Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Christina Chaccour, Walid Saad, Omid Semiari, Mehdi Bennis, Petar, Popovski

TL;DR
This paper introduces a joint sensing and communication framework for THz wireless systems that enhances indoor mapping, reliability, and data rates by leveraging reconfigurable surfaces and tensor decomposition, enabling efficient XR applications.
Contribution
It proposes a novel integrated sensing and communication approach using THz RISs and tensor-based environmental mapping, with no tradeoff between resolution and data rate.
Findings
Improved resolution and data rate are achievable simultaneously.
System reliability increases by up to 10% in mobile environments.
Joint optimization of sensing and communication enhances overall system performance.
Abstract
Next-generation wireless systems are rapidly evolving from communication-only systems to multi-modal systems with integrated sensing and communications. In this paper a novel joint sensing and communication framework is proposed for enabling wireless extended reality (XR) at terahertz (THz) bands. To gather rich sensing information and a higher line-of-sight (LoS) availability, THz-operated reconfigurable intelligent surfaces (RISs) acting as base stations are deployed. The sensing parameters are extracted by leveraging THz's quasi-opticality and opportunistically utilizing uplink communication waveforms. This enables the use of the same waveform, spectrum, and hardware for both sensing and communication purposes. The environmental sensing parameters are then derived by exploiting the sparsity of THz channels via tensor decomposition. Hence, a high-resolution indoor mapping is derived…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Advanced Wireless Communication Technologies · Millimeter-Wave Propagation and Modeling
