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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=593112
• 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.

我们的研究建议着重于实施复杂性和绩效之间的权衡，以优化无线通信中的整体吞吐量。我们有两个应用程序，即移动个人通信和无线传感器网络。在此提案中，我们将查看涡轮和低密度奇偶校验检查代码，以及用于各种调制的最佳和最佳分解器。我们将使用两项统计的方法来评估或估计给定某种通信方案的最佳代码码头调制组合。最直接的方法是使用计算机模拟进行性能研究。考虑到一定的通道条件，约束将是总的复杂性。性能度量将是位错误率（BER）。一旦我们选择了适当的方案，建议的第一部分中使用的程序将移植在硬件中，但是将注意实现模块化和可扩展性。我们的第二种方法是一种半分析。我们将从一个ber性能数据示例开始，以进行代码 - 编码器调制组合。然后，我们将仔细选择介于两者之间的情况，以便拥有一个好的样本。第二步将是找到一种使用我们拥有的样本来插值性能的方法，以便为给定的通信方案找到最佳的代码码编码组合组合。该项目将提供有用的结果，可以将其转移到加拿大行业，从而帮助加拿大成为定义未来无线系统的主要参与者。个人无线通信系统越来越普遍，在该领域培训HQP非常重要。但是，仍然有几个技术问题有待解决，但我们认为这项提案是解决一些重要问题的重要一步。关于无线传感器网络，在地下矿山的背景下，可以说，可以用于人员/材料位置，检测危险情况和通信。