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Power Allocation Algorithm for LTE-800 Coverage Optimization and DVB-T Coexistence

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Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2015)

Abstract

Power control in LTE wireless networks is essential for efficient co-channel interference management. Due to the non-convexity of the problem, the the global maximization of the weighted sum rate through power allocation is difficult to achieve. Moreover, the digital switchover and the reallocation of the upper UHF band (790–860 MHz) for LTE-800 cellular networks contribute for the necessity to control the aggregate interference caused to the DVB-T service. This paper develops an algorithm for optimal power allocation for the LTE system, which targets minimization of the adjacent channel interference onto the DVB-T system and capacity/coverage optimization of the LTE-800 macro cells. The algorithm adopts the local d.c. (difference of convex functions) programming approach and constraints the power based on the relevant DVB-T adjacent channel protection ratios (PRs). The simulation results emphasize the significance of the proposed algorithm, revealing substantial performance gains compared with the case of no power control, in terms of capacity per pixel, coverage probability and probability for pixel DVB-T service degradation.

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Acknowledgments

This work was performed within the NATO SfP-984409 project “Optimization and Rational Use of Wireless Communications Bands” (ORCA). The authors would like to thank everyone involved.

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Correspondence to Daniel Denkovski .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Denkovska, M., Denkovski, D., Atanasovski, V., Gavrilovska, L. (2015). Power Allocation Algorithm for LTE-800 Coverage Optimization and DVB-T Coexistence. In: Atanasovski, V., Leon-Garcia, A. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-319-27072-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-27072-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27071-5

  • Online ISBN: 978-3-319-27072-2

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