1. Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO.
- Author
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Ganesan, Unnikrishnan Kunnath, Bjornson, Emil, and Larsson, Erik G.
- Subjects
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NETWORK PC (Computer) , *ALGORITHMS , *SIGNAL processing , *COMPUTER architecture , *CENTRAL processing units , *SENSOR networks - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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