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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=688345
• 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.**

移动Internet流量预计将在十年内增加数千倍，从而在无线景观中产生更高的数据量。此外，用户需要更好的经验，较低的延迟，更高的能源效率和提高的覆盖范围。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，空气界面，双工计划，多访问和资源管理。由于资源限制，服务要求，多个播放器（应用程序，网络，技术）和自动/分布式操作模式，因此此类高级异构无线网络中的无线电资源管理（RRM）很复杂。面对挑战，较高的自由度和许多用例就会有机会为新兴的无线通信系统创新新颖的RRM范式。因此，拟议的研究工作旨在设计和开发具有增强小细胞的异质无线网络的先进和实用的RRM技术，以及新兴5G系统中丰富而多样的机器对机器（M2M）流量。这将提高下一代无线系统的容量和覆盖范围，并以功率和频谱效率提供强大的服务质量提供质量。特别是，将设计，分析和优化以下内容：以许可共享访问模式，共享访问模式，联合访问控制和资源分配以及M2M设备的同时且大量访问，在增强的小单元格中的多型单元格中的多功能整合系统中的干扰管理和时间表中的分配和时间表中的分配和时间表的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元格中的小单元和优化。该研究计划将帮助加拿大的信息和通信技术行业领导，尤其是使无线服务提供商和供应商受益，以支持为客户提供更好，多样化的高质量服务和产品，同时增加系统的容量和覆盖范围。此外，除了集成的异质无线网络内的高速数据通信外，贡献显然还将在智能城市，传感器网络和智能运输系统等领域的某些应用中有用。**