Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO
| Autor: | Ganesan, Unnikrishnan Kunnath, Björnson, Emil, Larsson, Erik G. |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Communications, Vol. 69, No. 11, pp. 7520 - 7530, November 2021 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1109/TCOMM.2021.3102635 |
| Popis: | 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. Comment: 12 pages, 9 figures. Published in IEEE Transactions on Communications, Vol. 69, No. 11, pp. 7520 - 7530, November 2021 |
| Databáze: | arXiv |
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