3 papers
cs.IT2026
Drift-Resilient Predictive Interference Management: Online Adaptation of an Extreme-Value Predictor
Aamir Mahmood, Fateme Salehi, Nurul Huda Mahmood +1
Predictive interference management supports ultra-reliable low-latency communication (URLLC) by allocating finite-blocklength resources against a high conditional quantile of next-…
eess.SY2025
Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning
Fateme Salehi, Aamir Mahmood, Sarder Fakhrul Abedin +2
6G networks are composed of subnetworks expected to meet ultra-reliable low-latency communication (URLLC) requirements for mission-critical applications such as industrial control…
eess.SY2025
Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory
Fateme Salehi, Aamir Mahmood, Sinem Coleri +1
Ultra-reliable low-latency communications (URLLC) require innovative approaches to modeling channel and interference dynamics, extending beyond traditional average estimates to enc…