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Chirp Index Modulated Pilot-Aided Non-Coherent Activity Detection for Massive Access
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DOI：10.1109/lcomm.2026.3712448.png)
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Abstract
En 中文
Non-coherent activity detection using On-Off Keying (OOK) modulated pilots offers a compellingly low-complexity solution for grant-free random access (GFRA) in massive machine-type communications (mMTC). However, it suffers from high peak-to-average power ratio (PAPR) of pilots and performance loss due to binary quantization. To overcome these limitations, this letter proposes a novel non-coherent activity detection approach leveraging chirp index modulated pilots. A computationally efficient detection algorithm is developed within the generalized approximate message passing (GAMP) framework, which operates directly on the magnitude-only measurements after dechirp and discrete Fourier transform (DFT). Furthermore, we model the non-coherent activity detection as a decoding problem in an equivalent discrete-input continuous-output channel, and derive an information-theoretically optimal degree distribution for designing the chirp index selection matrix. Simulation results show that the proposed pilots achieve lower PAPR than conventional OOK-modulated pilots, and the proposed activity detection scheme exhibits superior detection performance with lower computational cost compared to the state-of-the-art non-coherent detection scheme based on OOK-modulated pilots.
Keywords:
Activity detection
massive machine-type communications (mMTC)
grant-free massive access
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4.4
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