Cognitive and Distributed Signal Processing

认知和分布式信号处理

• 批准号: 228059-2013
• 负责人: Gazor, Saeed
• 金额: $ 2.99万
• 依托单位: Queen's University
• 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=570349
• 关键词: Cognitive; Distributed; Signal; Processing

Traditional network infrastructure incorporates little to no cognition. Cognition-based systems can intelligently and dynamically alter and reconfigure themselves to enhance resource management. They can also learn from past situations, decisions and actions in order to improve future outcomes. The goal of the proposed research program (RP) is to invent and analyze cognitive distributed signal processing technologies that monitor and manage spectral activities and changes in wireless communication networks. This RP will yield solutions in the form of advanced and low-cost algorithms that are the key to next-generation technology. Canada's communication infrastructure holds a significant place in the economy, accounting for 3.2% of total employment and generating over $168 billion in revenue. This RP in the area of management of scarce distributed resources promises to enhance the efficiency of this critical infrastructure. As modern society increasingly relies on mobile connectivity, spectrum demand is increasing. This ever-increasing demand has led to re-evaluation of spectrum utilization and highlighted the necessity for cognitive technologies to gather and act on information about the medium and users to improve network efficiency, save energy, and lower costs. This RP will develop solutions for the problems that arise when distributed elements must make a collective set of decisions and have limited ability to exchange information. Canada's communications industries stand to benefit from the outcomes of this RP as the cognitive paradigm promotes more efficient resource use. Research advances to be achieved by this RP are vital to Canada's economic competitiveness, and their success in increasing efficiency will also have a positive environmental impact. In addition, four PhD, one MSc and five undergraduate students will be trained in leading-edge technology, and as graduates will help to meet growing demand for expertise in this area.

传统的网络基础设施几乎没有认知。基于认知的系统可以智能地、动态地改变和重新配置自己，以增强资源管理。他们还可以从过去的情况、决定和行动中学习，以改善未来的结果。拟议的研究计划（RP）的目标是发明和分析认知分布式信号处理技术，监测和管理无线通信网络中的频谱活动和变化。 这种RP将以先进和低成本算法的形式产生解决方案，这些算法是下一代技术的关键。加拿大的通信基础设施在经济中占有重要地位，占总就业人数的3.2%，创造了超过1680亿加元的收入。在稀缺的分布式资源的管理领域，这RP承诺提高这一关键基础设施的效率。 随着现代社会越来越依赖于移动的连接，频谱需求也在增加。这种不断增长的需求导致了对频谱利用率的重新评估，并强调了认知技术收集有关介质和用户的信息并对其采取行动的必要性，以提高网络效率，节省能源和降低成本。该RP将为分布式元素必须做出一组集体决策并且交换信息的能力有限时出现的问题开发解决方案。 加拿大的通信行业将从这一RP的成果中受益，因为认知范式促进了更有效的资源利用。这一RP所取得的研究进展对加拿大的经济竞争力至关重要，其在提高效率方面的成功也将对环境产生积极的影响。此外，四名博士，一名硕士和五名本科生将接受前沿技术培训，毕业生将有助于满足该领域日益增长的专业知识需求。