Resource Management for Massive Connectivity in Future Wireless Networks

未来无线网络中大规模连接的资源管理

• 批准号: RGPIN-2020-07088
• 负责人: Ejaz, Waleed
• 金额: $ 2.4万
• 依托单位: Thompson Rivers University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=718688
• 关键词: Resource; Management; Massive; Connectivity; Future

Wireless networks are expected to provide unlimited connectivity to a growing number of heterogeneous devices. Future wireless networks (beyond fifth-generation (5G)) will accomplish this in 3D space by integrating terrestrial and aerial networks. However, effective resource management in future wireless networks is a challenge because of massive resource-constrained devices, diverse quality-of-service (QoS) requirements, and high density of heterogeneous devices. Traditional resource management schemes are unable to cope with the complexity of these challenges. Despite significant research efforts, a sophisticated technical approach to support massive connectivity through sustainable terrestrial and aerial networks has not yet been developed. The long-term goal of my research program is to develop efficient and low-complexity resource management schemes to tackle the challenges of seamless connectivity of heterogeneous devices anytime and anywhere. The short-term objectives in the next five years are to develop resource management schemes for massive connectivity in future terrestrial networks, aerial networks, and self-sustainable networks (SSNs) while considering different objectives and constraints, including network scalability, reliability, latency, efficiency (spectral usage and energy consumption), and complexity. To achieve short-term objectives, the research program is composed of three themes that will enable impactful training of six graduate (MSc) and six undergraduate Highly Qualified Personnel (HQP). 1. Develop Resource Management Strategies in Future Terrestrial Networks: We will develop predictive and context-aware resource management schemes for massive connectivity of heterogeneous devices in terrestrial networks to deal with varying QoS requirements. 2. Investigate Placement and Resource Management Schemes in Future Aerial Networks: On-demand deployment of aerial base stations can provide dynamic and flexible networks, which leads to more complex interference management and requires holistic resource management. We will investigate low-complexity techniques for the mobile aerial networks to meet changing requirements of dense heterogeneous devices. 3. Enable Proactive Schemes for Self-Sustaining Terrestrial and Aerial Networks: SSNs can intelligently adapt radio parameters and sustain their resource usage and management (by power transfer, exploiting spectrum). We will develop proactive schemes to serve massive heterogeneous devices in terrestrial and aerial SSNs autonomously. The proposed research will advance knowledge in resource management for the massive connectivity of heterogeneous devices and lead to the development of robust networks for practical applications in dynamic settings. Moreover, the proposed research will benefit users with effective connectivity in dense environments. The program will train students with fundamental knowledge and background in research and development in wireless networks.

无线网络有望为越来越多的异构设备提供无限连接。未来的无线网络（超过第五代（5G））将通过整合地面和空中网络在3D空间中实现这一目标。然而，由于大量资源受限的设备、不同的服务质量（QoS）需求和高密度的异构设备，在未来的无线网络中，有效的资源管理是一个挑战。传统的资源管理方案无法应对这些挑战的复杂性。尽管进行了大量的研究工作，但尚未开发出通过可持续的地面和空中网络支持大规模连接的复杂技术方法。