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Coverage Optimization for DVB-T/H Single Frequency Networks using a PSO Algorithm

机译:使用PSO算法覆盖DVB-T / H单频网络的优化

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摘要

In this work, the usefulness and limitations of a planning tool that combines a propagation prediction method and a modern heuristic technique when applied to improve the coverage area in single frequency networks (SFN) is presented. The propagation prediction method uses 3D digital terrain maps along with a propagation model to estimate the contribution of any transmitter of the SFN at each location within the region in which the SFN is intended to be deployed, given in terms of parameters such as the received power and propagation delay. Furthermore, a particle swarm optimization (PSO) algorithm is used to optimize the transmission parameters of any of the transmitters within the SFN, including transmitters delay or gain for their sector antennas, in order to exploit the multipath tolerance in OFDM receivers. Preliminary results comparing the performance of different PSO schemes considering as the canonical problem a SFN consisting of eighteen transmitters, in which transmitters and receivers have been simplified, are reported and discussed. Moreover, results considering sector and directive antennas at the transmitter and receiver sides, respectively, are also included.
机译:在这项工作中,呈现了将传播预测方法和现代启发式技术的规划工具的有用性和限制呈现在应用于改善单频网络中的覆盖区域(SFN)时。传播预测方法使用3D数字地形映射以及传播模型来估计在诸如接收的电源的参数方面给出了SFN的区域内的每个位置处的SFN的任何发射机的贡献和传播延迟。此外,使用粒子群优化(PSO)算法来优化SFN内的任何发射机的传输参数,包括用于其扇区天线的发射器延迟或增益,以便利用OFDM接收器中的多径公差。初步结果比较不同PSO方案的性能考虑作为规范问题,包括由十八发射机组成的SFN,其中已经简化了发射器和接收器,并讨论。此外,还包括考虑发送器和接收器侧的扇区和指示天线的结果。

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