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A Fading Channel Simulator Implementation Based on GPU Computing Techniques

机译：基于GPU计算技术的衰落信道模拟器实现

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Channel simulators are powerful tools that permit performance tests of the individual parts of a wireless communication system. This is relevant when new communication algorithms are tested, because it allows us to determine if they fulfill the communications standard requirements. One of these tests consists of evaluating the system performance when a communication channel is considered. In this sense, it is possible to model the channel as an FIR filter with time-varying random coefficients. If the number of coefficients is increased, then a better approach to real scenarios can be achieved; however, in that case, the computational complexity is increased. In order to address this issue, a design methodology for computing the time-varying coefficients of the fading channel simulators using consumer-designed graphic processing units (GPUs) is proposed. With the use of GPUs and the proposed methodology, it is possible for nonspecialized users in parallel computing to accelerate their simulation developments when compared to conventional software. Implementation results show that the proposed approach allows the easy generation of communication channels while reducing the processing time. Finally, GPU-based implementation takes precedence when compared with the CPU-based implementation, due to the scattered nature of the channel.
机译：通道模拟器是功能强大的工具，可以对无线通信系统的各个部分进行性能测试。在测试新的通信算法时，这很重要，因为它使我们能够确定它们是否满足通信标准要求。这些测试之一包括在考虑通信通道时评估系统性能。从这个意义上讲，可以将信道建模为具有随时间变化的随机系数的FIR滤波器。如果系数的数量增加，则可以实现更好的解决实际情况的方法。但是，在这种情况下，计算复杂度增加。为了解决这个问题，提出了一种使用用户设计的图形处理单元（GPU）计算衰落信道模拟器的时变系数的设计方法。与传统软件相比，通过使用GPU和所提出的方法，并行计算中的非专业用户有可能加速其仿真开发。实施结果表明，所提出的方法允许在减少处理时间的同时容易生成通信信道。最后，由于通道的分散性，与基于CPU的实现相比，基于GPU的实现优先。

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