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Article overview
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Age-Limited Capacity of Massive MIMO | Bamelak Tadele
; Volodymyr Shyianov
; Faouzi Bellili
; Amine Mezghani
; | Date: |
9 Jul 2020 | Abstract: | In this paper, we investigate the age-limited capacity of the Gaussian many
channel with total $N$ users, out of which a random subset of $K_{a}$ users are
active in any transmission period and a large-scale antenna array at the base
station (BS). Motivated by IoT applications and promises of the massive MIMO
technology, we consider the setting in which both the number of users, $N$, and
the number of antennas at the BS, $M$, are allowed to grow large at a fixed
ratio $zeta = frac{M}{N}$. Assuming perfect channel state information (CSI)
at the receiver, we derive the achievability bound under maximal ratio
combining. As the number of active users, $K_{a}$, increases, the achievable
spectral efficiency is found to increase monotonically to a limit
$log_2left(1+frac{M}{K_{a}}
ight)$. Using the age of information (AoI)
metric, first coined in cite{kaul2011minimizing}, as our measure of data
timeliness/freshness, we investigate the trade-offs between the AoI and
spectral efficiency in the context massive connectivity with large-scale
receiving antenna arrays. Based on our large system analysis, we provide an
accurate characterization of the asymptotic spectral efficiency as a function
of the number of antennas/users, the attempt probability, and the AoI. It is
found that while the spectral efficiency can be made large, the penalty is an
increase in the minimum AoI obtainable. The proposed achievability bound is
further compared against recent massive MIMO-based massive unsourced random
access (URA) schemes. | Source: | arXiv, 2007.5071 | Services: | Forum | Review | PDF | Favorites |
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