2019 53rd Asilomar Conference on Signals, Systems, and Computers 2019
DOI: 10.1109/ieeeconf44664.2019.9049039
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Grant-Free Massive Random Access With a Massive MIMO Receiver

Abstract: We consider the problem of unsourced random access (U-RA), a grant-free uncoordinated form of random access, in a wireless channel with a massive MIMO base station equipped with a large number M of antennas and a large number of wireless single-antenna devices (users). We consider a block fading channel model where the M -dimensional channel vector of each user remains constant over a coherence block containing L signal dimensions in time-frequency. In the considered setting, the number of potential users Ktot… Show more

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Cited by 47 publications
(37 citation statements)
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“…Compared with the state-of-the-art CB-ML scheme investigated in [9], [10], our scheme has better performance when the number of antennas at the BS is smaller than that of active users. The complexity of our scheme is with the order O 2 Bp M L + KM L and lower than the CB-ML scheme.…”
Section: A Contributionsmentioning
confidence: 90%
See 1 more Smart Citation
“…Compared with the state-of-the-art CB-ML scheme investigated in [9], [10], our scheme has better performance when the number of antennas at the BS is smaller than that of active users. The complexity of our scheme is with the order O 2 Bp M L + KM L and lower than the CB-ML scheme.…”
Section: A Contributionsmentioning
confidence: 90%
“…The BS equipped with multiple antennas adds extra dimensions for the received signal, thus contributing to the signal detection and the access of a massive number of users. In [9], [10], a covariance-based maximum likelihood (CB-ML) scheme is proposed in MIMO massive URA system. The CB-ML scheme also adapts a concatenated coding scheme with the aforementioned tree code as the outer code, of which the inner decoder adapts a non-Bayesian method (i.e., ML detection) based on the covariance of the received signal.…”
Section: Introductionmentioning
confidence: 99%
“…The activity detection probelm in (20) can be considered as a maximum likelihood (ML) detection problem [8,[74][75][76][77][78]. Assuming uncorrelated channel fading across the antennas of the base station, the channel response vector 3.3.…”
Section: Covariance Based Approachmentioning
confidence: 99%
“…On the other hand, many unsourced access schemes avoiding the pilot/data division have also been proposed in particular for the SISO AWGN case [4] or SISO with Rayleigh fading [5]. As for the MIMO setting, a scheme based on compressed sensing has been proposed in [6] and a tensor-based approach [7]. This article focuses on the performance analysis of the latter.…”
Section: A Contextmentioning
confidence: 99%