New Challenges in Wireless Systems

无线系统的新挑战

• 批准号: RGPIN-2020-04188
• 负责人: Rosenberg, Catherine
• 金额: $ 4.66万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=751649
• 关键词: New; Challenges; Wireless; Systems

A next generation of wireless cellular networks always promises dramatic improvements over the current one including higher data rates for users and better Quality of Experience. To achieve these promises, new technologies and techniques are regularly being proposed. Often, they are analyzed in simple settings or under very strong assumptions and hence, the performance gains that are advertised are not always realistic. We have had in the past good success in showing how unrealistic assumptions bias the results of studies on the performance of new technologies. This program focuses on two long-term challenges that are recurrent in all generations but are becoming more critical, namely:(C1) How to provide appropriate QoE to a diverse set of applications? (C2) How to use the spectrum efficiently? These challenges are not new, but they have not been resolved as yet and they have become, to a large extent, even more acute. Regarding (C1), we will mainly focus on latency and fairness. Regarding (C2), we will address it from two standpoints, the first one will be about how advanced Physical Layer (PHY) technologies can help while the second one will focus on higher layers and smart operation. These two challenges are clearly linked: for example, some new applications are critically dependent on latency (e.g., autonomous driving, virtual reality, gaming, or remote surgery) while others are dependent on high rates;  to support all these new applications, the spectrum needs to be used to its fullest and in an efficient way. Clearly, fairness, which is the assurance that users are not discriminated against, based for example on locations, devices, and applications, matters but might affect latency and efficiency.  Hence, the two challenges can be at odds with each other and this needs to be studied. We will adopt an unbiased research approach to propose sound analytical frameworks for practical and realistic systems. The objective is to provide insights and new tools and mechanisms to operate, study, and size cellular systems. We will also provide guidelines on which techniques work well and which ones do not. The outcomes will significantly advance the state of the art on wireless systems and will help Canadian policy-makers make informed decisions, for example for future use of the spectrum. The program will also provide excellent HQP training opportunities. We will train HQP whose knowledge combines wireless cellular systems with analytical skills, Such HQP is essential if Canadian industrial R&D is going to keep pace with the trends in this fast- developing area.

下一代无线蜂窝网络总是承诺比当前网络有巨大的改进，包括为用户提供更高的数据速率和更好的体验质量。为了实现这些承诺，人们经常提出新的技术和工艺。通常，它们是在简单的设置或非常强的假设下进行分析的，因此，所宣传的性能收益并不总是现实的。过去，我们很成功地展示了不切实际的假设是如何影响新技术性能研究结果的。该计划侧重于两个长期挑战，这两个挑战在所有世代中都是反复出现的，但变得越来越重要，即：（C1）如何为各种应用程序提供适当的QoE ？（二）如何有效利用频谱？这些挑战不是新的，但它们尚未得到解决，而且在很大程度上变得更加尖锐。对于（C1），我们将主要关注延迟和公平性。关于（C2），我们将从两个角度来解决它，第一个将是关于先进的物理层（PHY）技术如何提供帮助，而第二个将侧重于更高层和智能操作。这两个挑战显然是有联系的：例如，一些新应用严重依赖延迟（例如，自动驾驶、虚拟现实、游戏或远程手术），而另一些则依赖于高速率；为了支持所有这些新的应用，需要以一种有效的方式充分利用频谱。显然，公平性（即确保用户不受歧视，例如基于位置、设备和应用程序）很重要，但可能会影响延迟和效率。因此，这两个挑战可能是相互矛盾的，这需要研究。我们将采取不偏不倚的研究方法，为实际和现实的系统提出健全的分析框架。目标是提供见解和新的工具和机制来操作，研究和确定细胞系统的大小。我们还将提供指导方针，说明哪些技术工作良好，哪些不工作。研究结果将显著提高无线系统的技术水平，并将帮助加拿大决策者做出明智的决策，例如未来频谱的使用。该项目还将提供优秀的HQP培训机会。我们将培养将无线蜂窝系统的知识与分析技能相结合的HQP，如果加拿大工业研发要跟上这个快速发展领域的趋势，这样的HQP是必不可少的。