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

从物联网的角度来看，无线通信需求的不断增长和普及带来了巨大的挑战，在密集的异构无线接入网络中，可能会有数万亿设备充斥着有限的频谱资源和大量的多媒体数据。由于传输媒体和多媒体流量的动态性，可重构和自适应方案受到特别关注。此外，干扰是主要的性能限制因素，通过协调用户之间的传输和资源分配，以协同干扰控制的方式最大限度地减少相互干扰，可以更有效地减少干扰。用户之间在传输和资源分配方面的合作也可以扩展，以获得更广泛的覆盖范围，并减轻信道损害，而无需在发射机上使用大量功率，从而实现系统吞吐量的大幅提高。为了更有效地利用频谱资源，还考虑了通过认知无线电进行动态频谱接入。在异构无线网络中，探索合作与认知的相互作用将变得尤为重要。***我们提出了一项研究计划，研究和开发适用于异构无线接入网络的节能传输和资源分配技术，通过认知合作的概念探索多个维度，以增加系统容量。我们计划解决几个在多节点网络中具有巨大应用潜力的开放问题，包括带宽和节能传输和中继策略，通过认知基于周围环境意识的合作。此外，节点间多天线技术的智能和高效使用可以通过大规模MIMO、全双工操作以分布式方式带来协同优势。特别是，我们将考虑基于适合于分布式结构的合作博弈的自适应资源分配策略，这种策略可以由单个节点或一小群相关节点在协作和从系统上下文和情况中提取相关侧信息的认知/协商中执行。建议的方法和方法论将涉及多个方面：系统建模和分析；发展有效的传输和资源分配技术；分析与仿真的性能评价；建议计划的实施。***拟议的研究意义重大，应该进行，以提高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这项研究在新的操作系统中的最终应用是一个明确的资产。

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.