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An algorithm for improved proportional-fair utility for vehicular users

Thi Thuy Nga Nguyen 1 Olivier Brun 1 Balakrishna Prabhu 1
1 LAAS-SARA - Équipe Services et Architectures pour Réseaux Avancés
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : The Proportional Fair (PF) scheduler currently implemented in cellular networks is optimal when the channel conditions are stationary. Using measurements, a recent work shows that the conditions for moving cars can be non stationary and vary along the route. Based on these observations, the authors of [8] devise an algorithm called (PF) 2 S that exploits Signal-to-Noise Ratio (SNR) maps and rate predictions to improve the utility over the standard PF algorithm. We propose an algorithm which gives a better prediction of the future rate allocation and has a better utility compared to both the PF and (PF)2S algorithms. The proposed algorithm employs projected gradient on a relaxed version of the problem to predict the future allocations. Simulation results show that non negligible gains in utility over (PF)2S can be achieved by this algorithm.
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Contributor : Olivier Brun <>
Submitted on : Friday, November 22, 2019 - 5:04:48 PM
Last modification on : Thursday, March 5, 2020 - 2:43:40 PM


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Thi Thuy Nga Nguyen, Olivier Brun, Balakrishna Prabhu. An algorithm for improved proportional-fair utility for vehicular users. The 25th International Conference on Analytical & Stochastic Modelling Techniques & Applications ASMTA-2019, Oct 2019, Moscow, Russia. ⟨hal-02376712⟩



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