Advanced wireless communications and signal processing techniques for 6G wireless networks.

适用于 6G 无线网络的先进无线通信和信号处理技术。

• 批准号: RGPIN-2022-03653
• 负责人: Tellambura, Chinthananda
• 金额: $ 3.35万
• 依托单位: University of Alberta
• 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=752286
• 关键词: Advanced; wireless; communications; signal; processing

Since 2019, commercial fifth-generation (5G) mobile networks have been rolled out worldwide and have already reached an enormous scale in some countries. For example, China has deployed over 500 000 5G base stations at the end of 2020, serving more than 100 million 5G subscribers. Since the original rollout of the first generation (1G), a new generation has appeared every one decade. Thus, in a decade, the successor of 5G is 6G wireless. Why is 6G needed? Currently, global wireless traffic is escalating exponentially, up to 5016 EB (exabyte) per month in 2030 compared with 62 EB per month in 2020. Thus, 5G may not fit the tremendous volume of mobile traffic in 2030 and beyond. Thus 2030 and beyond, the 6G system will provide extreme capacity, reliability, efficiency, etc. However, many classical wireless technologies have plateaued their performance and efficiency metrics (e.g., spectral efficiency (SE) and energy efficiency (EE)). This calls for novel system designs to attack these bottlenecks. To this end, it is necessary to optimize complex communication tasks such as energy use, spectrum sharing, multiple access, parameter estimation, resource allocation, and others. Thus, 6G requirements of high reliability, lower latency, and massive connectivity are realizable. Despite the exponential growth of wireless, the available spectrum is limited and cannot sustain the 1000 times expansion in users and devices with high data requirements. Therefore, researchers must improve the SE (the data transfer rate achieved per unit bandwidth). The primary way of enhancing the SE is with cognitive radio, which offers flexible, opportunistic spectrum access. Another way is non-orthogonal multiple access, where multiple users reuse the same spectrum simultaneously. These solutions thus provide higher SE than orthogonal approaches but have a significantly higher signal processing complexity. In the 6G landscape, the unlicensed parts of the new spectrum may suffer from interference by other systems and environmental noises. 6G devices, therefore, must be able to dynamically and cognitively select the best operating band. However, the cost of using these techniques is the high complexity of adaptation and estimation. Thus, this project will exploit concepts/techniques from machine learning techniques (deep learning, reinforcement learning, and others). Therefore, this project aims to develop holistic, integrated solutions involving classical techniques such as multiple-antenna wireless and emerging techniques such as intelligent panels, drones, energy harvesting, etc. By integrating these, research can find synergies and efficiencies. The project will develop new analysis and design methods, algorithms, and applications for beyond-5G and 6G wireless to achieve those gains. The timing is perfect, as the global research efforts into these systems are expanding right now.

自2019年以来，商用第五代(5G)移动网络已在全球铺开，并已在一些国家达到巨大规模。例如，中国在2020年底部署了50多万个5G基站，服务超过1亿5G用户。自第一代(1G)最初推出以来，每十年就会出现一代新人。因此，在十年内，5G的继任者是6G无线。为什么需要6G？目前，全球无线流量呈指数级增长，2030年达到每月5016 EB(艾字节)，而2020年为每月62 EB。因此，5G可能无法适应2030年及以后的巨大移动流量。因此，2030年及以后，6G系统将提供极高的容量、可靠性、效率等。然而，许多经典无线技术的性能和效率指标(例如，频谱效率(SE)和能量效率(EE))已经停滞不前。这就需要新的系统设计来解决这些瓶颈。为此，有必要优化复杂的通信任务，如能量使用、频谱共享、多址接入、参数估计、资源分配等。因此，高可靠性、低延迟和海量连接的6G需求是可以实现的。尽管无线网络呈指数级增长，但可用的频谱有限，无法承受用户和数据要求较高的设备的1000倍增长。因此，研究人员必须提高SE(每单位带宽实现的数据传输速率)。增强SE的主要方法是使用认知无线电，它提供灵活的、机会主义的频谱接入。另一种方式是非正交多址，其中多个用户同时重复使用相同的频谱。因此，这些解决方案提供了比正交方法更高的SE，但具有显著更高的信号处理复杂性。在6G环境中，新频谱中未经许可的部分可能会受到其他系统和环境噪声的干扰。因此，6G设备必须能够动态和认知地选择最佳工作频段。然而，使用这些技术的代价是适应和估计的高度复杂性。因此，这个项目将利用机器学习技术(深度学习、强化学习等)中的概念/技术。因此，该项目旨在开发全面、集成的解决方案，涉及经典技术(如多天线无线)和新兴技术(如智能面板、无人机、能源收集等)。通过整合这些技术，研究可以找到协同效应和效率。该项目将为Beyond-5G和6G无线开发新的分析和设计方法、算法和应用程序，以实现这些收益。时机恰到好处，因为全球对这些系统的研究努力正在扩大。