Optimizing Beyond Fifth Generation (B5G) Networks

优化第五代 (B5G) 网络以外的网络

• 批准号: RGPIN-2020-06260
• 负责人: Fadlullah, Zubair
• 金额: $ 2.99万
• 依托单位: University of Western Ontario
• 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=749814
• 关键词: Optimizing; Beyond; Fifth; Generation; B5G

Beyond Fifth Generation (B5G) networks with multi-tier aerial-terrestrial networks (drone cells, relays, and so on) using ultra-dense tiny cells, heterogeneous Radio Access Technologies (RATs) and network slices, based on Network Function Virtualization (NFV) and Software Defined Network (SDN), will confront unique challenges. They will need highly complex network traffic control with highly energy-efficient secure resource allocation to assure high Quality of Service (QoS) expectations of mobile users. The long-term objective of this research is to address these challenges by identifying and developing the key building blocks of a holistic Sixth Generation (6G) network. To achieve this goal, the following short-term objectives are proposed: 1. B5G network traffic control and resource allocation: The development of advanced network traffic control, such as optimal base station deployment and routing to cater to heterogeneous traffic types, along with new interference dynamics modeling and resources (such as Partially Overlapping Channel) assignment in Radio Access Network (RAN) slices, will be sought to alleviate network congestion and enhance QoS (delay, throughput, etc). 2. Joint traffic and computation-aware energy efficiency in B5G network: To mitigate increased carbon footprint and high energy costs due to numerous base stations deployment in B5G tiny cells to maximize QoS, a new trade-off model between energy consumption minimization and spectral resource allocation will be designed and solved by jointly considering circuit power, mobile user traffic load, computation load, and coverage. 3. Joint QoS and security optimization in B5G network: While B5G network traffic control, optimal resource allocation and energy-efficient techniques can enhance service quality, QoS may still degrade due to increasing exposure to cyber-attacks in heterogeneous networks. This research will develop a much-needed agile and integrated QoS-security framework and cross-layer algorithms to explore the interactions between the various, contrasting, QoS and security parameters for RAN slices to optimally solve their complex trade-offs, an untouched problem in the existing 5G literature. Cross-layer algorithms will be developed to optimally solve the mentioned challenges and implemented in a self-developed Software Defined Router (SDR). The technologies developed in this research program are essential if the Canadian telecommunication sector is to become a pioneer in B5G network technology to benefit Canada's connectivity and economy. Also, HQPs (2 Ph.D., 6 MSc, 5 BSc students) will be trained to boost Canada's research capacity. The results of the research program will provide optimal connectivity solutions for the telecommunications sector and various industries, and help develop research collaborations between academia and industry. The research findings will be disseminated in reputed refereed journals and presented at relevant international conferences.

基于网络功能虚拟化（NFV）和软件定义网络（SDN）的具有多层空中-地面网络（无人机小区、中继等）的超密集微小区、异构无线电接入技术（RAT）和网络切片的超第五代（B5 G）网络将面临独特的挑战。他们将需要高度复杂的网络流量控制与高能效的安全资源分配，以确保移动的用户的高服务质量（QoS）的期望。这项研究的长期目标是通过识别和开发整体第六代（6 G）网络的关键构建模块来应对这些挑战。为实现这一目标，提出了以下短期目标：1. B5 G网络流量控制和资源分配：将寻求高级网络流量控制的发展，例如最佳基站部署和路由以满足异构流量类型，沿着新的干扰动态建模和无线电接入网络（RAN）切片中的资源（例如部分重叠信道）分配，以缓解网络拥塞并增强QoS（延迟、吞吐量等）。2. B5 G网络中的联合业务和计算感知能效：为了缓解由于在B5 G微小区中部署大量基站而增加的碳足迹和高能源成本以最大化QoS，将通过联合考虑电路功率、移动的用户业务负载、计算负载和覆盖来设计和解决能耗最小化和频谱资源分配之间的新权衡模型。 3. B5 G网络中的联合QoS和安全优化：虽然B5 G网络流量控制，最佳资源分配和节能技术可以提高服务质量，但由于异构网络中网络攻击的增加，QoS仍可能下降。这项研究将开发一个急需的敏捷和集成的QoS安全框架和跨层算法，以探索RAN切片的各种对比QoS和安全参数之间的相互作用，以最佳地解决其复杂的权衡，这是现有5G文献中未触及的问题。 跨层算法将被开发以最佳地解决上述挑战，并在自主开发的软件定义路由器（SDR）中实现。如果加拿大电信部门要成为B5 G网络技术的先驱，以造福加拿大的连通性和经济，那么这项研究计划中开发的技术至关重要。此外，HQP（2博士，6名理学硕士，5名理学士学生）将接受培训，以提高加拿大的研究能力。该研究计划的成果将为电信部门和各个行业提供最佳的连接解决方案，并有助于发展学术界和工业界之间的研究合作。研究结果将在知名期刊上传播，并在相关国际会议上发表。