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 collaborative sensing of multiple Integrated sensing and communication(ISAC) base stations is one of the important technologies to achieveintelligent transportation. Interference elimination between ISAC base stationsis the prerequisite for realizing collaborative sensing. In this paper, wefocus on the mutual interference elimination problem in collaborative sensingof multiple ISAC base stations that can communicate and radar sensesimultaneously by transmitting ISAC signals. We establish a mutual interferencemodel of multiple ISAC base stations, which consists of communication and radarsensing related interference. Moreover, we propose a joint optimizationalgorithm (JOA) to solve the collaborative precoding problem with total powerconstraint (TPC) and perantenna power constraint (PPC). The optimal precodingdesign can be obtained by using JOA to set appropriate tradeoff coefficientbetween sensing and communication performance. The proposed collaborativeprecoding design algorithm is evaluated by considering sensing andcommunication performance via numerical results. The complexity of JOA forcollaborative precoding under TPC and PPC is also compared and simulated inthis paper.

Toward Multiple Integrated Sensing and Communication Base Station Systems: Collaborative Precoding Design with Power Constraint