"Analysis, Design and Optimization of Wireless MIMO Systems in Multi-User Environments"

“多用户环境中无线 MIMO 系统的分析、设计和优化”

• 批准号: 249697-2012
• 负责人: Loyka, Sergey
• 金额: $ 1.53万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=570693
• 关键词: Analysis; Design; Optimization; Wireless; MIMO

High-speed wireless communication systems/networks constitute an important part of the Canadian industry and economy. Multi-antenna (MIMO) wireless technology was transformed in the past 10 years into a mature area widely recognized for its importance in both academia and industry. The more recent shift of interest in both research & development and applications is from single-user links to various multi-user environments, including relay channel and networks. This project targets the development of new tools (both analytical and numerical) for performance analysis, optimization and design of MIMO systems in multi-user (networked) collaborative environments. It will be based on the fundamental mathematical techniques of probability theory (including stochastic geometry), asymptotic analysis and convex optimization, in addition to the well-established and also recently developed tools of communication and information-theoretic nature. The recent results of MIMO system analysis and optimization will be extended to collaborative multi-user systems (e.g. relaying, cognitive radio) under realistic channel/system models (e.g. including channel correlation, dynamics, estimation uncertainty etc.). This will also include such issues as resource allocation and robustness of the developed solutions/algorithms to perturbations in system/environmental parameters. The powerful analytical and numerical tools of convex optimization (e.g. KKT conditions, Lagrange duality, interior point methods) will be used. It is expected that new insights originating from the analysis/optimization will result in new guidelines to be used in the system design and standard/policy development. New algorithms will provide higher rates (or spectral efficiency) and quality-of-service while being more energy-efficient and robust. A part of research will be dedicated to an assessment of the environmental impacts of ubiquitous wireless systems.

高速无线通信系统/网络是加拿大工业和经济的重要组成部分。在过去的10年里，多天线(MIMO)无线技术已经发展成为一个成熟的领域，其重要性在学术界和工业界都得到了广泛的认可。最近在研发和应用方面的兴趣转移是从单用户链路到各种多用户环境，包括中继信道和网络。该项目的目标是开发新的工具(包括分析和数值工具)，用于多用户(联网)中MIMO系统的性能分析、优化和设计 协作环境。它将基于概率论(包括随机几何)、渐近分析和凸优化等基本数学技术，以及成熟的和最近开发的通信和信息论性质的工具。MIMO系统分析和优化的最新结果将扩展到现实信道/系统模型(例如，包括信道相关性、动力学、估计不确定性等)下的协作多用户系统(例如，中继、认知无线电)。这还将包括资源分配和所开发的解决方案/算法对系统/环境参数扰动的稳健性等问题。有权势的 将使用凸优化的分析和数值工具(例如，KKT条件、拉格朗日对偶、内点方法)。预期分析/优化产生的新见解将导致在系统设计和标准/政策制定中使用新的指导方针。新的算法将提供更高的速率(或频谱效率)和服务质量，同时更加节能和健壮。研究的一部分将致力于评估无处不在的无线系统的环境影响。