Cognitive energy-efficient transmission and resource allocation techniques for broadband access systems

从物联网的角度对无线通信的不断增长的需求和普遍的部署提出了挑战，即在密集的异质无线接入网络中，可能会有数万亿台设备向有限的频谱资源发送海量的多媒体数据。由于传输媒体和多媒体业务的动态特性，可重新配置和自适应方案尤其令人感兴趣。此外，干扰是主要的性能限制因素，干扰缓解可以通过协调用户之间的传输和资源分配来更有效地完成，以协作干扰控制的方式最小化相互干扰。还可以扩展用户之间在传输和资源分配方面的合作，以获得更广泛的覆盖并减轻信道损害，而不需要在发射机使用大功率，从而实现系统吞吐量的显著增加。通过认知无线电的动态频谱接入也被认为是为了更有效地利用频谱资源。这将有利于探索合作和认知的交叉滋养，这在异质无线网络中将变得尤为重要。*我们提出了一项研究计划，通过认知协作的概念来研究和开发适用于异类无线接入网络的节能传输和资源分配技术，以探索多个维度来增加系统容量。我们计划解决几个具有在多节点网络中使用的巨大潜力的开放问题，包括带宽和节能传输和中继策略，以及基于认知对周围环境的感知的合作。此外，节点之间智能、高效地使用多天线技术，可以通过大规模MIMO、全双工操作以分布式的方式从协作优势中获益。特别是，我们将考虑适合于分布式结构的基于合作博弈的自适应资源分配策略，该策略可以由单个节点或相关节点的小集群在协作中执行，并在认知/咨询从系统上下文和情境中提取的相关辅助信息时执行。建议的方法和方法将涉及多个方面：系统建模和分析；开发有效的传输和资源分配技术；通过分析和仿真进行性能评估；建议方案的实施。*拟议的研究意义重大，应加强加拿大在提供先进通信系统方面的竞争地位。我们的工业联系对于最终将这项研究应用于新的操作系统是一笔确定的资产。

The growing demand and pervasive deployment of wireless communications with the perspective of Internet-of-things pose the challenge of potentially trillions of devices flooding limited spectrum resources with tremendous amounts of multimedia data in dense heterogeneous wireless access networks. Due to the dynamic nature of both transmission media and multimedia traffic, re-configurable and adaptive schemes are of particular interest. Furthermore, interference is the major performance-limiting factor and interference mitigation can be more effectively done by coordination of the transmission and resource allocation between users to minimize mutual interference in a collaborative interference control manner. Cooperation between users in transmission and resource allocation can also be extended to obtain broader coverage and to mitigate channel impairments without the need to use large power at the transmitter and hence to achieve substantial gain in system throughput. Dynamic spectrum access through cognitive radios has also been considered for more efficient use of spectrum resources. It will be beneficial to explore the cross-fertilization of cooperation and cognition, which will become especially important in heterogeneous wireless networks. ***We propose a research plan to study and develop energy-efficient transmission and resource allocation techniques applicable to heterogeneous wireless access networks through the notion of cognitive cooperation in exploring multiple dimensions to increase system capacity. We plan to address several open questions with vast potential for use in a multi-node network, including bandwidth and energy-efficient transmission and relaying strategies, cooperation based on the awareness of surroundings through cognition. Furthermore, intelligent and efficient use of multiple-antenna techniques among nodes can bring benefits from the collaborative advantages in a distributed manner via massive MIMO, full-duplex operation. In particular, we will consider adaptive resource allocation strategies based on cooperative games suitable for distributed structures, which can be performed by the individual node or a small cluster of related nodes in collaboration and in cognition/consultation of relevant side information extracted from the system context and situation. The proposed approach and methodology will involve various aspects: system modeling and analysis; development of efficient transmission and resource allocation techniques; performance evaluation by analysis and simulation; implementation of proposed schemes. ***The proposed research is significant and should be undertaken to enhance Canada's competitive position in providing advanced communications systems. Our industrial contacts are a definite asset for the eventual application of this research in new operational systems.