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

由于无线用户、设备、应用的持续增长以及对高性能的需求，无线网络的能耗正在急剧增加。因此，无线通信系统和绿色解决方案的融合变得自然和关键。除了环境效益，拥有绿色解决方案的其他动机还包括给运营商带来的经济利益(较低的能源成本)和对用户的实际好处(更长的电池使用时间)。因此，在创建未来的无线网络时，从追求最佳频谱效率转向高效的能量使用是不可或缺的。此外，大规模多天线系统、密集异质网络、云无线电接入网络、M2M(机器对机器)通信和能量采集通信系统等新兴技术将成为未来无线网络(5G网络及更高版本)的一部分。 我的研究活动的总体目标是通过提出创新的绿色解决方案和概念来优化未来无线系统的能源效率。这一目标将通过探索创新的节能传输技术和先进的原创节能资源分配方案来实现。 经过详尽的文献调查，明确了具体的短期目标。首先将通过理论方法解决资源分配问题。将使用数学优化、博弈论、排队论等工具来制定、求解和寻找最优解和性能界限。下一步，将提出使用启发式、集中式或分布式方法的较不复杂的次优和自适应解决方案。将使用分析工具和模拟进行业绩评估。此外，还将探索创新的节能传输技术。 这项研究计划的好处既涉及无线网络的基本学术知识，也涉及行业进步。因此，具有一定的理论和实践意义。 此外，还将在新兴无线技术的能效方面建立专门知识并探索新的问题。特别是，这项研究将为以下问题提供算法解决方案 节能资源配置和绿色传输技术 用于未来的无线网络。这些结果将提供有价值的见解，并更好地了解无线系统的能效。它们将为加拿大无线网络行业和运营商带来巨大利益。该计划还将允许培训几名研究生，以满足几个新兴无线网络领域对高素质人才的行业需求，并加强加拿大无线电信行业的先锋地位。

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.