Due to the ongoing introduction of the second generation of the Digital Video Broadcasting - Terrestrial standard (DVB-T2), television broadcasters that are already active and new broadcasters entering in the business will be required to (re) design their networks. This is generating a new interest for effective and efficient DVB optimization software tools. In this work, we propose a new fast hybrid heuristic for the design of DVB-T2 networks. The heuristic combines a genetic algorithm, adopted to efficiently explore the solution space of power emissions of DVB stations, with a (very) large neighborhood search formulated as a Mixed Integer Programming (MIP) problem solved exactly. Computational tests on realistic instances show that the new hybrid heuristic is able to identify solutions granting much higher user coverage than those identified by a state-of-the-art optimization solver.
A hybrid MIP-Based heuristic for the optimal design of DVB-T2 networks / D'Andreagiovanni, F.; Lakhlef, H.; Nardin, A.. - (2018), pp. 1540-1546. (Intervento presentato al convegno 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 tenutosi a chn nel 2018) [10.1109/SmartWorld.2018.00265].
A hybrid MIP-Based heuristic for the optimal design of DVB-T2 networks
D'Andreagiovanni F.
;
2018
Abstract
Due to the ongoing introduction of the second generation of the Digital Video Broadcasting - Terrestrial standard (DVB-T2), television broadcasters that are already active and new broadcasters entering in the business will be required to (re) design their networks. This is generating a new interest for effective and efficient DVB optimization software tools. In this work, we propose a new fast hybrid heuristic for the design of DVB-T2 networks. The heuristic combines a genetic algorithm, adopted to efficiently explore the solution space of power emissions of DVB stations, with a (very) large neighborhood search formulated as a Mixed Integer Programming (MIP) problem solved exactly. Computational tests on realistic instances show that the new hybrid heuristic is able to identify solutions granting much higher user coverage than those identified by a state-of-the-art optimization solver.| File | Dimensione | Formato | |
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2018_IEEESmartWorld_Hybrid_MIP_DVB-T2_Networks.pdf
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