Joint Optimization of Communication Latency and Resource Allocation in Cloud Radio Access Networks

Abstract : This paper addresses a constrained resource allocation problem in Cloud Radio Access Networks (C-RAN). This problem consists in determining the best strategies to assign antennas (Remote Radio Head - RRH) demands to available edge data centers (pool of BaseBand Units - BBU) when jointly optimizing communication latency and resource consumption. Telecommunications Service Providers (TSPs) need new algorithms that enable to jointly reduce their OPEX and CAPEX when embracing C-RAN technology. This paper proposes a mathematical model based on an integer linear programming formulation, to optimally solve the constrained resource allocation problem. To scale and handle much larger number of antennas and edge data centers in acceptable times, a faster and more efficient algorithm based on matroid theory is provided. Simulation results show the scalability of our algorithms and quantify the potential benefits of the discussed approaches in the context of C-RAN.
Type de document :
Communication dans un congrès
7th IEEE International Conference on Smart Communications in Network Technologies (SaCoNeT 2018), Oct 2018, EL Oued, Algeria. 2018
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https://hal.archives-ouvertes.fr/hal-01873327
Contributeur : Niezi Mharsi <>
Soumis le : jeudi 13 septembre 2018 - 10:29:16
Dernière modification le : vendredi 14 septembre 2018 - 01:04:03

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  • HAL Id : hal-01873327, version 1

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Niezi Mharsi, Makhlouf Hadji. Joint Optimization of Communication Latency and Resource Allocation in Cloud Radio Access Networks. 7th IEEE International Conference on Smart Communications in Network Technologies (SaCoNeT 2018), Oct 2018, EL Oued, Algeria. 2018. 〈hal-01873327〉

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