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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Integrated sensing and communication (ISAC) unifies sensing andcommunication, and improves the efficiency of the spectrum, energy, andhardware. In this work, we investigate the ISAC beamforming design to maximizethe mutual information between the target response matrix of a point radartarget and the echo signals, while ensuring the data rate requirements of thecommunication users. In order to study the impact of the echo interferencecaused by communication users on sensing performance, we study two scenarios: asingle communication user and multiple communication users. For the case of asingle communication user, we consider three types of echo interference, nointerference, a point interference, and an extended interference. For the caseof multiple communication users, the interference is also an extended one, andfurthermore, each user's communication rate requirement needs to be satisfied.To find the optimal beamforming design in these problems, we provide aclosed-form solution with low complexiy, a semidefinite relaxation (SDR)method, a low-complexity algorithm based on the Majorization-Minimization (MM)method and the successive convex approximation (SCA) method, and an algorithmbased on MM method and SCA method, respectively. Numerical results demonstratethat, compared to the ISAC beamforming schemes based on the Cram\'er-Rao bound(CRB) metric and the beampattern metric, the proposed mutual information metriccan bring better beampattern and root mean square error (RMSE) of angleestimation. Furthermore, our proposed schemes designed based on the mutualinformation metric can suppress the echo interference from the communicationusers effectively.

A Framework for Mutual Information-based MIMO Integrated Sensing and Communication Beamforming Design