most citedExploiting Device Heterogeneity in Grant-Free Random Access: A Data-Driven Approach

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Sequence Models for Layer-3 Protocol Emulation

Alix Jeannerot, Petko Petkov, Alvaro Valcarce Rial

This article investigates whether Layer-3 radio-protocol behavior can be represented by compact sequence models suitable for deployment inside the RAN. We introduce the RRC sequenc…

cs.IT2024

Joint Constellation Shaping Using Gradient Descent Approach for MU-MIMO Broadcast Channel

Maxime Vaillant, Alix Jeannerot, Jean-Marie Gorce

We introduce a learning-based approach to optimize a joint constellation for a multi-user MIMO broadcast channel ( Tx antennas, users, each with Rx antennas), with perfe…

cs.IT2024

Joint Resource-Power Allocation and UE Rank Selection in Multi-User MIMO Systems with Linear Transceivers

K. Pavan Srinath, Alix Jeannerot, Alvaro Valcarce Rial

Next-generation wireless networks aim to deliver data speeds much faster than 5G. This requires base stations with lots of antennas and a large operating bandwidth. These advanced…

cs.IT2024

Joint Slot and Power Optimization for Grant Free Random Access with Unknown and Heterogeneous Device Activity

Alix Jeannerot, Malcolm Egan, Jean-Marie Gorce

Grant Free Random Access (GFRA) is a popular protocol in the Internet of Things (IoT) to reduce the control signaling. GFRA is a framed protocol where each frame is split into two…

cs.IT2024★ 1 cited

Exploiting Device Heterogeneity in Grant-Free Random Access: A Data-Driven Approach

Alix Jeannerot, Malcolm Egan, Jean-Marie Gorce

Grant-free random access (GFRA) is now a popular protocol for large-scale wireless multiple access systems in order to reduce control signaling. Resource allocation in GFRA can be…