EA Jorswieck - Proceedings of the IEEE, 2024 - ieeexplore.ieee.org
The pressure to develop new network architectures and multiple access technologies is driven by increasing demands on network performance, number of devices, network traffic …
Y Zhu, X Yuan, Y Hu, T Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Enabling ultra-reliable and low-latency communication services while providing massive connectivity is one of the major goals to be accomplished in future wireless communication …
To account for the massive uncoordinated random access scenario, which is relevant for the Internet of Things, Polyanskiy et al.(2017) proposed a novel formulation of the multiple …
This paper presents finite-blocklength achievability bounds for the Gaussian multiple access channel (MAC) and random access channel (RAC) under average-error and maximal-power …
NH Mahmood, I Atzeni, EA Jorswieck… - … and Trends® in …, 2023 - nowpublishers.com
Wireless communication has traditionally been designed to connect human users. The main design goal was to maximize the data rate while guaranteeing moderate reliability and …
X Liu, PP Cobo… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
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 …
E Paolini, L Valentini, V Tralli… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
An information-theoretic approach to irregular repetition slotted ALOHA (IRSA) is proposed. In contrast with previous works, in which IRSA analysis is conducted only based on …
J Chen, J Scarlett - Proceedings of the 2025 Annual ACM-SIAM …, 2025 - SIAM
In recent years, the mathematical limits and algorithmic bounds for probabilistic group testing have become increasingly well-understood, with exact asymptotic thresholds now …
In this paper, we are interested in the performance of a variable-length stop-feedback (VLSF) code with m optimal decoding times for the binary-input additive white Gaussian …