Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > cs > arXiv:2306.04915

Help | Advanced Search

Computer Science > Information Theory

arXiv:2306.04915 (cs)
[Submitted on 8 Jun 2023 ]

Title: Sensing-based Beamforming Design for Joint Performance Enhancement of RIS-Aided ISAC Systems

Title: 基于感知的波束赋形设计用于增强RIS辅助ISAC系统的联合性能

Authors:Xiaowei Qian, Xiaoling Hu, Chenxi Liu, Mugen Peng, Caijun Zhong
Abstract: Reconfigurable intelligent surface (RIS) has shown its great potential in facilitating device-based integrated sensing and communication (ISAC), where sensing and communication tasks are mostly conducted on different time-frequency resources. While the more challenging scenarios of simultaneous sensing and communication (SSC) have so far drawn little attention. In this paper, we propose a novel RIS-aided ISAC framework where the inherent location information in the received communication signals from a blind-zone user equipment is exploited to enable SSC. We first design a two-phase ISAC transmission protocol. In the first phase, communication and coarse-grained location sensing are performed concurrently by exploiting the very limited channel state information, while in the second phase, by using the coarse-grained sensing information obtained from the first phase, simple-yet-efficient sensing-based beamforming designs are proposed to realize both higher-rate communication and fine-grained location sensing. We demonstrate that our proposed framework can achieve almost the same performance as the communication-only frameworks, while providing up to millimeter-level positioning accuracy. In addition, we show how the communication and sensing performance can be simultaneously boosted through our proposed sensing-based beamforming designs. The results presented in this work provide valuable insights into the design and implementation of other ISAC systems considering SSC.
Abstract: 可重构智能表面(RIS)在促进基于设备的集成感知与通信(ISAC)方面显示出巨大的潜力,其中感知和通信任务主要在不同的时频资源上进行。 尽管同时感知和通信(SSC)的更具挑战性的场景至今受到的关注较少。 在本文中,我们提出了一种新颖的RIS辅助的ISAC框架,其中利用来自盲区用户设备的接收通信信号中的固有位置信息来实现SSC。 我们首先设计了一个两阶段的ISAC传输协议。 在第一阶段,通过利用非常有限的信道状态信息,同时进行通信和粗粒度的位置感知;而在第二阶段,通过使用从第一阶段获得的粗粒度感知信息,提出了简单而高效的基于感知的波束成形设计,以实现更高速率的通信和细粒度的位置感知。 我们证明了所提出的框架可以达到与仅通信框架几乎相同的效果,同时提供高达毫米级的定位精度。 此外,我们展示了如何通过我们提出的基于感知的波束成形设计同时提升通信和感知性能。 本工作呈现的结果为考虑SSC的其他ISAC系统的設計和實現提供了有价值的见解。
Subjects: Information Theory (cs.IT) ; Signal Processing (eess.SP)
Cite as: arXiv:2306.04915 [cs.IT]
  (or arXiv:2306.04915v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2306.04915
arXiv-issued DOI via DataCite

Submission history

From: Xiaoling Hu [view email]
[v1] Thu, 8 Jun 2023 03:27:50 UTC (15,166 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • TeX Source
view license
Current browse context:
eess
< prev   |   next >
new | recent | 2023-06
Change to browse by:
cs
cs.IT
eess.SP
math
math.IT

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号