Paper Info
Title
Information-Theoretic Limits of Integrated Sensing and Communication With Correlated Sensing and Channel States for Vehicular Networks
Abstract
In connected vehicular networks, it is vital to have vehicular nodes that are capable of sensing surrounding environments and exchanging messages with each other for automating and coordinating purposes. Towards this end, integrated sensing and communication (ISAC), combining both sensing and communication systems to jointly utilize their resources and pursue mutual benefits, emerges as a new cost-effective solution. In ISAC, the hardware and spectrum co-sharing leads to a fundamental tradeoff between sensing and communication performance, which is not well understood except for very simple cases with the same sensing and channel states, and perfect channel state information at the receiver (CSIR). In this paper, a general point-to-point ISAC model is proposed to account for the scenarios where the sensing state is different from but correlated with the channel state, and the CSIR is not necessarily perfect. For the model considered, the optimal tradeoff is characterized by a capacity-distortion function that quantifies the best communication rate for a given sensing distortion constraint requirement. An iterative algorithm is proposed to compute such tradeoff, and a few non-trivial examples are constructed to demonstrate the benefits of ISAC as compared to the separation-based approach.
Year
DOI
Venue
2022
10.1109/TVT.2022.3179869
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Capacity-distortion tradeoff,connected vehicular networks,correlated sensing and channel states,integrated sensing and communication
Journal
71
Issue
ISSN
Citations 
9
0018-9545
0
PageRank 
References 
Authors
0.34
9
5
Name
Order
Citations
PageRank
Yao Liu100.34
Min Li24920.98
An Liu350046.79
Jianmin Lu400.34
Tony Xiao Han500.34