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

宽带接入系统的认知节能传输和资源分配技术

• 批准号: RGPIN-2016-05108
• 负责人: LeNgoc, Tho
• 金额: $ 4.74万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=708776
• 关键词: Cognitive; energy; efficient; transmission; resource

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.

物联网视角下无线通信的不断增长的需求和普遍部署提出了在密集异构无线接入网络中潜在的数万亿设备用大量多媒体数据淹没有限频谱资源的挑战。由于传输媒体和多媒体业务的动态性质，可重新配置和自适应方案是特别感兴趣的。此外，干扰是主要的性能限制因素，并且可以通过协调用户之间的传输和资源分配来更有效地进行干扰减轻，以协作干扰控制方式最小化相互干扰。在传输和资源分配中的用户之间的合作也可以被扩展以获得更宽的覆盖范围并减轻信道损伤，而不需要在发射机处使用大功率，从而实现系统吞吐量的实质性增益。通过认知无线电的动态频谱接入也被考虑用于更有效地使用频谱资源。这将是有益的，探索合作和认知的交叉施肥，这将成为异构无线网络中特别重要。 我们提出了一个研究计划，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。我们计划解决几个开放的问题，具有巨大的潜力，用于在多节点网络，包括带宽和节能的传输和中继策略，合作的基础上，通过认知周围的意识。此外，节点之间多天线技术的智能和有效使用可以通过大规模MIMO、全双工操作以分布式方式从协作优势中带来益处。特别是，我们将考虑自适应资源分配策略的基础上合作游戏适合于分布式结构，这可以由单个节点或一个小集群的相关节点的协作和认知/咨询的相关侧信息提取的系统上下文和情况。所提出的方法和方法将涉及各个方面：系统建模和分析;开发高效的传输和资源分配技术;通过分析和模拟进行性能评估;实施拟议的计划。 拟议的研究是重要的，应进行，以提高加拿大的竞争地位，提供先进的通信系统。我们的工业联系是这项研究在新的操作系统中最终应用的明确资产。