Towards Integrated Communications and Sensing

迈向集成通信和传感

• 批准号: RGPIN-2022-03987
• 负责人: LeNgoc, Tho
• 金额: $ 3.35万
• 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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752165
• 关键词: Towards; Integrated; Communications; Sensing

Integrated Communications and Sensing (ICS) has been recently proposed as the design paradigm and corresponding enabling technologies to combine communications and sensing systems for efficient spectrum utilization and for potential mutual benefits, e.g., sharing common hardware infrastructure, balancing dual-functional performance, performing mutual assistance. We propose a research plan to study and develop efficient ICS transmission and resource allocation techniques applicable to heterogeneous wireless access networks through the notion of cognitive cooperation. Furthermore, efficient use of multiple-antenna techniques among nodes can bring benefits from the collaborative advantages in a distributed manner via massive multiple-input multiple-output (mMIMO), full-duplex (FD) operation. On one hand, it can provide spatial multiplexing required for high-capacity multi-user communications links. On the other hand, it can facilitate super-resolution sensing receiver. FD-mMIMO with simultaneous transmission and reception over the same frequency slot can allow communications and sensing to share not only the spectrum but also the common hardware infrastructure. In particular, we plan to consider a multi-user (MU) FD-mMIMO system using hybrid RF-beamformer/baseband-precoder for ICS. Interference is the major performance-limiting factor and interference mitigation can be more effectively done in a collaborative interference control manner via multiple-objectives optimization. For communications, sum-rate maximization is widely used as an objective function. For sensing, its estimation performance can be represented in different parameters to be jointly optimized with its spectral efficiency. We propose to investigate three inter-related topics: (i) efficient multi-dimensional transmission schemes for ICS, (ii) cooperative hybrid precoding & dynamic resource allocation in ICS networks, and (iii) integrated communication, sensing and localization. Effective MIMO/m-MIMO operation needs fast and accurate channel-state information (CSI) acquisition. We will explore the sensing and learning capabilities to acquire knowledge of the propagation environment and user locations, to derive the CSI with significantly less resources and power than aimless and exhaustive beam sweeping. We will consider the assistance of Intelligent Reflective Surfaces (IRS) in enriching the propagation conditions and scenarios, which can enhance both the communications and sensing performance, as well as the integrated communication, sensing and localization operation. The proposed approach and methodology will involve various aspects, including system modeling and analysis, development of efficient ICS 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 intelligent communications systems.

集成通信和感测（ICS）最近已经被提出作为设计范例和相应的使能技术，以将通信和感测系统联合收割机组合以用于有效的频谱利用和潜在的互利，例如，共享公共硬件基础设施，平衡双功能性能，执行互助。 我们提出了一个研究计划，研究和开发有效的ICS传输和资源分配技术，适用于异构无线接入网络，通过认知合作的概念。此外，在节点之间有效使用多天线技术可以经由大规模多输入多输出（mMIMO）、全双工（FD）操作以分布式方式从协作优势中带来益处。一方面，它可以提供高容量多用户通信链路所需的空间复用。另一方面，它可以促进超分辨率传感接收机。在同一频率时隙上同时发送和接收的FD-mMIMO可以允许通信和感测不仅共享频谱，而且共享公共硬件基础设施。 特别是，我们计划考虑使用混合RF波束形成器/基带预编码器用于ICS的多用户（MU）FD-mMIMO系统。干扰是主要的性能限制因素，并且可以通过多目标优化以协作干扰控制方式更有效地进行干扰减轻。对于通信，和速率最大化被广泛用作目标函数。对于感知，其估计性能可以用不同的参数来表示，以与其频谱效率联合优化。我们建议调查三个相互关联的主题：（i）有效的多维传输方案ICS，（ii）合作的混合预编码和动态资源分配ICS网络，和（iii）集成的通信，传感和定位。有效的MIMO/m-MIMO操作需要快速且准确的信道状态信息（CSI）获取。我们将探索传感和学习能力，以获取传播环境和用户位置的知识，从而获得CSI，其资源和功率比漫无目的和穷举的波束扫描少得多。我们将考虑智能反射表面（IRS）在丰富传播条件和场景方面的帮助，这可以提高通信和传感性能，以及集成的通信，传感和定位操作。 所提出的方法和途径将涉及各个方面，包括系统建模和分析，开发有效的ICS技术，通过分析和仿真进行性能评估，实施所提出的方案。拟议的研究是重要的，应进行，以提高加拿大的竞争地位，提供先进的智能通信系统。