Resource allocation in LTE networks is known to be an NP-hard problem. In this paper, we address an even more complex scenario: an LTE-based, 2-tier heterogeneous network where D2D mode is supported under the network control. All communications (macrocell, microcell and D2D-based) share the same frequency bands, hence they may interfere. We then determine (i) the network node that should serve each user and (ii) the radio resources to be scheduled for such communication. To this end, we develop an accurate model of the system and apply approximate dynamic programming to solve it. Our algorithms allow us to deal with realistic, large-scale scenarios. In such scenarios, we compare our approach to today's networks where eICIC techniques and proportional fairness scheduling are implemented. Results highlight that our solution increases the system throughput while greatly reducing energy consumption. We also show that D2D mode can effectively support content delivery without significantly harming macrocells or microcells traffic, leading to an increased system capacity. Interestingly, we find that D2D mode can be a low-cost alternative to microcells.

Fast Resource Scheduling in HetNets with D2D Support / Malandrino, Francesco; Casetti, CLAUDIO ETTORE; Chiasserini, Carla Fabiana; LIMANI FAZLIU, Zana. - STAMPA. - (2014), pp. 1536-1544. (Intervento presentato al convegno IEEE INFOCOM 2014 tenutosi a Toronto (Canada) nel April 2014) [10.1109/INFOCOM.2014.6848089].

Fast Resource Scheduling in HetNets with D2D Support

MALANDRINO, FRANCESCO;CASETTI, CLAUDIO ETTORE;CHIASSERINI, Carla Fabiana;LIMANI FAZLIU, ZANA
2014

Abstract

Resource allocation in LTE networks is known to be an NP-hard problem. In this paper, we address an even more complex scenario: an LTE-based, 2-tier heterogeneous network where D2D mode is supported under the network control. All communications (macrocell, microcell and D2D-based) share the same frequency bands, hence they may interfere. We then determine (i) the network node that should serve each user and (ii) the radio resources to be scheduled for such communication. To this end, we develop an accurate model of the system and apply approximate dynamic programming to solve it. Our algorithms allow us to deal with realistic, large-scale scenarios. In such scenarios, we compare our approach to today's networks where eICIC techniques and proportional fairness scheduling are implemented. Results highlight that our solution increases the system throughput while greatly reducing energy consumption. We also show that D2D mode can effectively support content delivery without significantly harming macrocells or microcells traffic, leading to an increased system capacity. Interestingly, we find that D2D mode can be a low-cost alternative to microcells.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2520691
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