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.

我们的研究提案侧重于实现复杂性和性能之间的权衡，以优化无线通信的整体吞吐量。我们考虑两种应用，即移动个人通信和无线传感器网络。在本提案中，我们将研究涡轮和低密度奇偶校验码与各种调制的最佳和次优解码器的结合。我们将使用双管齐下的方法来评估或估计给定特定通信场景的最佳编码-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。该约束将是给定特定信道条件所需的总体复杂性。性能衡量标准是误码率 (BER)。一旦我们选择了合适的方案，我们提案第一部分中使用的程序将被移植到硬件中，但我们将注意使实现模块化和可扩展。我们的第二种方法是半分析方法。我们将从代码-解码器-调制组合的 BER 性能数据样本开始。然后，我们将仔细选择中间的案例，以获得良好的样本。第二步是找到一种使用我们拥有的样本来插值性能的方法，以便为给定的通信场景找到最佳的编码-解码器-调制组合。该项目将提供可转移到加拿大工业界的有用成果，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在变得普遍，在该领域培训总部人员非常重要。然而，仍有一些技术问题有待解决，但我们相信该提案是解决一些重要问题的重要一步。对于无线传感器网络来说也是如此，在地下矿井中，无线传感器网络可用于人员/材料定位、危险情况检测和通信。