# Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications

## TL;DR

This paper addresses the challenge of energy-efficient multi-carrier wireless communication by formulating a dynamic mapping problem for carriers to power amplifiers and proposing a low-complexity algorithm to optimize power savings.

## Contribution

It introduces a theoretical formulation for dynamic carrier and MCPA mapping and proposes an efficient algorithm to enhance energy efficiency in 5G systems.

## Key findings

- Significant power savings achieved with the proposed algorithm
- Theoretical formulation enables joint optimization of baseband and RF processing
- Low complexity algorithm approaches optimal power savings

## Abstract

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.