Resource Management for Massive Connectivity in Future Wireless Networks

无线网络有望为越来越多的异类设备提供无限连接。未来的无线网络(超越第五代(5G))将通过整合地面和空中网络在3D空间实现这一点。然而，在未来的无线网络中，有效的资源管理是一个挑战，因为海量的资源受限的设备、多样化的服务质量(Qos)要求以及高密度的异类设备。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。我的研究计划的长期目标是开发高效和低复杂性的资源管理方案，以应对随时随地无缝连接不同类型设备的挑战。未来五年的短期目标是为未来地面网络、空中网络和自可持续网络(SSN)中的大规模连接开发资源管理方案，同时考虑不同的目标和限制，包括网络可扩展性、可靠性、延迟、效率(频谱使用和能源消耗)和复杂性。为了实现短期目标，该研究计划由三个主题组成，将有效地培训六名研究生(MSC)和六名本科生高素质人才(HQP)。1.制定未来地面网络中的资源管理策略：我们将为地面网络中异类设备的海量连接开发预测性和上下文感知的资源管理方案，以应对不同的服务质量要求。2.研究未来空中网络中的布局和资源管理方案：按需部署空中基站可以提供动态和灵活的网络，这导致干扰管理更加复杂，需要整体的资源管理。我们将研究移动空中网络的低复杂度技术，以满足不断变化的密集异质设备的需求。3.为自给自足的地面和空中网络启用主动方案：SSN可以智能地适应无线电参数，并维持其资源使用和管理(通过功率转移、利用频谱)。我们将开发主动方案，自主地为地面和空中SSN中的海量异质设备提供服务。拟议的研究将促进针对不同设备的海量连接的资源管理方面的知识，并导致为动态环境中的实际应用开发健壮的网络。此外，拟议的研究将使用户在密集环境中获得有效连接。该计划将培训具有无线网络研究和开发基础知识和背景的学生。

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.