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The Network Packing Problem in Terrestrial Broadcasting

Author

Listed:
  • Carlo Mannino

    (Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza,” via Buonarroti 12, 00185, Roma, Italy)

  • Fabrizio Rossi

    (Dipartimento di Informatica, Università di L'Aquila, via Vetoio, 67010, Coppito (AQ), Italy)

  • Stefano Smriglio

    (Dipartimento di Informatica, Università di L'Aquila, via Vetoio, 67010, Coppito (AQ), Italy)

Abstract

The introduction of digital terrestrial broadcasting all over Europe requires a complete and challenging replanning of in-place analog systems. However, an abrupt migration of resources (transmitters and frequencies) from analog to digital networks cannot be accomplished because the analog services must be preserved temporarily. Hence, a multiobjective problem arises, in which several networks sharing a common set of resources have to be designed. This problem is referred to as the network packing problem. In Italy, this problem is particularly challenging because of a large number of transmitters, orographical features, and strict requirements imposed by Italian law. In this paper, we report our experience in developing solution methods at the major Italian broadcaster Radiotelevisione Italiana (RAI S.p.A.). We propose a two-stage heuristic. In the first stage, emission powers are assigned to each network separately. In the second stage, frequencies are assigned to all networks so as to minimize the loss from mutual interference. A software tool incorporating our methodology is currently in use at RAI to help discover and select high-quality alternatives for the deployment of digital equipment.

Suggested Citation

  • Carlo Mannino & Fabrizio Rossi & Stefano Smriglio, 2006. "The Network Packing Problem in Terrestrial Broadcasting," Operations Research, INFORMS, vol. 54(4), pages 611-626, August.
    • Handle: RePEc:inm:oropre:v:54:y:2006:i:4:p:611-626
    DOI: 10.1287/opre.1060.0312
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    References listed on IDEAS

    as
    1. Kumar Rajaram & Reza Ahmadi, 2003. "Flow Management to Optimize Retail Profits at Theme Parks," Operations Research, INFORMS, vol. 51(2), pages 175-184, April.
    2. F. Rossi & S. Smriglio & A. Sassano, 2001. "Models and Algorithms for Terrestrial Digital Broadcasting," Annals of Operations Research, Springer, vol. 107(1), pages 267-283, October.
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    Cited by:

    1. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    2. C. Mannino & S. Mattia & A. Sassano, 2011. "Planning wireless networks by shortest path," Computational Optimization and Applications, Springer, vol. 48(3), pages 533-551, April.
    3. Fabio D'Andreagiovanni & Carlo Mannino & Antonio Sassano, 2010. "GUB Covers and Power-Indexed Formulations for Wireless Network Design," DIS Technical Reports 2010-14, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    4. Fabio D'Andreagiovanni & Carlo Mannino & Antonio Sassano, 2009. "A Power-Indexed Formulation for Wireless Network Design," DIS Technical Reports 2009-14, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

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