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