  Flexible functional split in Cloud Radio Access Network (CRAN) greatly
overcomes fronthaul capacity and latency challenges. In such architecture, part
of the baseband processing is done locally and the remaining is done remotely
in the central cloud. On the other hand, Energy Harvesting (EH) technologies
are increasingly adopted due to sustainability and economic advantages. Power
consumption due to baseband processing has a huge share in the total power
consumption breakdown of smaller base stations. Given that such base stations
are powered by EH, in addition to QoS constraints, energy availability also
conditions the decision on where to place each baseband function in the system.
This work focuses on determining the performance bounds of an optimal placement
of baseband functional split option in virtualized small cells that are solely
powered by EH. The work applies Dynamic Programming (DP), in particular,
Shortest Path search is used to determine the optimal functional split option
considering traffic QoS requirements and available energy budget.
