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HQP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更高层OSI堆栈的其他特性的影响，例如MAC，安全性，网络形成，节点移动性和其他方面。通过HQP培训，该建议的实施将有助于提高加拿大劳动力的质量以及工业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。拟议的计划侧重于与4G相关的突出问题3）虚拟化和4）提供物理层的安全性。特别是，我们将调查如何实际的散射环境，由高层建筑物，墙壁和障碍物的定义影响无线系统的误码率，服务质量，可用性等基本特性。我们的目标是开发新的和创新的分析和数值工具，用于调查这些系统，这反过来又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合作问题，以了解社交网络是如何形成的，研究它们的稳定性和提供信息传递的能力。这样的知识是非常有用的理解和管理未来的数据流，以及在大量的应用程序，如智能汽车，智能城市等，为了提高现有的和未来的无线系统的安全性，我们将研究一种可能性，应用信道推导的随机序列来操纵系统传输参数。我们的目标是建议创造性的手段，利用一个额外的安全层，数学描述它，并验证其在不同的无线电环境中的可行性。网络资源分配的调查，追求在这个建议，集中在一个创造性的数学建模的数据和服务分配在一个分布式和人口稠密的环境。此外，基于这样的模型，新的优化问题，解决信息吞吐量和能源消耗将制定和研究。

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.