Enabling green communication in future generation of cooperative and cognitive wireless systems

在下一代协作和认知无线系统中实现绿色通信

• 批准号: 6045-2011
• 负责人: Bhargava, Vijay
• 金额: $ 6.48万
• 依托单位: University of British Columbia
• 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=568440
• 关键词: Enabling; green; communication; future; generation

Explosive growth in wireless communications market and proliferation of multimedia mobile devices has led to increase in demand for high data rates and ubiquitous coverage. Cognitive radio (CR) and relay based cooperative techniques have been proposed to improve the throughput and coverage of various wireless communication systems. Many of these techniques significantly increase the system complexity and energy consumption. Escalating energy costs and environmental concerns have already created an urgent need for more energy-efficient "green" wireless communications. The main goal of the proposed research is to design energy-efficient algorithms and protocols for cooperative and cognitive networks for future generation of wireless communication systems. We will develop performance metrics and analytical models for optimizing the energy consumption in wireless systems, taking into consideration the power consumed by various parts of wireless communication networks including base stations, relays, terminals and core network. Based on these metrics and analytical models, we will devise techniques that minimize the overall power consumption of the communications systems. We will focus on several important topics that are crucial towards reducing the energy consumption of the cognitive and cooperative networks. These topics include low energy spectrum sensing, energy efficient resource management, energy aware medium access control and routing, and efficient cross layer design. Our research will lead the way towards development of energy-efficient and environment-friendly wireless communication systems. Significant impact on the wireless industry is expected from the research since the energy-efficient communications can greatly reduce the costs incurred by the network operators. The research program will also provide an opportunity for the graduate students to be trained in cutting-edge technology.

无线通信市场的爆炸性增长和多媒体移动设备的激增导致了对高数据速率和泛在覆盖的需求增加。认知无线电(CR)和基于中继的协作技术被提出以提高各种无线通信系统的吞吐量和覆盖范围。这些技术中的许多都显著增加了系统的复杂性和能耗。不断攀升的能源成本和环境问题已经催生了对更节能的“绿色”无线通信的迫切需求。本研究的主要目的是为下一代无线通信系统中的协作网络和认知网络设计节能的算法和协议。 我们将开发性能指标和分析模型，以优化无线系统的能量消耗，考虑到无线通信网络的各个部分，包括基站、中继器、终端和核心网络的功耗。基于这些指标和分析模型，我们将设计出将通信系统的总体功耗降至最低的技术。我们将专注于几个重要的主题，这些主题对于降低认知和协作网络的能量消耗至关重要。这些主题包括低能量频谱感知、节能资源管理、节能媒体访问控制和路由，以及高效的跨层设计。 我们的研究将引领节能环保无线通信系统的发展。由于节能通信可以极大地降低网络运营商的成本，预计该研究将对无线行业产生重大影响。该研究项目还将为研究生提供接受尖端技术培训的机会。