On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels
Beijing University of Posts and Telecommunications · Southern University of Science and Technology · +2 more institutions
Abstract
Integrated Sensing and Communication (ISAC) is recognized as a promising technology for the next-generation wireless networks, which provides significant performance gains over individual sensing and communications (S&C) systems via the shared use of wireless resources. The characterization of the S&C performance tradeoff is at the core of the theoretical foundation of ISAC. In this paper, we consider a point-to-point (P2P) ISAC model under vector Gaussian channels, and propose to use the Cramér-Rao bound (CRB)-rate region as a basic tool for depicting the fundamental S&C tradeoff. In particular, we consider the scenario where a unified ISAC waveform is emitted from a dual-functional ISAC transmitter (Tx),…
Citation impact
- FWCI
- 232.68
- Percentile
- 100%
- References
- 52
Authors
6- YXYifeng XiongCorresponding
Beijing University of Posts and Telecommunications, Southern University of Science and Technology
- FLFan Liu
Southern University of Science and Technology
- YCYuanhao Cui
Southern University of Science and Technology
- WYWeijie Yuan
Southern University of Science and Technology
- TXTony Xiao Han
Huawei Technologies (China)
Topics & keywords
- Computer science
- Transmitter
- Wireless
- Context (archaeology)
- Waveform
- Gaussian
- Channel (broadcasting)
- Electronic engineering
Funding
- UOUniversity of Southampton
- UCUniversity College London
- UOUniversity of New South Wales
- UOUniversity of Technology Sydney
- UOUniversity of Wollongong
- NNNational Natural Science Foundation of ChinaAwards: 62101234, 20220815100308002, RCBS20210609103227018
- BUBeijing University of Posts and Telecommunications
- HUHenan University
- BIBeijing Institute of Technology
- SUSouthern University of Science and Technology
- GPGuangdong Provincial Pearl River Talents ProgramAward: 2021QN02X128
- SSShenzhen Science and Technology Innovation ProgramAwards: RCBS20210609103227018, 20220815100308002