• MU-MIMO Uplink Timely Throughp...

*Result*: MU-MIMO Uplink Timely Throughput Maximization for Extended Reality Applications

Title:
MU-MIMO Uplink Timely Throughput Maximization for Extended Reality Applications
Authors:
Bhagavathula, Ravi Sharan, Srinath, Pavan Koteshwar, Rial, Alvaro Valcarce, Lozano, Baltasar-Beferull
Publication Year:
2026
Subject Terms:
Information Theory
Document Type:
*Report* Working Paper
Access URL:
http://arxiv.org/abs/2602.05751
Accession Number:
edsarx.2602.05751
Database:
arXiv

*Further Information*

*In this work, we study the cross-layer timely throughput maximization for extended reality (XR) applications through uplink multi-user MIMO (MU-MIMO) scheduling. Timely scheduling opportunities are characterized by the peak age of information (PAoI)-metric and are incorporated into a network-side optimization problem as constraints modeling user satisfaction. The problem being NP-hard, we resort to a signaling-free, weighted proportional fair-based iterative heuristic algorithm, where the weights are derived with respect to the PAoI metric. Extensive numerical simulation results demonstrate that the proposed algorithm consistently outperforms existing baselines in terms of XR capacity without sacrificing the overall system throughput.
14 pages, single column, 4 figures. This work has been submitted to the IEEE for possible publication*