Many-User Multiple Access with Random User Activity: Achievability Bounds and Efficient Schemes
Xiaoqi Liu, Pablo Pascual Cobo, Ramji Venkataramanan

TL;DR
This paper investigates the Gaussian multiple access channel with random user activity, deriving bounds on error probabilities and proposing an efficient CDMA scheme with rigorous performance guarantees, applicable to large-scale user scenarios.
Contribution
It introduces novel achievability bounds and a spatially coupled CDMA scheme with AMP decoding for many-user access with unknown active users.
Findings
Bounds on missed detection, false alarm, and user error probabilities.
Proposed CDMA scheme with spatially coupled signatures and AMP decoding.
Numerical results showing promising error performance across user payloads.
Abstract
We study the Gaussian multiple access channel with random user activity, in the regime where the number of users is proportional to the code length. The receiver may know some statistics about the number of active users, but does not know the exact number nor the identities of the active users. We derive two achievability bounds on the probabilities of missed detection, false alarm, and active user error, and propose an efficient CDMA-type scheme whose performance can be compared against these bounds. The first bound is a finite-length result based on Gaussian random codebooks and maximum-likelihood decoding. The second is an asymptotic bound, established using spatially coupled Gaussian codebooks and approximate message passing (AMP) decoding. These bounds can be used to compute an achievable tradeoff between the active user density and energy-per-bit, for a fixed user payload and…
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Taxonomy
TopicsAge of Information Optimization · IoT and Edge/Fog Computing · Cognitive Functions and Memory
