publication . Conference object . 2018

dynamic functional split selection in energy harvesting virtual small cells using temporal difference learning

Temesgene, Dagnachew, A.; Miozzo, Marco; Dini, Paolo;
Open Access
  • Published: 09 Sep 2018
  • Publisher: IEEE
Abstract
Flexible functional split in Cloud Radio Access Network (CRAN) is a promising approach to overcome the capacity and latency challenges in the fronthaul. In such architecture, the baseband processing takes place partially at local base stations and the remaining processes are executed at the central cloud. On the other hand, we have seen a recent trend of powering base stations with ambient energy sources to achieve both environmental sustainability and profit advantages. As the base stations become smaller and deployed in densified manner, it is evident that baseband processing power consumption has a huge share in the total base station power consumption breakd...
Subjects
free text keywords: virtual small cells, functional split, CRAN, SARSA, temporal difference, Q-learning, Computer science, Energy harvesting, Reinforcement learning, Base station, Radio access network, Baseband, Cloud computing, business.industry, business, Temporal difference learning, Real-time computing
Funded by
EC| SCAVENGE
Project
SCAVENGE
Sustainable CellulAr networks harVEstiNG ambient Energy
  • Funder: European Commission (EC)
  • Project Code: 675891
  • Funding stream: H2020 | MSCA-ITN-ETN
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