Joint Sensing and Communication for Situational Awareness in Wireless THz Systems

Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
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DOI:
10.1109/icc45855.2022.9838764
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发表时间:
2021-11
期刊:
ICC 2022 - IEEE International Conference on Communications
影响因子:
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通讯作者:
Christina Chaccour;W. Saad;Omid Semiari;M. Bennis;P. Popovski
Christina Chaccour;W. Saad;Omid Semiari;M. Bennis;P. Popovski
中科院分区:
其他
文献类型:
--
作者:
Christina Chaccour;W. Saad;Omid Semiari;M. Bennis;P. Popovski

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下一代无线系统正在从单纯的通信系统迅速演变为集成了传感和通信的多模式系统。本文提出了一种在太赫兹(THz)频段实现无线扩展现实(XR)的新型联合感知和通信框架。为了收集丰富的传感信息和更高的视距(LOS)可用性,部署了太赫兹操作的可重构智能表面(RISS)作为基站。利用太赫兹的准光学特性和机会性地利用上行链路通信波形来提取传感参数。这使得可以使用相同的波形、频谱和硬件来进行检测和通信。然后利用THz信道的稀疏性,通过张量分解得到环境感知参数。因此,推导出高分辨率的室内映射,以表征通信的空间可用性和用户的移动性。仿真结果表明,在所提出的框架下,整个系统的分辨率和数据速率是正相关的,从而允许在没有折衷的情况下在这些度量之间进行联合优化。仿真结果还表明,该框架提高了静态系统和移动系统的可靠性。特别是,与仅具有波束跟踪的通信系统相比,在步行速度移动环境中实现了10%的最高可靠性收益。
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 so as to characterize the spatial availability of communications and the mobility of users. Simulation results show that in the proposed framework, the resolution and data rate of the overall system are positively correlated, thus allowing a joint optimization between these metrics with no tradeoffs. Results also show that the proposed framework improves the system reliability in static and mobile systems. In particular, the highest reliability gains of 10% are achieved in a walking speed mobile environment compared to communication only systems with beam tracking.