Energy efficient power allocation strategy for 5G carrier aggregation scenario

Abstract

Abstract Carrier aggregation (CA) is considered to be a potential technology in next generation wireless communications. While boosting system throughput, CA has also put forward challenges to the resource allocation problems. In this paper, we firstly construct the energy efficiency optimization problem and prove that the function is strictly quasi concave. Then we propose a binary search-based power allocation algorithm to solve the strictly quasi concave optimization problem. Simulation results show that the proposed algorithm can greatly improve the system energy efficiency while keeping low computation complexity.

Keywords

• Carrier aggregation
• Power allocation
• Binary search
• Strictly quasi concave
• Optimization