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Physical layer signal processing for XR communications and systems

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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.

multiple antennasmmWave/terahertz wavemachine learningresource allocationsXR

Yongpeng WU、Mai XU、Guangtao ZHAI、Wenjun ZHANG

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Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

Department of Electrical Information Engineering,Beihang University,Beijing 100191,China

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
年,卷(期):2024.67(12)