xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission Ministerio de Economía y Competitividad (España)
Sponsor:
This work has been initially supported by the FP7 CROWD Project under Grant 318115 and later on followed up by the H2020 5G NORMA Project under Grant 671584. The work of V. Mancuso was supported by the Ramon y Cajal Grant from the Spanish Ministry of Economy and Competitiveness under Grant RYC-2014-01335.
Project:
info:eu-repo/grantAgreement/EC/FP7/318115/CROWD info:eu-repo/grantAgreement/EC/H2020/671584/5G NORMA Gobierno de España. RYC-2014-01335
Opportunistic traffic offloading has been proposed to tackle overload problems in cellular networks. However, existing proposals only address device-to-device-based offloading techniques with deadline-based data propagation, and neglect content injection proceOpportunistic traffic offloading has been proposed to tackle overload problems in cellular networks. However, existing proposals only address device-to-device-based offloading techniques with deadline-based data propagation, and neglect content injection procedures. In contrast, we tackle the offloading issue from another perspective: the base station interference coordination problem during content injection. In particular, we focus on dissemination of contents, and aim at the minimization of the total transmission time spent by base stations to inject the contents into the network. We leverage the almost blank subframe technique to keep under control the intercell interference in such a process. We formulate an optimization problem, prove that it is NP-hard and NP-complete, and propose a near-optimal heuristic to solve it. Our algorithm substantially outperforms classical intercell interference approaches, as we evaluate through the simulation of LTE-A networks.[+][-]