)
Publisher: Springer
Official URL: https://doi.org/10.1186/s13638-018-1206-2


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