中国科学:信息科学(英文版)2024,Vol.67Issue(12) :97-118.DOI:10.1007/s11432-023-4122-4

Physical layer signal processing for XR communications and systems

Yongpeng WU Mai XU Guangtao ZHAI Wenjun ZHANG
中国科学:信息科学(英文版)2024,Vol.67Issue(12) :97-118.DOI:10.1007/s11432-023-4122-4

Physical layer signal processing for XR communications and systems

Yongpeng WU 1Mai XU 2Guangtao ZHAI 1Wenjun ZHANG1
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作者信息

  • 1. Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
  • 2. Department of Electrical Information Engineering,Beihang University,Beijing 100191,China
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Abstract

The explosive growth of immersive and metaverse services has driven the demand for extended reality(XR)transmissions across wireless networks.XR 360° video,captured by omnidirectional cameras and supported by interactive sensors,often provides users with unique immersive experiences and real-time interactions.However,the ultra-high data rate and ultra-low latency requirements for XR 360° video transmissions present new signal processing challenges for XR communication systems.This paper pro-vides a comprehensive survey of promising physical layer signal processing technologies for XR communica-tions and systems.These include multiple antenna technologies for XR,mmWave/terahertz waves for XR communication,machine-learning-based XR transmission,and resource allocations for XR communications.Additionally,we propose a novel signal processing and transmission framework that fully exploits the space-time-frequency dimensions of virtual reality communications.Finally,we summarize the current technical challenges in signal processing for XR communications and related systems and discuss future trends in XR communications.

Key words

multiple antennas/mmWave/terahertz wave/machine learning/resource allocations/XR

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出版年

2024
中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
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