Li Caiwei, Zhang Xiaolin, Li Chen, et al. GA-based optimization of SFN coverage probability for DTMB[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(12): 1633-1638. (in Chinese)
Citation: Li Caiwei, Zhang Xiaolin, Li Chen, et al. GA-based optimization of SFN coverage probability for DTMB[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(12): 1633-1638. (in Chinese)

GA-based optimization of SFN coverage probability for DTMB

  • Received Date: 14 Jan 2013
  • Publish Date: 30 Dec 2013
  • A method to predict single frequency network (SFN) coverage probability for terrestrial digital multimedia broadcasting (DTMB) was presented. It considers actual receiver interference model. The signal summation method is k-LNM. The location probability for coverage cell is calculated by complementary cumulative distribution function (CCDF). It has less calculation and more practical results. SFN causes artificial multi-path. An optimization approach based on genetic algorithm (GA) was proposed, which dealt with the optimal adjustment of internal delays at the transmitters to minimize self-interference area. It doesn-t need to change power, site and antenna of transmitters. The cost is zero. It overcomes the difficulty with manual adjustment of the delays with large numbers of transmitters and has high degree of precision. It was applied to realistic scenarios of DTMB SFN planning in a certain area of China. The coverage probability is greatly improved after optimization, which verifies the effectiveness and feasibility of this method.

     

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