Optimizing Beyond Fifth Generation (B5G) Networks

超越第五代(B5G)网络将面临独特的挑战，该网络基于网络功能虚拟化(NFV)和软件定义网络(SDN)，采用超高密度微小区、异类无线电接入技术(RAT)和网络切片的多层空中地面网络(无人机小区、中继站等)。他们将需要高度复杂的网络流量控制和高能效的安全资源分配，以确保移动用户的高服务质量(Qos)期望。这项研究的长期目标是通过确定和开发全面的第六代(6G)网络的关键构建块来应对这些挑战。为实现这一目标，提出了以下短期目标： 1.B5G网络流量控制和资源分配：将寻求开发先进的网络流量控制，例如最优基站部署和路由以适应不同的流量类型，以及新的干扰动力学建模和无线接入网络(RAN)切片中的资源(如部分重叠信道)分配，以缓解网络拥塞并提高QOS(延迟、吞吐量等)。 2.B5G网络中联合话务和计算感知的能效：为了缓解在B5G微小区中部署大量基站以最大化服务质量而增加的碳足迹和高昂的能源成本，设计并解决了综合考虑电路功率、移动用户话务负载、计算负载和覆盖范围的能耗最小化和频谱资源分配之间的新的权衡模型。 3.B5G网络中的联合服务质量和安全优化：虽然B5G网络流量控制、资源优化分配和节能技术可以提高服务质量，但由于异质网络中网络攻击的增加，服务质量仍有可能下降。这项研究将开发一个亟需的灵活和集成的Qos安全框架和跨层算法，以探索RAN切片的各种、对比的Qos和安全参数之间的相互作用，以最佳地解决它们的复杂权衡，这在现有的5G文献中是一个未触及的问题。 将开发跨层算法以优化解决上述挑战，并在自行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B5G网络技术的先驱，造福于加拿大的连通性和经济，在这项研究计划中开发的技术是必不可少的。此外，还将对HQP(2名博士、6名硕士、5名理科学生)进行培训，以提高加拿大的研究能力。该研究计划的结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产业界之间的研究合作。研究结果将在著名的参考期刊上传播，并在相关的国际会议上发表。

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.