Near-optimal coding for many-user multiple access channels
This paper considers the Gaussian multiple-access channel in the asymptotic regime where
the number of users grows linearly with the code length. We propose efficient coding …
the number of users grows linearly with the code length. We propose efficient coding …
Near-optimal coding for massive multiple access
We study the Gaussian multiple access channel (MAC) in the asymptotic regime where the
number of users grows linearly with the codelength. We analyze coding schemes based on …
number of users grows linearly with the codelength. We analyze coding schemes based on …
Spatially coupled sparse regression codes for single-and multi-user communications
K Hsieh - 2021 - repository.cam.ac.uk
Sparse regression codes (SPARCs) are a class of channel codes for efficient
communication over the single-user additive white Gaussian noise (AWGN) channel at rates …
communication over the single-user additive white Gaussian noise (AWGN) channel at rates …
Capacity per unit-energy of Gaussian random many-access channels
We consider a Gaussian multiple-access channel with random user activity where the total
number of users ℓ n and the average number of active users kn may be unbounded. For this …
number of users ℓ n and the average number of active users kn may be unbounded. For this …
Scaling Laws for Many-Access Channels and Unsourced Random Access
In the emerging Internet of Things, a massive number of devices may connect to one
common receiver. Consequently, models that study this setting are variants of the classical …
common receiver. Consequently, models that study this setting are variants of the classical …