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首页> 外文会议>Broadband Multimedia Systems and Broadcasting, 2009. BMSB '09 >Coverage optimization for DVB-T/H single frequency networks using a PSO algorithm
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Coverage optimization for DVB-T/H single frequency networks using a PSO algorithm

机译：使用PSO算法优化DVB-T / H单频网络的覆盖范围

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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，提出了一种规划工具的实用性和局限性，该规划工具在将传播预测方法和现代启发式技术结合起来用于改善单频网络（SFN）的覆盖范围时得到了应用。传播预测方法使用3D数字地形图以及传播模型来估计SFN打算在其中部署SFN的区域内每个位置上任何SFN发射器的贡献，并根据诸如接收功率之类的参数给出和传播延迟。此外，为了利用OFDM接收机中的多径容限，使用了粒子群优化（PSO）算法来优化SFN内任何发射机的传输参数，包括其扇区天线的发射机延迟或增益。报告并讨论了比较不同PSO方案性能的初步结果，该问题考虑了一个典型问题，即由18个发射机组成的SFN，其中简化了发射机和接收机。此外，还包括分别考虑发射器和接收器侧的扇形天线和定向天线的结果。

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