Energy-Efficient and Sustainable Approaches toward Greening the Next Generation of Wireless Communication Systems

实现下一代无线通信系统绿色化的节能且可持续的方法

• 批准号: RGPIN-2016-05243
• 负责人: Ajib, Wessam
• 金额: $ 2.99万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=688242
• 关键词: Energy; Efficient; Sustainable; Approaches; toward

Energy consumption of wireless networks is dramatically increasing due to the persistent growth of wireless users, devices, applications and the demand of challenging performance. Hence, the convergence of wireless communication systems and green solutions becomes natural and critical. In addition to the environmental benefits, other motivations for having green solutions include economic benefits to the operators (less energy cost) and practical benefits to the users (longer battery usage). Thus, it is now indispensable to shift from pursuing optimal spectral efficiency to efficient energy usage when creating future wireless networks. Besides, it is accepted that emerging technologies of massive multi-antenna systems, dense heterogeneous networks, cloud radio access networks, M2M (machine to machine) communications and energy harvesting communication systems will be part of future wireless networks (5G networks and beyond).*** *The general objective of my research activities is to optimize the energy efficiency of future wireless systems by proposing innovative green solutions and concepts. This objective will be attained through exploring innovative energy-efficient transmission techniques and advanced original energy-efficient resource allocation schemes for the emerging wireless technologies.*** *After an exhaustive literature survey, specific short-term objectives have been defined. Resource allocation will be first tackled through theoretical approaches. Mathematical optimization, game theory, queuing theory and other tools will be used to formulate, solve and find the optimal solutions and performance bounds. Next, less-complex suboptimal and adaptive solutions using heuristic, centralized or distributed approaches will be proposed. Performance evaluation using analytical tools and simulations will be performed. In addition, innovative energy-efficient transmission techniques will be explored.*** *The benefits of this research program touch both fundamental academic knowledge and industrial advances in wireless networks. Hence, it will contribute theoretical and practical*knowledge and will also establish expertise and explore new issues in the energy efficiency of the emerging wireless technologies. In particular, this research will provide algorithmic solutions for*energy-efficient resource allocation and green transmission techniques*for future wireless networks. These outcomes will give valuable insights and a better understanding of the energy efficiency in wireless systems. They will be of great benefits for the Canadian wireless networks industry and operators. This program will also allow the training of several graduate students to meet the industrial needs for highly qualified people in several emerging areas of wireless networking and strengthen the pioneering position of the Canadian wireless telecommunication industry.**

由于无线用户，设备，应用程序以及对挑战性能的需求的持续增长，无线网络的能源消耗大大增加。因此，无线通信系统和绿色解决方案的收敛变得自然而关键。除了环境利益之外，拥有绿色解决方案的其他动机还包括对操作员的经济利益（能源成本较小）和用户的实际收益（较长的电池使用）。因此，现在从追求最佳光谱效率转变为创建未来无线网络时的有效能源使用是必不可少的。此外，人们认为，大型多端纳系统，密集的异质网络，云无线电访问网络，M2M（机器到机器）通信和能源收集通信系统的新兴技术将成为未来的无线网络（5G网络及以后）的一部分。该目标将通过探索创新的节能传输技术和新兴无线技术的先进原始节能资源分配方案。****经过详尽的文献调查，已经定义了特定的短期目标。资源分配将首先通过理论方法解决。数学优化，游戏理论，排队理论和其他工具将用于制定，解决和找到最佳的解决方案和性能界限。接下来，将提出使用启发式，集中或分布式方法的次优和自适应溶液。将使用分析工具和模拟进行绩效评估。此外，还将探索创新的节能传输技术。因此，它将有助于理论和实用*知识，还将建立专业知识并探索新兴无线技术的能源效率的新问题。特别是，这项研究将为未来的无线网络提供*节能资源分配和绿色传输技术*的算法解决方案。这些结果将提供宝贵的见解，并更好地了解无线系统的能源效率。对于加拿大无线网络行业和运营商来说，它们将带来巨大的好处。该计划还将允许几位研究生的培训满足无线网络新兴领域高素质人员的工业需求，并加强加拿大无线电信行业的开拓地位。**