Modelling, Simulation and Optimization of the Next Generation of Wireless Systems

下一代无线系统的建模、仿真和优化

• 批准号: RGPIN-2015-05346
• 负责人: Primak, Serguei
• 金额: $ 1.6万
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=662627
• 关键词: Modelling; Simulation; Optimization; Next; Generation

Significant progress in the development of wireless communication systems and their omnipresence requires consistent update and development of new innovative tools, techniques and models for the advancement, simulation and evaluation of cutting-edge designs. The proposal offers a broad research program tailored to research and HQP training in the field of wireless communications. Particular attention will be paid to the role of Physical Layer (PHY) in new generation (5G) of communications systems and its impact on other characteristics of higher layer OSI stack, such as MAC, security, network formation, node mobility and other aspects. Through HQP training the implementation of this proposal will contribute to increased quality of Canadian work force as well as to research potential of both Industry and Academia. Outcomes of the proposed research will be presented to a broad community in the field.The proposed programs focuses on outstanding issues related to 4G 3) virtualization and 4) providing security on the physical layer. In particular, we would investigate how practical scattering environment, defined by tall buildings, walls, and obstacles affect such fundamental characteristics of wireless systems as bit error rate, quality of service, availability and others. Our goal is to develop novel and innovative analytical and numerical tools for investigation of such systems, which, in turn will be significant in the process of their deployment. We will address cooperation of intelligent nodes by means of stochastic graph theory to understand how social networks are formed, study their stability and ability to provide information delivery. Such knowledge is very useful for understanding and managing future data flows, as well as in a large number of applications such as smart cars, intelligent cities, etc. In order to improve security in existing and prospective wireless systems we will investigate a possibility to apply channel derived random sequences to manipulate system transmission parameters. Our goal is to suggest creative means of utilizing an extra layer of security, mathematically describe it and verify its feasibility in different radio-environments. Investigation of network resources allocation, pursued in this proposal, is focused on a creative mathematical modelling of data and services allocation in a distributed and densely populated environments. Furthermore, based on such models, novel optimization problems, addressing both information throughput and energy consumption will be formulated and investigated.

无线通信系统的发展及其无所不在的重大进展需要不断更新和开发新的创新工具、技术和模型，以推进、模拟和评估尖端设计。 该提案提供了一个广泛的研究计划，专门针对无线通信领域的研究和总部培训。将特别关注物理层（PHY）在新一代（5G）通信系统中的作用及其对高层OSI堆栈其他特性的影响，例如MAC、安全、网络形成、节点移动性等方面。通过总部培训，该提案的实施将有助于提高加拿大劳动力的质量以及工业界和学术界的研究潜力。拟议研究的结果将提交给该领域的广泛社区。拟议计划重点关注与 4G 3) 虚拟化和 4) 在物理层提供安全性相关的突出问题。特别是，我们将研究由高层建筑、墙壁和障碍物定义的实际散射环境如何影响无线系统的基本特性，如误码率、服务质量、可用性等。我们的目标是开发新颖和创新的分析和数值工具来研究此类系统，这反过来将在其部署过程中发挥重要作用。我们将通过随机图论来解决智能节点的协作问题，以了解社交网络是如何形成的，研究其稳定性和提供信息传递的能力。这些知识对于理解和管理未来的数据流以及智能汽车、智能城市等大量应用非常有用。为了提高现有和未来无线系统的安全性，我们将研究应用信道派生随机序列来操纵系统传输参数的可能性。我们的目标是提出利用额外安全层的创造性方法，以数学方式描述它并验证其在不同无线电环境中的可行性。本提案中对网络资源分配的研究重点是在分布式和人口稠密的环境中对数据和服务分配进行创造性的数学建模。此外，基于此类模型，将制定和研究解决信息吞吐量和能耗的新颖优化问题。