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

In the upcoming sixth generation (6G) of wireless communication systems,reconfigurable intelligent surfaces~(RISs) are regarded as one of the promisingtechnological enablers, which can provide programmable signal propagation.Therefore, simultaneous radio localization and mapping(SLAM) with RISs appearsas an emerging research direction within the 6G ecosystem. In this paper, wepropose a novel framework of RIS-enabled radio SLAM for wireless operationwithout the intervention of access points (APs). We first design the RIS phaseprofiles leveraging prior information for the user equipment~(UE), such thatthey uniformly illuminate the angular sector where the UE is probabilisticallylocated. Second, we modify the marginal Poisson multi-Bernoulli SLAM filter andestimate the UE state and landmarks, which enables efficient mapping of theradio propagation environment. Third, we derive the theoretical Cram\'er-Raolower bounds on the estimators for the channel parameters and the UE state. Wefinally evaluate the performance of the proposed method under scenarios with alimited number of transmissions, taking into account the channel coherencetime. Our results demonstrate that the RIS enables solving the radio SLAMproblem with zero APs, and that the consideration of the Doppler shiftcontributes to improving the UE speed estimates.

RIS-Enabled and Access-Point-Free Simultaneous Radio Localization and Mapping