Study of complexity and performance trade-offs in wireless communication systems

无线通信系统复杂性和性能权衡的研究

• 批准号: 42066-2012
• 负责人: Fortier, Paul
• 金额: $ 1.82万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=568881
• 关键词: Study; complexity; performance; trade; offs

Our research proposal focuses on the trade-offs between implementation complexity and performance in order to optimize overall throughput in wireless communications. We have two applications in mind, namely mobile personal communications and wireless sensor networks. In this proposal, we will look at turbo and low-density parity check codes in combination with optimal and sub-optimal decoders for various modulations. We will use a two-prong approach to evaluate or estimate the best code-decoder-modulation combination given a certain communication scenario. The most straightforward approach is to proceed with a performance study using computer simulations. The constraint will be overall complexity required given a certain channel condition. The performance measure will be bit error rate (BER). Once we have selected the proper schemes, the programs used in the first part of our proposal will be ported in hardware, but care will be taken to make the implementation modular and scalable. Our second approach is a semi-analytical one. We will start with a sample of BER performance data for code-decoder-modulation combinations. We will then choose carefully the cases in between in order to have a good sample. The second step will be to find a way to interpolate performance using the samples that we have in order to find the best code-decoder-modulation combination for a given communications scenario. This project will provide useful results that can be transferred to Canadian industry, helping Canada to be a major player in defining future wireless systems. Personal wireless communication systems are becoming prevalent and it is very important to train HQPs in this area. However, several technological problems still remain to be solved but we believe that this proposal is a major step in solving some of the important ones. The same can be said about wireless sensor networks which, in the context of an underground mine, can be used for personnel/material location, detection of dangerous situations and communications.

我们的研究方案关注于实现复杂性和性能之间的权衡，以优化无线通信的总体吞吐量。我们考虑了两个应用，即移动个人通信和无线传感器网络。在本提案中，我们将结合各种调制的最佳和次最佳解码器来研究Turbo和低密度奇偶校验码。我们将使用双管齐下的方法来评估或估计给定的特定通信场景下的最佳编码-解码器-调制组合。最直接的方法是使用计算机模拟进行性能研究。在给定特定的信道条件的情况下，约束将是所需的总体复杂性。性能指标将是误码率(BER)。一旦我们选择了适当的方案，我们建议的第一部分中使用的程序将被移植到硬件中，但将注意使实现模块化和可扩展。我们的第二种方法是半解析的方法。我们将从编码-解码器-调制组合的误码率性能数据样本开始。然后我们会仔细挑选中间的箱子，以便有一个好的样品。第二步将是找到一种使用我们拥有的样本来内插性能的方法，以便为给定的通信场景找到最佳的编码-解码器-调制组合。该项目将提供有用的成果，可以转移到加拿大的行业，帮助加拿大成为定义未来无线系统的主要参与者。个人无线通信系统正变得越来越普遍，在这一领域培训HQP非常重要。然而，仍有几个技术问题有待解决，但我们认为，这一提议是解决一些重要问题的重要一步。同样的道理也适用于无线传感器网络，在地下矿山的情况下，无线传感器网络可用于人员/物资定位、危险情况探测和通信。