most citedQuantifying the Energy-Saving and QoS Trade-Off in Traffic Offloading for Real 4G/5G Scenarios

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI20261 cited

Policy-Guided ML for Energy Savings: Cell On/Off Switching under Operator QoS Constraints in Real 5G Networks

D. Reiss, M. Catalan-Cid, D. Camps-Mur +1

Energy efficiency is a critical concern in the deployment and operation of 5G networks, particularly due to the low utilization of 4G and 5G carriers during off-peak hours. While c…

cs.NI20263 cited

Quantifying the Energy-Saving and QoS Trade-Off in Traffic Offloading for Real 4G/5G Scenarios

D. Reiss, M. Catalan-Cid, D. Camps-Mur +1

Despite the potential for higher energy efficiency in 5G networks, current 5G Non-Standalone (NSA) deployments often operate suboptimally due to low utilization of 4G and 5G carrie…

cs.NI2026

A Practical AI-Driven Strategy for Cell On/Off Switching under Adaptable QoS Constraints

David Reiss, Miguel Catalan-Cid, Daniel Camps +1

The rapid expansion of 5G networks has intensified concerns over their sustainability, as denser Radio Access Network (RAN) deployments have increased overall power consumption. Al…

cs.NI2026

COSMO: O-RAN-Based Service Management and Orchestration for Cross-Technology Multi-Tenant Radio Access Networks

M. Catalan-Cid, J. J. Aleixendri, J. Pueyo +2

The evolution toward 6G networks envisions a heterogeneous Radio Access Network (RAN) comprising diverse access technologies, such as private 5G, public 4G/5G, and Wi-Fi, managed b…

cs.NI2025

Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management

Hatim Chergui, Miguel Catalan Cid, Pouria Sayyad Khodashenas +2

This paper introduces a novel framework for proactive cross-domain resource orchestration in 6G RAN-Edge networks, featuring large language model (LLM)-augmented agents. The system…