Radio Resource Management in Next Generation Wireless Systems: Design, Analysis and Optimization

下一代无线系统中的无线电资源管理：设计、分析和优化

• 批准号: RGPIN-2016-04049
• 负责人: Anpalagan, Alagan
• 金额: $ 2.99万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=644003
• 关键词: Radio; Resource; Management; Next; Generation

Mobile internet traffic is projected to increase thousand-fold within a decade generating much higher data volume per area in wireless landscape. In addition, users demand better quality of experience, lower delay, higher energy efficiency and improved coverage. These pose significant challenges on the next generation (5G) wireless communication system design, including network structure, air interface, duplexing schemes, multiple access and resource management. Radio resource management (RRM) in such advanced heterogeneous wireless networks is complex due to resource constraints, service requirements, multiple players (applications, networks, technologies) and autonomous/distributed mode of operations. With the challenges, higher degrees of freedom and many use cases come opportunity to innovate novel RRM paradigm for the emerging wireless communication system. The proposed research work therefore seeks to design and develop advanced and practical RRM techniques for heterogeneous wireless networks with enhanced small cells and, rich and diverse machine-to-machine (M2M) traffic in emerging 5G systems. This will improve the capacity and coverage of the next generation wireless systems and offer robust quality of service provisioning with power and spectral efficiency. In particular, the following will be designed, analyzed and optimized: dynamic spectrum allocation and sharing in licensed shared access mode, joint access control and resource allocation for concurrent and massive access of M2M devices, interference management and scheduling in multicarrier full-duplex systems in enhanced small cells, time-frequency block allocation and optimization in dense small cells, and resource allocation in cooperative cognitive small cells. This research program will help Canada's information and communication technology industry to lead, and in particular benefit wireless service providers and vendors to support better and diverse high quality service and product offerings for customers while increasing system capacity and coverage. Also, the contribution will be evidently useful in some applications in areas such as smart city, sensor networking and intelligent transportation systems in addition to high speed data communication within the integrated heterogeneous wireless networks.**

预计移动互联网流量将在十年内增加数千倍，在无线领域产生更高的每个区域的数据量。此外，用户还要求更好的体验质量、更低的延迟、更高的能源效率和更好的覆盖范围。这些对下一代（5G）无线通信系统设计提出了重大挑战，包括网络结构、空中接口、双工方案、多址接入和资源管理。由于资源限制、服务要求、多个参与者（应用程序、网络、技术）和自主/分布式操作模式，此类先进异构无线网络中的无线电资源管理（RRM）非常复杂。面对挑战，更高的自由度和许多用例带来了为新兴无线通信系统创新新颖的 RRM 范例的机会。因此，拟议的研究工作旨在为新兴 5G 系统中具有增强型小蜂窝以及丰富多样的机器对机器 (M2M) 流量的异构无线网络设计和开发先进且实用的 RRM 技术。这将提高下一代无线系统的容量和覆盖范围，并通过功率和频谱效率提供强大的服务质量。具体而言，将设计、分析和优化以下内容：授权共享接入模式下的动态频谱分配和共享、M2M设备并发和大规模接入的联合接入控制和资源分配、多载波全双工系统中的干扰管理和调度。增强型小蜂窝、密集小蜂窝中的时频块分配和优化以及协作认知小蜂窝中的资源分配。该研究计划将帮助加拿大的信息和通信技术行业处于领先地位，特别是有利于无线服务提供商和供应商，为客户提供更好、更多样化的高质量服务和产品，同时增加系统容量和覆盖范围。此外，除了集成异构无线网络内的高速数据通信之外，这一贡献对于智能城市、传感器网络和智能交通系统等领域的一些应用显然也很有用。**