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.

以文融Inforet的观点的需求不断增长和无线通信的无线通信部署构成了潜在的数万亿个设备洪水泛滥的有限频谱资源的挑战，并在密集的异质无线访问网络中拥有大量的多媒体数据。由于传输媒体和多媒体流量的动态性质，重新配置和适应性方案特别感兴趣。此外，干扰是主要限制性能因素，通过协调用户之间的传输和资源分配，可以更有效地进行干扰，以最大程度地减少以协作干扰控制方式最小化相互干扰。传输和资源分配中用户之间的合作也可以扩展以获得更广泛的覆盖范围并减轻通道障碍，而无需在发射器上使用大功能，从而在系统吞吐量中实现了可观的增益。还考虑了通过认知无线电访问动态频谱的访问，以更有效地利用频谱资源。探索合作和认知的交叉施用将是有益的，这在异质无线网络中变得尤为重要。 我们提出了一项研究计划，以研究和开发适用于异质无线访问网络的节能传输和资源分配技术，通过认知合作的概念在探索多个维度以提高系统容量时。我们计划在多节点网络中使用巨大潜力的几个开放问题，包括带宽和节能传输和继电器策略，基于通过认知的周围环境的认识的合作。此外，节点中多种武器技术的智能和有效利用可以通过大型MIMO，全双工操作以分布式的方式从协作优势中带来好处。特别是，我们将考虑基于合作游戏的自适应资源分配策略和情况。所提出的方法和方法将涉及各个方面：系统建模和分析；开发有效的传输和资源分配技术；通过分析和模拟评估绩效；拟议方案的实施。 拟议的研究非常重要，应进行提高加拿大在提供高级通信系统方面的竞争地位。我们的工业联系是最终在新的运营系统中应用的绝对资产。