3 research outputs found

    Urban Area Propagation Path Loss Reduction by Dynamic Differential Evolution Algorithm

    Get PDF
    [[abstract]]In the wireless outdoor communication, the buildings in modern cities to make the outdoor communication more difficult. In this paper, we propose the shooting and bouncing ray/image (SBR/Image) method to compute the path loss for outdoor environments in the commercial area of New Taipei. Three types of antenna arrays such as L shape, Y shape, and circular shape arrays are considered. Moreover, dynamic differential evolution algorithm (DDE) is employed to optimize the excitation voltages and phases for these antenna arrays to reduce the path loss and compare with the genetic algorithm (GA). The GA and DDE optimization is applied to a high order nonlinear optimization problem. By the obtained antenna patterns, we can find the route with the lowest path loss; meanwhile, transmission power using this route in the base station can be reduced. Numerical results show that the performance in reduction of path loss. The DDE algorithm outperforms the GA for proposed antenna arrays. The investigated results can improve design of outdoor communication system.[[conferencetype]]國際[[conferencedate]]20140423~20140425[[conferencelocation]]Taipei, Taiwa

    Path Loss Reduction for Multiusers by Different Antenna Arrays

    Get PDF
    [[abstract]]In this paper, we use the shooting and bouncing ray/image (SBR/Image)[1]-[5] method to compute the path loss for different outdoor environments. Three types of antenna arrays such as L shape, Y shape, and Circular shape arrays are used in the base station and their corresponding path loss on several routes in the outdoor environment are calculated[6]-[8]. Moreover, the genetic algorithm (GA) and Dynamic Differential Evolution (DDE) are employed to optimize the excitation voltages and phases for antenna arrays to form proper antenna patterns[9], [10]. The particle swarm optimization algorithm has better optimization result than genetic algorithm in NLOS case. For antenna arrays Y shape has better optimization result in NLOS case.[[conferencetype]]國際[[conferencedate]]20140714~20140718[[conferencelocation]]Arusha, Tanzani
    corecore