Exploring Intelligent Dynamic Resource Provisioning for Elastic Massive MIMO vRAN

Abstract

Computational demand in virtualized radio-access networks changes rapidly, especially with massive MIMO, while current systems commonly provision CPU resources statically. This paper studies dynamic resource provisioning and integrates a reinforcement-learning controller into a real-time, fully software massive-MIMO vRAN prototype. Early experiments show no significant advantage over a simple steepest-gradient-descent controller, likely because current open-source vRAN platforms do not capture the full complexity of production systems. The paper identifies challenges and opportunities for more intelligent elastic provisioning.

BibTeX

@inproceedings{elasticmimo,
  author = {Annamalai, Parthiban and Kim, Minsung and Khandelwal, Anurag and Zhong, Lin},
  title = {{Exploring Intelligent Dynamic Resource Provisioning for Elastic Massive MIMO vRAN}},
  booktitle = {ACM HotMobile},
  month = feb,
  year = {2025}
}