Energy Efficient Wireless Communication Networking

随着宽带多媒体无线通信和信息业务需求的不断增长，无线通信网络的能耗问题已成为人们关注的焦点。大多数现有的节能技术无法应用，因为它们仅限于无线传感器网络，其中传感器的功率和功能有限，数据流量负载非常低，没有（或低）移动性。因此，许多研发计划已经在世界范围内启动，以开发节能（绿色）无线通信和网络技术。提出的研究计划旨在研究宽带多媒体移动通信的能源效率和通信服务质量之间的基本权衡，并开发新的网络解决方案，以更好地平衡能源效率和服务质量。我们将特别关注三个重点：1)根据网络动态进行自适应链路控制，使移动终端能够在活动模式和休眠模式之间切换；2)端到端信息传递，实现高能效的数据流量路由，使能耗最小化，网络寿命最大化；3)网络协作，允许在流量负荷较轻的时候和地点关闭部分基站。并大大扩大了各主动式基站的服务覆盖范围，保证了持续的服务质量。不同的服务质量要求、多媒体通信中的数据流量动态和随机用户移动性为在不影响服务质量的情况下提高能源效率提出了重大的技术挑战。研究成果预计将产生深远的技术和科学影响，为开发更灵活和实用的节能无线网络算法和协议提供深入的理解和指导，并帮助加拿大建立和加强其在绿色无线网络方面的领导地位。该项目将培养大批高素质人才，为他们提供在分布式节能资源配置和网络控制方面的宝贵见解和经验，使他们成为加拿大高科技产业劳动力的专家补充。

With increasing demand for broadband multimedia wireless communication and information services, energy consumption in wireless communication networks has become a major concern. Most existing energy efficient techniques cannot be applied as they are limited for wireless sensor networks, where the sensors have limited power and functionalities with very low data traffic load and no (or low) mobility. As a result, many R&D initiatives have been launched worldwide to develop energy efficient (green) wireless communications and networking technologies. The proposed research program aims to study fundamental tradeoffs between energy efficiency and communication service quality for broadband multimedia mobile communications, and to develop new networking solutions for better compromise between energy efficiency and service quality. In particular, we will focus on three thrusts: 1) adaptive link control according to network dynamics, enabling mobile terminals to alternate between active and sleeping modes, 2) end-to-end information delivery, enabling energy efficient data traffic routing to minimize energy consumption and maximize network lifetime, and 3) network cooperation, which will allow some base stations to be turned off when and where traffic loads are light, and greatly expand the service coverage area of each active base station to ensure continuous service quality. Diverse quality-of-service requirements, data traffic dynamics in multimedia communications, and random user mobility pose significant technical challenges to improve energy efficiency without compromising service quality. The research outcomes are expected to have a profound technological and scientific impact, in providing in-depth understanding and guidelines for developing more flexible and practical energy efficient wireless networking algorithms and protocols, and in helping Canada to establish and reinforce its leadership in green wireless networking. This program will train a large pool of highly qualified personnel, providing them with valuable insights and experiences in distributed energy efficient resource allocation and network control, and enabling them to emerge as expert additions to the Canadian high technology industry labor force.