Enabling Technologies for Next Generation Green Wireless Networks

快速上升的能源成本和日益严格的环境标准导致了对下一代绿色无线网络的巨大需求，下一代绿色无线网络在应对全球气候变化和促进低温室气体（GHG）发展方面发挥着非常重要的作用。绿色无线网络的作用不仅包括无线产品和服务的节能减排，还包括智能电网等其他行业的低温室气体排放。尽管绿色无线网络的潜在愿景，一些重大的研究挑战仍然有待解决，这些技术的广泛部署成为现实，包括合作和认知通信，网络架构和协议，跨层设计，资源管理。拟议的研究是通过开发和评估新的解决方案，使绿色无线网络更高效，更有效，更可靠，从而使其广泛部署的实际和商业上可行的，以解决这些研究挑战。虽然已经针对传统无线系统研究了协作和认知无线电通信、网络架构和协议、跨层设计和资源管理，但是将这些方法应用于下一代绿色无线网络的开发的工作相对较少。从长远来看，这个项目将有助于技术设计架构，协议和管理策略，在下一代绿色无线网络供电的智能电网。这项工作的研究方法将采用数学建模和计算机模拟来评估所提出的新方案的有效性。拟议的工作将有助于通过下一代及以后的绿色无线网络技术的进步。该项目将培养一批高素质的研究生和本科生人才，以满足加拿大日益增长的绿色无线网络行业的需求。

Rapidly rising energy costs and increasingly rigid environmental standards have led to great demand for next generation green wireless networks, which have a very significant role to play in addressing climate change globally and facilitate low greenhouse gas (GHG) development. The role of green wireless networks includes not only the energy saving and emission reduction in wireless products and services, but also enabling low GHG emissions in other industries, such as smart electric power grid. Despite the potential vision of green wireless networks, several significant research challenges remain to be addressed before widespread deployment of these technologies become practical, including cooperative and cognitive communications, network architectures and protocols, cross-layer designs, and resource management. The proposed research is to address these research challenges by developing and evaluating novel solutions that will make green wireless networks more efficient, effective, and reliable; and thereby make their widespread deployment practical and commercially viable. While cooperative and cognitive radio communications, network architectures and protocols, cross-layer designs, and resource management have been studied for traditional wireless systems, relatively little work has been done to apply these approaches to the development of next generation green wireless networks. In the long term, this project will contribute techniques for designing architectures, protocols, and management strategies in next generation green wireless networks powered by the smart grid. The research methodology of the work will employ mathematical modeling and computer simulations to evaluate the effectiveness of the proposed novel schemes. The proposed work will contribute to the advancement of green wireless networks technologies through the next generation and beyond. The project will prepare a number of highly qualified personnel at the postgraduate and undergraduate level to serve the needs of the growing green wireless networks industry in Canada.