  The rapid increasing demand of wireless transmission has incurred mobile
broadband to continuously evolve through multiple frequency bands, massive
antennas and other multi-stream processing schemes. Together with the improved
data transmission rate, the power consumption for multi-carrier transmission
and processing is proportionally increasing, which contradicts with the energy
efficiency requirements of 5G wireless systems. To meet this challenge, multi
carrier power amplifier (MCPA) technology, e.g., to support multiple carriers
through a single power amplifier, is widely deployed in practical. With massive
carriers required for 5G communication and limited number of carriers supported
per MCPA, a natural question to ask is how to map those carriers into multiple
MCPAs and whether we shall dynamically adjust this mapping relation. In this
paper, we have theoretically formulated the dynamic carrier and MCPA mapping
problem to jointly optimize the traditional separated baseband and radio
frequency processing. On top of that, we have also proposed a low complexity
algorithm that can achieve most of the power saving with affordable
computational time, if compared with the optimal exhaustive search based
algorithm.
