Abstract
We try to extend the current configured-grant (CG) uplink scheme in 5G New Radio (NR) to support massive potential users and study activity detection under this scenario. Characteristics of the continuously varying channel and the multiple repetition scheme are utilized to improve the detection accuracy, which can be an enhancement to existing activity detection algorithms. Numerical results under 3GPP TDL (Tapped Delay Line) fading channel show the superiority of our algorithm. And system-level simulation reveals that enhancements on activity detection can improve reliability and reduce latency.
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