Graduate School and Research Center in Digital Sciences

An artificial intelligence enabled F-RAN testbed

Lu, Zhaoming; Hu, Zhiqun; Han, Zijun; Wang, Luhan; Knopp, Raymond; Zhang, Yuheng

IEEE Wireless Communications, Vol.27, N°2, April 2020

F-RAN is regarded as a promising paradigm for mobile networks to alleviate the unprecedented traffic pressures and meet quality of service requirements of various 5G services with great flexibility. To make F-RAN work in a reliable, efficient, and smart way, AI-enabled F-RAN could be innovative in a number of directions: computing task offloading, resource management, dynamic beam selection, cross-layer design, energy saving and harvesting, mobility enhancement, and so on. In this article, an AI-enabled F-RAN testbed has been designed and implemented in a portable way based on OpenAirInterface, where an AI module is integrated into the F-RAN architecture. The AI module encapsulates the underlying operators of various machine learning frameworks to help a network make policies for different applications. Based on the proposed testbed, the F-RAN research community can easily analyze and evaluate their novel methods and quickly develop intelligent algorithms in a lab environment.

Doi Bibtex

Title:An artificial intelligence enabled F-RAN testbed
Department:Communication systems
Eurecom ref:6257
Copyright: © 2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Bibtex: @article{EURECOM+6257, doi = {}, year = {2020}, month = {05}, title = {{A}n artificial intelligence enabled {F}-{RAN} testbed}, author = {{L}u, {Z}haoming and {H}u, {Z}hiqun and {H}an, {Z}ijun and {W}ang, {L}uhan and {K}nopp, {R}aymond and {Z}hang, {Y}uheng}, journal = {{IEEE} {W}ireless {C}ommunications, {V}ol.27, {N}°2, {A}pril 2020}, url = {} }
See also: