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- W3188366979 abstract "Future wireless networks need to support massive machine type communication (mMTC) where a massive number of devices accesses the network and massive MIMO is a promising enabling technology. Massive access schemes have been studied for co-located massive MIMO arrays. In this paper, we investigate the activity detection in grant-free random access for mMTC in cell-free massive MIMO networks using distributed arrays. Each active device transmits a non-orthogonal pilot sequence to the access points (APs) and the APs send the received signals to a central processing unit (CPU) for joint activity detection. The maximum likelihood device activity detection problem is formulated and algorithms for activity detection in cell-free massive MIMO are provided to solve it. The simulation results show that the macro diversity gain provided by the cell-free architecture improves the activity detection performance compared to co-located architecture when the coverage area is large." @default.
- W3188366979 created "2021-08-16" @default.
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- W3188366979 date "2021-11-01" @default.
- W3188366979 modified "2023-10-01" @default.
- W3188366979 title "Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO" @default.
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- W3188366979 doi "https://doi.org/10.1109/tcomm.2021.3102635" @default.
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