English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The integrated sensing and communication (ISAC) technique has the potentialto achieve coordination gain by exploiting the mutual assistance betweensensing and communication (S&C) functions. While the sensing-assistedcommunications (SAC) technology has been extensively studied for high-mobilityscenarios, the communication-assisted sensing (CAS) counterpart remains widelyunexplored. This paper presents a waveform design framework for CAS in 6Gperceptive networks, aiming to attain an optimal sensing quality of service(QoS) at the user after the target's parameters successively ``pass-through''the S$\&$C channels. In particular, a pair of transmission schemes, namely,separated S&C and dual-functional waveform designs, are proposed to optimizethe sensing QoS under the constraints of the rate-distortion and power budget.The first scheme reveals a power allocation trade-off, while the latterpresents a water-filling trade-off. Numerical results demonstrate theeffectiveness of the proposed algorithms, where the dual-functional schemeexhibits approximately 25% performance gain compared to its separated waveformdesign counterpart.

Waveform Design for Communication-Assisted Sensing in 6G Perceptive Networks