Massive Random Access in Massive MIMO via Opportunistic Thresholding
Naseritehrani M, Farahmand S (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2020-June
Conference Proceedings Title: IEEE International Conference on Communications
Event location: Dublin, IRL
ISBN: 9781728150895
DOI: 10.1109/ICC40277.2020.9148925
Abstract
Non-orthogonal codes have been recently applied for massive IoT random access to a massive MIMO base station. Activity detection for this extension of on-off random access channel yields a jointly sparse multiple measurement vector (MMV) problem. However, no one investigated the regime when measurements per antenna are very limited but number of antennas is extremely large. Our contributions towards addressing this problem are as follows. Firstly, motivated by trivial pursuit which performs well with independent sensing matrices, we designate independent small-scale fading across antennas and users as a possible source of sensing matrix de-correlation. Secondly, two novel algorithms are proposed which exploit this partial de-correlation and collect sensing matrix diversity. Thirdly, probability of failure (PoF) for these methods are rigorously derived and corresponding measurement inequalities are presented. Fourthly, extensive simulations are conducted to confirm the superior performance of these methods versus state of the art in the aforementioned regime.
Authors with CRIS profile
Involved external institutions
Iran, Islamic Republic of (IR)How to cite
APA:
Naseritehrani, M., & Farahmand, S. (2020). Massive Random Access in Massive MIMO via Opportunistic Thresholding. In IEEE International Conference on Communications. Dublin, IRL: Institute of Electrical and Electronics Engineers Inc..
MLA:
Naseritehrani, Mohammad, and Shahrokh Farahmand. "Massive Random Access in Massive MIMO via Opportunistic Thresholding." Proceedings of the 2020 IEEE International Conference on Communications, ICC 2020, Dublin, IRL Institute of Electrical and Electronics Engineers Inc., 2020.
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