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

无线通信系统及其无所不在的发展取得重大进展，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。该提案为无线通信领域的研究和HQP培训提供了一个广泛的研究计划。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更高层OSI堆栈的其他特性的影响，如MAC、安全性、网络形成、节点移动性等方面。通过HQP培训，该提案的实施将有助于提高加拿大劳动力的质量，并提高工业界和学术界的研究潜力。拟议的研究成果将提交给该领域的广泛社区。拟议的计划重点关注与4G虚拟化和提供物理层安全相关的突出问题。特别是，我们将研究实际散射环境（由高层建筑、墙壁和障碍物定义）如何影响诸如误码率、服务质量、可用性等无线系统的基本特性。我们的目标是开发新的和创新的分析和数值工具来调查这些系统，这反过来又将在其部署过程中具有重要意义。我们将利用随机图论来解决智能节点的合作问题，了解社会网络是如何形成的，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都非常有用。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衍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，用数学方法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主要集中在分布式和人口密集环境中数据和服务分配的创造性数学建模上。此外，基于这些模型，将制定和研究解决信息吞吐量和能量消耗的新型优化问题。

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.