Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks

Rajkarn Singh, Cengis Hasan, Xenofon Foukas, Marco Fiore, Mahesh K. Marina, Yue Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


RAN energy consumption is a major OPEX source for mobile telecom operators, and 5G is expected to increase these costs by several folds. Moreover, paradigm-shifting aspects of the 5G RAN architecture like RAN disaggregation, virtualization and cloudification introduce new traffic-dependent resource management decisions that make the problem of energy-efficient 5G RAN orchestration harder. To address such a challenge, we present a first comprehensive virtualized RAN (vRAN) system model aligned with 5G RAN specifications, which embeds realistic and dynamic models for computational load and energy consumption costs. We then formulate the vRAN energy consumption optimization as an integer quadratic programming problem, whose NP-hard nature leads us to develop GreenRAN, a novel, computationally efficient and distributed solution that leverages Lagrangian decomposition and simulated annealing. Evaluations with real-world mobile traffic data for a large metropolitan area are another novel aspect of this work, and show that our approach yields energy efficiency gains up to 25% and 42%, over state-of-the-art and baseline traditional RAN approaches, respectively.
Original languageEnglish
Title of host publicationIEEE INFOCOM 2021 - IEEE Conference on Computer Communications
Number of pages10
ISBN (Electronic)978-1-6654-0325-2
ISBN (Print)978-1-6654-3131-6
Publication statusPublished - 26 Jul 2021
Event2021 IEEE International Conference on Computer Communications - Virtual Conference
Duration: 10 May 202113 May 2021

Publication series

ISSN (Print)0743-166X
ISSN (Electronic)2641-9874


Conference2021 IEEE International Conference on Computer Communications
Abbreviated titleINFOCOM 2021
CityVirtual Conference
Internet address


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