Energy Efficient Optimization Algorithms For Carrier Aggregation In LTE-A System

Nowadays,the energy consumption of wireless cellular network has become a very important research topic in the field of wireless communication.With the rapid growth of the number of user equipment in the world,the energy consumption of the communication equipment will increase sharply in the future.In the LTE-A system with carrier aggregation,the research scenarios of carrier management and resource scheduling is more complex.This paper is to study the energy efficiency optimization algorithm in LTE-A carrier aggregation system.The main work includes:I,for the LTE-A system with carrier aggregation,proposing a new energy efficient optimization algorithm based on greedy selection strategy,which optimizes the carrier selection strategy and resource block strategy,and improves the throughput of the whole network.Simulation results show that the proposed algorithm can achieve higher performance and lower complexity compared with the traditional optimization algorithm.II,for the base station transmit power's uncertainty,proposing a high efficiency optimization algorithm based on binary search.The base station power and power allocation scheme are combined to optimize the transmission power of the base station by binary search.The algorithm improves the energy efficiency of the system from the whole network.Simulation results show that the proposed algorithm can greatly reduce the network energy consumption and reduce the computational complexity to the acceptable range,compared with the traditional optimization algorithm.?,in this paper,the carrier selection and resource allocation algorithm and power allocation algorithm are simulated and verified.The effectiveness of the proposed algorithm is demonstrated by comparison with the traditional optimization algorithm.