Skip to main content

Advertisement

SpringerLink
Log in

Metaheuristic Channel Assignment in DVB-T Networks in Conformity with Digital Dividend Requirements

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The problem of acquiring harmonized digital dividend in the upper part of the UHF band is considered through modifying the existing DVB-T frequency plans, as derived from the Geneva Agreement in 2006 (GE06). A novel scheme is proposed to modify GE06 plans by providing the requirements in frequency channels and taking into account intra- and inter-country electromagnetic compatibility constraints, provisioning for harmonized spectrum for the digital dividend in a coordinated way. The proposed scheme provides near- optimal frequency plans through metaheuristic methods, namely genetic algorithms, simulated annealing and particle swarm optimization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. ITU. (2006). Final acts of the Regional Radiocommunication Conference for planning of the digital terrestrial broadcasting service in parts of regions 1 and 3, in the frequency bands 174–230 MHz and 470–862 MHz. In RRC-06. Geneva.

  2. Commission of the European Communities: (2005) Communication from the commission to the council, the European parliament, the European economic and social committee and the committee of the regions on accelerating the transition from analogue to digital broadcasting. Belgium, Brussels

    Google Scholar 

  3. Radio Spectrum Policy Group. (2010). Opinion on the Radio Spectrum Policy Programme. RSPG10-330 final.

  4. Radio Spectrum Policy Group. (2007). Opinion on the EU spectrum policy implications of the digital dividend document. RSPG07-161final, RSPG opinion # 7.

  5. Commission of the European Communities: (2009) Facilitating the release of the digital dividend in the European Union. Belgium, Brussels

    Google Scholar 

  6. Electronic Communications Committee. (ECC). Within the European Conference of Postal and Telecommunications Administrations (CEPT). CEPT reports 21, 22, 23, 24, 29, 30, 31, 32, 138, 142, 148.

  7. Electronic Communications Committee (ECC). (2009). ECC decision on harmonised conditions for mobile/fixed communications networks (MFCN) operating in the band 790–862 MHz.

  8. European Commission. (2010). RSPG opinion on the Radio Spectrum Policy Programme. DG INFSO/ B4/RSPG secretariat.

  9. Wang, D., Leung, H., Fattouche, M., & Ghannouchi, F. (2011). Efficient spectrum allocation and time of arrival based localization in cognitive networks. Wireless Personal Communications. doi:10.1007/s11277-011-0365-9.

  10. Jiang, C.-H., & Weng, R.-M. (2011). Access control engine with dynamic priority resource allocation for cognitive radio networks. Wireless Personal Communications. doi:10.1007/s11277-011-0463-8.

  11. Le V., Feng Z., Bourse D., Zhang P. (2009) A cell based dynamic spectrum management scheme with interference mitigation for cognitive networks. Wireless Personal Communications 49: 275–293

    Article  Google Scholar 

  12. Cabral O., Meucci F., Mihovska A., Velez F. J., Prasad N. R., Prasad R. (2011) Integrated common radio resource management with spectrum aggregation over non-contiguous frequency bands. Wireless Personal Communications 59: 499–523

    Article  Google Scholar 

  13. Wen, J.-H., Chiang, C.-H., Hsu, T.-J., & Hung, H.-L. (2011). Resource management techniques for OFDM systems with the presence of inter-carrier interference. Wireless Personal Communications. doi:10.1007/s11277-011-0270-2.

  14. Halunga S. V., Vizireanu D. N. (2010) Performance evaluation for conventional and MMSE multiuser detection algorithms in imperfect reception conditions. Digital Signal Processing 20(1): 166–178

    Article  Google Scholar 

  15. Halunga S. V., Vizireanu D. N., Fratu O. (2010) Imperfect cross-correlation and amplitude balance effects on conventional multiuser decoder with turbo encoding. Digital Signal Processing 20(1): 191–200

    Article  Google Scholar 

  16. Wen J.-H., Chang C.-W., Hung H.-L. (2010) Blind multiuser detection in frequency domain for mc-cdma systems using particle swarm optimization. Wireless Personal Communications 54: 447–466

    Article  Google Scholar 

  17. Abrão T., Oliveira L. D., Ciriaco F., Angélico B. A., Jeszensky P. J. E., Palacio F. J. C. (2010) S/MIMO MC-CDMA heuristic multiuser detectors based on single-objective optimization. Wireless Personal Communications 53: 529–553

    Article  Google Scholar 

  18. Gelonch A., Revés X., Marojevic V., Nasreddine J., Pérez-Romero J., Sallent O. (2010) A real time emulator demonstrating advanced resource management solutions. Wireless Personal Communications 54: 123–136

    Article  Google Scholar 

  19. Michalewicz Z. (1999) Genetic Algorithms + Data Structures = Evolution Programs. Springer, Berlin

    Google Scholar 

  20. Patra S. S. M., Roy K., Banerjee S., Vidyarthi D. P. (2006) Improved genetic algorithm for channel allocation with channel borrowing in mobile computing. IEEE Trans. Mobile Comput. 5(7): 884–892

    Article  Google Scholar 

  21. Lima M. A. C., Araújo A. F. R., César A. C. (2007) Adaptive genetic algorithms for dynamic channel assignment in mobile cellular communication systems. IEEE Trans. Veh. Technol. 56(5): 2685–2696

    Article  Google Scholar 

  22. Khanbary L. M. O., Vidyarthi D. P. (2008) A GA-based effective fault-tolerant model for channel allocation in mobile computing. IEEE Trans. Veh. Technol. 57(3): 1823–1833

    Article  Google Scholar 

  23. Khanbary L. M. O., Vidyarthi D. P. (2009) Reliability-based channel allocation using genetic algorithm in mobile computing. IEEE Trans. Veh. Technol. 58(8): 4248–4256

    Article  Google Scholar 

  24. Fu X., Bourgeois A. G., Fan P., Pan Y. (2006) Using a genetic algorithm approach to solve the dynamic channel-assignment problem. International Journal of Mobile Communications 4(3): 333–353

    Google Scholar 

  25. Chen, J., Olafsson, S., & Gu, X. (2007). A biologically inspired dynamic channel allocation technique in 802.11 WLANs with multiple access points. In Proceedings of PIMRC 2007. Athens.

  26. Kalivarapu V., Foo J.-L., Winer E. (2009) Improving solution characteristics of particle swarm optimization using digital pheromones. Structural and Multidisciplinary Optimization 37(4): 415–427

    Article  Google Scholar 

  27. Wu, X., Sharif, B. S., & Hinton, O. R. (2004). Adaptive channel allocation schemes for wireless PCN: a genetic algorithm approach. In Proceedings of the 10th Asia-Pacific conference on communications and 5th international symposium on multi-dimensional mobile communications, (vol. 1, pp. 76–79). Beijing.

  28. Kim S.-H., Chang K.-N., Kim S. (2000) A channel allocation for cellular mobile radio systems using simulated annealing. Telecommunication Systems 14(1/4): 95–106

    Article  MATH  Google Scholar 

  29. Chen, J., Olafsson, S., & Gu, X. (2008). Observations on using simulated annealing for dynamic channel allocation in 802.11 WLANs. IEEE Vehicular Technology Conference (VTC) (pp. 1801–1805). Marina Bay.

  30. Uddin M. F., AlAzemi H. M. K., Assi C. (2011) Optimal flexible spectrum access in wireless networks with software defined radios. IEEE Transactions on Wireless Communications 10(1): 314–324

    Article  Google Scholar 

  31. Demestichas P. P., Tzifa E. C., Theologou M. E., Anagnostou M. E. (2003) Interference-oriented carrier assignment in wireless communications. IEEE Communications Letters 7(1): 7–9

    Article  Google Scholar 

  32. Sharma N., Anupama K. R. (2011) A novel genetic algorithm for adaptive resource allocation in mimo-ofdm systems with proportional rate constraint. Wireless Personal Communications 61: 113–128

    Article  Google Scholar 

  33. Robinson J., Rahmat-Samii Y. (2004) Particle swarm optimization in electromagnetics. IEEE Transations on Antennas and Propagation 52(2): 397–407

    Article  MathSciNet  Google Scholar 

  34. Pérez, J. R., Basterrechea, J., Morgade, J., Arrinda, A., & Angueira, P. (2009). Optimization of the coverage area for DVB-T single frequency networks using a particle swarm based method. In Proceedings of the 69th IEEE vehicular technology conference (VTC) (pp. 1–5). Barcelona.

  35. Zielinski K., Weitkemper P., Laur R., Kammeyer K.-D. (2009) Optimization of power allocation for interference cancellation with particle swarm optimization. IEEE Transactions on Evolutionary Computation 13(1): 128–150

    Article  Google Scholar 

  36. Zhao Z., Peng Z., Zheng S., Shang J. (2009) Cognitive radio spectrum allocation using evolutionary algorithms. IEEE Transactions on Wireless Communications 8(9): 4421–4425

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wireless and Long Distance Communications Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou, 15780, Athens, Greece

    Terpsichori-Helen N. Velivasaki, Sarantis-Dimitrios J. Kakarakis, Nicolas C. Kapsalis & Christos N. Capsalis

Authors
  1. Terpsichori-Helen N. Velivasaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sarantis-Dimitrios J. Kakarakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nicolas C. Kapsalis
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Christos N. Capsalis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Terpsichori-Helen N. Velivasaki.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Velivasaki, TH.N., Kakarakis, SD.J., Kapsalis, N.C. et al. Metaheuristic Channel Assignment in DVB-T Networks in Conformity with Digital Dividend Requirements. Wireless Pers Commun 70, 709–730 (2013). https://doi.org/10.1007/s11277-012-0716-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-012-0716-1

Keywords

Search

Navigation